This document is a curriculum vitae for Ashis Deb summarizing his professional experience and qualifications. He has over 2.5 years of experience in software development and analytics. Some of his skills include machine learning, R, Python, Hadoop, and SQL. He has worked on several projects for clients in various roles involving data analysis, model building, and developing applications and tools using R. His experience includes working onsite at Vodafone Qatar as a big data analyst.
Data Scientist Roles and Responsibilities | Data Scientist Career | Data Scie...Edureka!
** Data Science Master Program: https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka "Data Scientist Roles and Responsibilities" PPT talks about the various Job Descriptions and specific skill sets for the different kinds of Data Scientists that are there. It explains why Data Science is the best career move, right now. Learn about various job roles and what they actually mean and the learning path to make a career in Data Science. Below are the topics covered in this module:
What is Data Science?
Who is a Data Scientist?
Types of Data Scientists
Skills Required to Become a Data Scientist
Data Science Masters Program @Edureka
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist
Instagram: https://www.instagram.com/edureka_lea...
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Data Analyst vs Data Engineer vs Data Scientist | Data Analytics Masters Prog...Edureka!
** Data Analytics Masters' Program: https://www.edureka.co/masters-program/data-analyst-certification **
** Data Scientist Masters' Program: https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka PPT on "Data Analyst vs Data Engineer vs Data Scientist" will help you understand the various similarities and differences between them. Also, you will get a complete roadmap along with the skills required to get into a data-related career. Below topics are covered in this tutorial:
Who is data analyst, data engineer and data scientist?
Roadmap
Required skill-sets
Roles and Responsibilities
Salary Perspective
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Helping data scientists escape the seduction of the sandbox - Krish Swamy, We...Sri Ambati
This talk was given at H2O World 2018 NYC and can be viewed here: https://youtu.be/xc3j20Om3UM
Description:
Data science is indeed one of the sexy jobs of the 21st century. But it is also a lot of hard work. And the hard work is seldom about the math or the algorithms. It is about building relevant machine learning products for the real world. We will go over some of the must-haves as you take your machine learning model out of the sandbox and make it work in the big, bad world outside.
Speaker's Bio:
Krish Swamy is an experienced professional with deep skills in applying analytics and BigData capabilities to challenging business problems and driving customer insights. Krish's analytic experience includes marketing and pricing, credit risk, digital analytics and most recently, big data analytics and data transformation. His key experiences lie in banking and financial services, the digital customer experience domain, with a background in management consulting. Other key skills include influencing organizational change towards a data and analytics driven culture, and building teams of analysts, statisticians and data scientists.
Who is a Data Scientist? | How to become a Data Scientist? | Data Science Cou...Edureka!
** Data Scientist Masters' Program: https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka PPT on "Who is a Data Scientist" will help you understand what a data scientist does, their roles and responsibilities, and what the data science profile is all about. You will also get a glimpse of what kind of salary packages and career opportunities the data science domain offers.
Below topics are covered in this PPT:
Who is a Data Scientist?
What is Data Science?
Who can take up Data Science?
How to become a Data Scientist?
Data Scientist Skills
Data Scientist Roles & Responsibilities
Data Scientist Salary
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Data Scientist Roles and Responsibilities | Data Scientist Career | Data Scie...Edureka!
** Data Science Master Program: https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka "Data Scientist Roles and Responsibilities" PPT talks about the various Job Descriptions and specific skill sets for the different kinds of Data Scientists that are there. It explains why Data Science is the best career move, right now. Learn about various job roles and what they actually mean and the learning path to make a career in Data Science. Below are the topics covered in this module:
What is Data Science?
Who is a Data Scientist?
Types of Data Scientists
Skills Required to Become a Data Scientist
Data Science Masters Program @Edureka
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist
Instagram: https://www.instagram.com/edureka_lea...
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Data Analyst vs Data Engineer vs Data Scientist | Data Analytics Masters Prog...Edureka!
** Data Analytics Masters' Program: https://www.edureka.co/masters-program/data-analyst-certification **
** Data Scientist Masters' Program: https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka PPT on "Data Analyst vs Data Engineer vs Data Scientist" will help you understand the various similarities and differences between them. Also, you will get a complete roadmap along with the skills required to get into a data-related career. Below topics are covered in this tutorial:
Who is data analyst, data engineer and data scientist?
Roadmap
Required skill-sets
Roles and Responsibilities
Salary Perspective
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Helping data scientists escape the seduction of the sandbox - Krish Swamy, We...Sri Ambati
This talk was given at H2O World 2018 NYC and can be viewed here: https://youtu.be/xc3j20Om3UM
Description:
Data science is indeed one of the sexy jobs of the 21st century. But it is also a lot of hard work. And the hard work is seldom about the math or the algorithms. It is about building relevant machine learning products for the real world. We will go over some of the must-haves as you take your machine learning model out of the sandbox and make it work in the big, bad world outside.
Speaker's Bio:
Krish Swamy is an experienced professional with deep skills in applying analytics and BigData capabilities to challenging business problems and driving customer insights. Krish's analytic experience includes marketing and pricing, credit risk, digital analytics and most recently, big data analytics and data transformation. His key experiences lie in banking and financial services, the digital customer experience domain, with a background in management consulting. Other key skills include influencing organizational change towards a data and analytics driven culture, and building teams of analysts, statisticians and data scientists.
Who is a Data Scientist? | How to become a Data Scientist? | Data Science Cou...Edureka!
** Data Scientist Masters' Program: https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka PPT on "Who is a Data Scientist" will help you understand what a data scientist does, their roles and responsibilities, and what the data science profile is all about. You will also get a glimpse of what kind of salary packages and career opportunities the data science domain offers.
Below topics are covered in this PPT:
Who is a Data Scientist?
What is Data Science?
Who can take up Data Science?
How to become a Data Scientist?
Data Scientist Skills
Data Scientist Roles & Responsibilities
Data Scientist Salary
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Data Scientist Salary, Skills, Jobs And Resume | Data Scientist Career | Data...Simplilearn
This presentation about "Data Science Engineer Career, Salary, and Resume" will help you understand who is a Data Science Engineer, the salary of a Data Science Engineer, Data Science Engineer Skillset and Data Science Engineer Resume. Data science is a systematic way to analyze a massive amount of data and extract information from them. Data Science can answer a lot of questions, as well. Data Science is mainly required for
better decision making, predictive analysis, and pattern recognition.
Below are topics that we will be discussing in this presentation:
1. Introduction to Data Science
2. Who is a Data Science Engineer
3. Data Science Engineer Skillset
4. Data Science Engineer job roles
5. Data Science Engineer salary trends
6. Data Science Engineer Resume
Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. The data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data, you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to:
1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package
5. Gain expertise in machine learning using the Scikit-Learn package
Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
Learn more at https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training
I like to take up new roles lead the team and play with data.I have turned my day to day passion to new role and I am working with Data sets to extract more and more information. I love to recognize pattern's in data and this is what I do very passionately.
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The slides summarize an analysis on the demand pattern of analyst opportunity (like data analyst, data science) in the U.S.
In a nutshell, it answer four questions, including the demand trend, demand source, degree and skill requirement based on the online job posting data.
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This Edureka Data Science course slides will take you through the basics of Data Science - why Data Science, what is Data Science, use cases, BI vs Data Science, Data Science tools and Data Science lifecycle process. This is ideal for beginners to get started with learning data science.
You can read the blog here: https://goo.gl/OoDCxz
You can also take a complete structured training, check out the details here: https://goo.gl/AfxwBc
Data Science Training | Data Science Tutorial for Beginners | Data Science wi...Edureka!
***** Data Science Training - https://www.edureka.co/data-science *****
This Edureka tutorial on "Data Science Training" will provide you with a detailed and comprehensive training on Data Science, the real-life use cases and the various paths one can take to become a data scientist. It will also help you understand the various phases of Data Science.
Data Science Blog Series: https://goo.gl/1CKTyN
http://www.edureka.co/data-science
At Data-centric Architecture Forum 2020 Thomas Cook, our Sales Director of AnzoGraph DB, gave his presentation "Knowledge Graph for Machine Learning and Data Science". These are his slides.
Enroll for the most demanding skill in the world now. In the first place, Data Science Training in Chennai from Softlogic will take your career to a new height. Secondly, we offer you an amazing platform to study and explore the subject from experts. Additionally, we offer Python, R, and machine learning data science courses.
Mesurer et auditer la présence d'une marque. Extrait de cours dispensé auprès des étudiants de Master Professionnel Stratégies de Marques et Communication Plurimédia (CELSA)
Data Scientist Salary, Skills, Jobs And Resume | Data Scientist Career | Data...Simplilearn
This presentation about "Data Science Engineer Career, Salary, and Resume" will help you understand who is a Data Science Engineer, the salary of a Data Science Engineer, Data Science Engineer Skillset and Data Science Engineer Resume. Data science is a systematic way to analyze a massive amount of data and extract information from them. Data Science can answer a lot of questions, as well. Data Science is mainly required for
better decision making, predictive analysis, and pattern recognition.
Below are topics that we will be discussing in this presentation:
1. Introduction to Data Science
2. Who is a Data Science Engineer
3. Data Science Engineer Skillset
4. Data Science Engineer job roles
5. Data Science Engineer salary trends
6. Data Science Engineer Resume
Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. The data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data, you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to:
1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package
5. Gain expertise in machine learning using the Scikit-Learn package
Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
Learn more at https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training
I like to take up new roles lead the team and play with data.I have turned my day to day passion to new role and I am working with Data sets to extract more and more information. I love to recognize pattern's in data and this is what I do very passionately.
Understand the Demand of Analyst Opportunity in U.SJiaming Zhang
The slides summarize an analysis on the demand pattern of analyst opportunity (like data analyst, data science) in the U.S.
In a nutshell, it answer four questions, including the demand trend, demand source, degree and skill requirement based on the online job posting data.
Data Science as a Service: Intersection of Cloud Computing and Data SciencePouria Amirian
Dr. Pouria Amirian explains data science, steps in a data science workflow and show some experiments in AzureML. He also mentions about big data issues in a data science project and solutions to them.
What Is Data Science? Data Science Course - Data Science Tutorial For Beginne...Edureka!
This Edureka Data Science course slides will take you through the basics of Data Science - why Data Science, what is Data Science, use cases, BI vs Data Science, Data Science tools and Data Science lifecycle process. This is ideal for beginners to get started with learning data science.
You can read the blog here: https://goo.gl/OoDCxz
You can also take a complete structured training, check out the details here: https://goo.gl/AfxwBc
Data Science Training | Data Science Tutorial for Beginners | Data Science wi...Edureka!
***** Data Science Training - https://www.edureka.co/data-science *****
This Edureka tutorial on "Data Science Training" will provide you with a detailed and comprehensive training on Data Science, the real-life use cases and the various paths one can take to become a data scientist. It will also help you understand the various phases of Data Science.
Data Science Blog Series: https://goo.gl/1CKTyN
http://www.edureka.co/data-science
At Data-centric Architecture Forum 2020 Thomas Cook, our Sales Director of AnzoGraph DB, gave his presentation "Knowledge Graph for Machine Learning and Data Science". These are his slides.
Enroll for the most demanding skill in the world now. In the first place, Data Science Training in Chennai from Softlogic will take your career to a new height. Secondly, we offer you an amazing platform to study and explore the subject from experts. Additionally, we offer Python, R, and machine learning data science courses.
Mesurer et auditer la présence d'une marque. Extrait de cours dispensé auprès des étudiants de Master Professionnel Stratégies de Marques et Communication Plurimédia (CELSA)
Charla realizada durante H&B. Analizamos desde un punto de vista práctico la definición de las cookies, así como las diversas técnicas que podemos utilizar para aprovecharnos de estos elementos presentes en prácticamente la totalidad de las páginas web.
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After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
1. Curriculum Vitae
ASHIS DEB
Predictive Research .
Email: ashisdeb83@gmail.com
Mobile: +91- 9742579872
8553825317
LinkedIn: https://in.linkedin.com/in/ashis-deb-63087041
Professional Summary:
Having 2.6 years of experience in applications development ,algorithm development and
maintenance with good exposure to varied areas of software development life cycle like
administrative, design, coding, testing and implementation .
2 years of experience in Analytical related technologies.
In depth knowledge of Analytics distribution and algorithm development.
Machine Learning Technologies like naive Bayes, KNN for predictive analytics .
Time Series data analysis (Stock Market historical data).
Experience in using R ,Python ,Excel, Hadoop ecosystem ,spark.
Experience in working with Linux(Ubantu ,Oracle Linux and CentOS) environments.
Having experience in Application Development and Maintenance project.
Functional knowledge of Data Modeling on Automobile data ,Telecom data and Real
Estate data .
Professional Experience:
Working as Senior Data Analyst at Predictive Research, Bangalore from Dec 2013 to till
date.
Achievements:
Working Onsite - Worked at Vodafone Qatar onsite as a Big Data Analyst Specialist
from August 2015 to November .
Client Appreciation – Received numerous client appreciations for design, development
and deployment of critical enhancements in Project .
Academic Profile:
Btech in Information Technology from BPUT Orrisa .
Skill Set:
Analytical Tools : R-(3.0.1 -3.2.3), RStudio , Rodeo, IPython notebook.
Packages : Dplyr ,rattle ,reshape ,gWidgets ,GTK2+ ,quantmod .
Big Data Technologies : Hadoop, Hdfs .
Languages : C# ,C,C++,Python .
Operating Systems : Ubuntu, Centos, oracle Linux.
RDBMS and Tools : Mysql,sql server-2012.
2. Web Applications : R Shiny-0.13.
Tools developed using R shiny :
1. https://www.youtube.com/watch?v=BXrwL7xoKuo
2. https://predictive-recommender.shinyapps.io/Recommender
3. https://predictive-recommender.shinyapps.io/bda_suite
Packages developed using R gWidgets and Gtk2+ :
1. https://www.youtube.com/watch?v=s6LIzs_afco
2. https://www.youtube.com/watch?v=fAKsgAjwYws
3. https://www.youtube.com/watch?v=umStkNseQRA
Project # 5
Title: Smart Leads
Client: Trilogy.
Duration : 6 months
Environment: R, SQL Server-2012, Excel.
Description: This project aim is to find the best lead in smartlead data(Hyundai Data) using data
modeling and data mining technique, Here we preprocessed the data in R (Removing
Outliers,filling missing values in cells ,removing rows having NA's ) ,applied RandomForest
classification for important variable selection ,then divided the data in 80/20 as training and
testing build the model using training dataset and tested it using the testing dataset and verified
the model using confusion matrix.
Roles and Responsibilities:
Preprocessing and analyzing data in R and excel and plotting pivot chart.
Appling feature selection machine learning techniques Random Forest and AIC/BIC for
variable importance.
Creating (GLM) Generalized Linear Model, Neural Networks , Naive Bayes ,Support Vector
Machine (SVM) to build a model and analyzing Acceptance Rate , Close Rate etc using
Confusion Matrix.
Developing R scripts for modeling.
Project Details:
Project # 4
Title: Health Risk Model
Client: Secureinfosys.
Duration :5.5 months.
Environment: R, SQL Server-2012, Excel.
Description: This project aim is to create a health risk model for cancer patient data using data
modeling and data mining technique whether patient got readmitted or not, Here we
preprocessed the data .
3. Roles and Responsibilities:
Preprocessing and analyzing data in excel and plotting pivot chart.
Appling feature selection machine learning techniques Random Forest for variable
importance.
Creating (GLM) Generalized Linear Mode, plotting roc curve and confusion matrix of model.
Developing R scripts for modeling.
Created a C# dll using "RDotnet" package which can be used and called in C# application
to analyze the model.
Project Details:
Project # 3
Title: Telecom Immunity .
Client: Vodafone
Duration:4 months(Onsite exposure in Qatar).
Environment: R , Cloudera Manager 5.2.5, Oracle Linux 6, Hadoop, HUE, Pig, Hive, Oozie,
Flume, Morphine, Regex, Elasticsearch.
Description: In this project Vodafone Qatar wants to analyze the top 10 % least performing cell
sites from the top performing cell sites and to trigger a alert on a daily basis(ATV value) .
Roles and Responsibilities:
Performed as an analyst and R developer in client site Vodafone Qatar.
Using "Rhdfs" package for basic connection to Hadoop ecosystem .
Using "Plymr" package to analyze the data for performing various data analysis.
Extracting daily data from Analytical node in Hadoop using RHdfs and plymr package .
Doing data manipulation and storing the bottom 10% cell site into Elastic Search .
Project # 2
Title: Rate of Investment on Remodeling Houses :
Client: MyKukun.com.
Duration:5 months .
Environment: R, MySQL.
Description : We built ROI Analytical Model based on the Real Estate Historical market rates. Based
on the location and remodeling changes opted by the user, the model used to calculate the Investment
and Returns on the Investment.
Roles and Responsibilities:
Analyzing the data using excel and R .
Functional Programming to take data from various data table stored in MySql using
"RMysql" package .
Scripting in R to found out user location using google api and give them a prediction
result of ROI they can get by investing in certain remodelling of house or addition of a
room in there house .
Storing the result in MySql .
Project # 1
4. Title: Stock market prediction (Finance Project) .
Client: Client.
Duration: 2 months.
Environment: Revolution R, Shiny.
Description: This project is about determining the performance of the companies stocks (apple
,Microsoft ,Nike etc) for next day ,next month and for next year .
Roles and Responsibilities:
Used Packages like Shiny , Dplyr , Quantmod ,RExcel, RDcom Server, ggplot ,Financial
Instruments .
Taking historical stock data's from YAHOO Finance using Quantmod package and taking
there Close prices to predict the future of the stock for tomorrow , next week and next
month .
Using Machine Learning tool (Genetic Algorithm ) to generate rules .
Generate graphical representation of the the stock using ggplot .
Using Excel as an front end and R as an Backend ,written Macro codes to prepare buttons
in excel
and generate R results in excel.
Personal Strengths:
Self-starter, willing to tackle new and challenging problems.
Multi-tasking, quick grasp, Very patient, problem solving and Professional attitude completely
focused on results, with goal oriented approach.
Organized and enthusiastic, with a positive attitude and Commitment to the highest level of
Professional Excellence.
Education Background:
B.Tech. in Information Technology from Gandhi Institute of engineering & Technology(GIET) with 6.88
C.G.P.A under Biju Patnaik University of Technology (B.P.U.T) in the year 2011.
Passed Higher Secondary (XIIth) from vivekananda kendra vidyalaya under CBSE with 59 %.
Passed Secondary (Xth) from vivekananda kendra vidyalaya under CBSE with 69 %.
Personal Details:
Passport Number : K0159542
Location : Bangalore
Language known : English, Hindi
Declaration:
I certify that all the information I furnish herein is factually correct to the best of my knowledge
and belief and accept that it is subject to verification by the organization.
Place : Bangalore
ASHIS DEB