A Data Science professional with two years of experience in handling 2 Fortune 50 clients,one in Search Engine Marketing and one in Retail Industry.Experienced in building Classification and Regression models,delivering insights using descriptive statistics
Data Science training in Bangalore - Learnbay.inKrishna Kumar
Real Time Projects And Case Studies in Python/R for Data Science Course. Learnbay Provides data science training in bangalore and project experience for working professional .
Data Science training in Bangalore - Learnbay.inKrishna Kumar
Real Time Projects And Case Studies in Python/R for Data Science Course. Learnbay Provides data science training in bangalore and project experience for working professional .
Data Science Salon: Adopting Machine Learning to Drive Revenue and Market ShareFormulatedby
The race is on to gain strategic and proprietary insights into changes in customer preferences before your competitors. This workshop will cover how and why machine learning is the tool for marketers to drive revenue and increase market share. The adoption of machine learning does not happen overnight. We will discuss the Five Es of machine learning maturity – Educating, Exploring, Engaging, Executing and Expanding. Hear real-world examples of using machine learning to accelerate revenue, identify new customers and introduce new products based on machine learning capabilities.
Next DSS MIA Event - https://datascience.salon/miami/
Professional, Smart, Highly Passionate & Hard-Working Business Analyst and my only objective is to utilize and learn new skills and want to be one of the reason for your success.
Data Science Salon: Adopting Machine Learning to Drive Revenue and Market ShareFormulatedby
The race is on to gain strategic and proprietary insights into changes in customer preferences before your competitors. This workshop will cover how and why machine learning is the tool for marketers to drive revenue and increase market share. The adoption of machine learning does not happen overnight. We will discuss the Five Es of machine learning maturity – Educating, Exploring, Engaging, Executing and Expanding. Hear real-world examples of using machine learning to accelerate revenue, identify new customers and introduce new products based on machine learning capabilities.
Next DSS MIA Event - https://datascience.salon/miami/
Professional, Smart, Highly Passionate & Hard-Working Business Analyst and my only objective is to utilize and learn new skills and want to be one of the reason for your success.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
1. Ankita Ghosh
Data Scientist
A Data scientist with 2 years of experience in working with two of the Fortune 50 Retail and Technology
clients .Proficient in problem solving using different Machine Learning techniques and algorithmic
approach to deliver insights and implement action oriented solutions.Inquisitive and hard working by
nature.Believes in continuous learning and extreme experimentation
mail2ag08@gmail.com 08622837748 Bangalore, India
WORK EXPERIENCE
09/2018 – Present
Data Scientist
Mu Sigma Inc.
Bangalore,India
Data Analytics
Retail Industry :
Demand Forecast Model Comparison : Built a Demand
Forecast model for the whole marketplace that helped in
forecasting the demands based on region 10% more
accurately
Early Price Reduction Product Identifier : Built a framework
to fix the optimum time of reducing the price of a newly
launched product in supply chain domain
Search Engine Marketing :
Advertiser Engagement Scoring : Created a PCA based
scoring framework based on the engagement of the
customers with the search engine platform leading to
increase in acceptance rate for sales pitches by 8%
Email Campaign design and Impact Measurement :
Developed a test/control stratification framework for rolling
out multiple email campaigns on suitable
customers,designed the email contents for different groups
and measured the impacts of the same.An increase in click
rate by 3% was observed
Reject Reason Classification : Built an NLP based framework
to identify the reasons behind the rejection of
recommendations by advertisers and design of actionable
next steps for Sales pitches
Existing Customer Profiling and Churn classifier : Divided the
customer base into separate profiles/clusters and probable
churners based on their engagement with the search engine
platform to identify them separately and customizing the
help they required
EDUCATION
08/2014 – 05/2018
Graduation
NIT Durgapur
8.97/10.00
Computer Science
06/2012 – 06/2014
High Secondary
WBCHSE
89%
2012
Secondary
WBSE
88%
SKILLS
R Python SQL Excel PowerBI Tableau
Scope Classification Forecasting
Cluster Analysis Hypothesis Testing
Recommender Systems Regression Analysis
Leadership Business Statistics
Natural Language Prcessing C C++ HTML
CSS JavaScript
PROJECTS AND INTERNSHIPS
Smart Course Review Management System(B.Tech
Project) (03/2017 – 05/2018)
Objective: Built an interactive online feedback system for reviewing
all the courses taught in multiple disciplines using MEAN stack
model and sentiment Analysis
Web Developer Intern (05/2017 – 06/2017)
Developed websites for multiple online retailers
Created mobile application prototypes for multiple food joints
HONOURS AND AWARDS
Star Performer Award
Awarded the Star Performer of the team based on my contribution
towards several projects simulataniously
State Level Champion in Rabindra Sangeet Competition
Official Treasurer of SPIC MACAY NIT Durgapur Chapter
(04/2017 – 05/2018)
Fetched sponsorship of INR 1,00,000 for an year
LANGUAGE
English
Full Professional Proficiency
Bengali
Native or Bilingual Proficiency
Hindi
Full Professional Proficiency
INTERESTS
Singing Painting Cooking
Reading Story Books Travelling Solving Puzzles
Achievements/Tasks
Courses
