Tanmaya Sahu is seeking a challenging opportunity to work with an organization that recognizes his potential and nurtures his analytical, data science, and business analysis skills. He has a B-Tech in computer science from IIIT Bhubaneswar and internship experience in network security and routing from IIT KGP. His skills include Python, machine learning algorithms, data visualization, and natural language processing. He has completed personal projects applying these skills to datasets involving the Titanic, housing prices, wine tasting, and spam detection.
Machine learning with an effective tools of data visualization for big dataKannanRamasamy25
Arthur Samuel (1959) :
"Field of study that gives computers the ability to learn without being explicitly programmed“
Tom Mitchell (1998) :
“A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E”.
There are several ways to implement machine learning algorithms
Automating automation
Getting computers to program themselves
Writing software is the bottleneck
Let the data do the work instead!
Top Machine Learning Tools and Frameworks for Beginners | EdurekaEdureka!
YouTube Link: https://youtu.be/v0uVu5__JGg
** Machine Learning Training with Python: https://www.edureka.co/python **
This Edureka PPT will provide you with a list of Machine Learning tools and Frameworks that one must know about.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
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LinkedIn: https://www.linkedin.com/company/edureka
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Machine learning with an effective tools of data visualization for big dataKannanRamasamy25
Arthur Samuel (1959) :
"Field of study that gives computers the ability to learn without being explicitly programmed“
Tom Mitchell (1998) :
“A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E”.
There are several ways to implement machine learning algorithms
Automating automation
Getting computers to program themselves
Writing software is the bottleneck
Let the data do the work instead!
Top Machine Learning Tools and Frameworks for Beginners | EdurekaEdureka!
YouTube Link: https://youtu.be/v0uVu5__JGg
** Machine Learning Training with Python: https://www.edureka.co/python **
This Edureka PPT will provide you with a list of Machine Learning tools and Frameworks that one must know about.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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
Castbox: https://castbox.fm/networks/505?country=in
Big data. Small data. All data. You have access to an ever-expanding volume of data inside the walls of your business and out across the web. The potential in data is endless – from predicting election results to preventing the spread of epidemics. But how can you use it to your advantage to help move your business forward?
Data is growing exponentially and it’s now possible to mine and unlock insights from data in new and unexpected ways. Empower your business to take advantage of this data by harnessing the rich capabilities of Microsoft SQL Server and the familiarity of Microsoft Office to help organize, analyze, and make sense of your data—no matter the size.
PASS Summit Data Storytelling with R Power BI and AzureMLJen Stirrup
How can we use technology to help the organization make data-driven decision-making part of its organizational DNA, while retaining the context of the business as a whole? How can we imprint data in the culture of the organization and make it easily accessible to everyone? Microsoft directly empowers businesses to derive insights and value from little and big data, through its release of user-friendly analytics through Azure Machine Learning (ML) combined with its acquisition of Revolution Analytics. Power BI can be used to create compelling visual stories around the analysis so that the work is not left to the data consumer. Together, these technologies can be used to make data and analytics part of the organization's DNA.
There are no prerequisites, but attendees are welcome to follow along with the demo if they have an Azure ML and Power BI account and R installed. Files will be released before the session.
Predicting the Future with Azure Machine LearningPaul Prae
In this talk, I focus on supervised learning, a machine learning technique for performing predictive analytics. After introducing some vocabulary, I discuss the relationship between predictive analytics and machine learning. Next, I describe how you could use a classifier, such as a decision tree, to predict which passengers survived the sinking of the Titanic. Once the machine learning process is clear, I then talk about how Azure Machine Learning is an end-to-end data science solution. Finally, I demo an experiment that predicts the outcomes of patients who went through substance abuse treatment.
Seeking a challenging position in the IT sector so as to contribute and improve my skills and abilities to serve the organization and build my professional career in the IT industry.
Seeking a challenging position in the IT sector so as to contribute and improve my skills and abilities to serve the organization and build my professional career in the IT industry.
Looking to add up some tech-related set of Skills, Why not opt for our Data Science Course. A blend of Mathematics, Business Acumen, Tools, Algorithms, and Machine Learning Techniques.
Data Scientist has been regarded as the sexiest job of the twenty first century. As data in every industry keeps growing the need to organize, explore, analyze, predict and summarize is insatiable. Data Science is creating new paradigms in data driven business decisions. As the field is emerging out of its infancy a wide range of skill sets are becoming an integral part of being a Data Scientist. In this talk I will discuss the different driven roles and the expertise required to be successful in them. I will highlight some of the unique challenges and rewards of working in a young and dynamic field.
In the Dark? Understanding Big Data & AI: Talent Acquisition Strategies for 2018Yoh Staffing Solutions
Big Data and AI have changed the way companies acquire people. Is your organization one of them? Shed some light on this innovation with these valuable tips and gain a better understanding of the implications Big Data and AI can have on your talent acquisition strategy.
Big data. Small data. All data. You have access to an ever-expanding volume of data inside the walls of your business and out across the web. The potential in data is endless – from predicting election results to preventing the spread of epidemics. But how can you use it to your advantage to help move your business forward?
Data is growing exponentially and it’s now possible to mine and unlock insights from data in new and unexpected ways. Empower your business to take advantage of this data by harnessing the rich capabilities of Microsoft SQL Server and the familiarity of Microsoft Office to help organize, analyze, and make sense of your data—no matter the size.
PASS Summit Data Storytelling with R Power BI and AzureMLJen Stirrup
How can we use technology to help the organization make data-driven decision-making part of its organizational DNA, while retaining the context of the business as a whole? How can we imprint data in the culture of the organization and make it easily accessible to everyone? Microsoft directly empowers businesses to derive insights and value from little and big data, through its release of user-friendly analytics through Azure Machine Learning (ML) combined with its acquisition of Revolution Analytics. Power BI can be used to create compelling visual stories around the analysis so that the work is not left to the data consumer. Together, these technologies can be used to make data and analytics part of the organization's DNA.
There are no prerequisites, but attendees are welcome to follow along with the demo if they have an Azure ML and Power BI account and R installed. Files will be released before the session.
Predicting the Future with Azure Machine LearningPaul Prae
In this talk, I focus on supervised learning, a machine learning technique for performing predictive analytics. After introducing some vocabulary, I discuss the relationship between predictive analytics and machine learning. Next, I describe how you could use a classifier, such as a decision tree, to predict which passengers survived the sinking of the Titanic. Once the machine learning process is clear, I then talk about how Azure Machine Learning is an end-to-end data science solution. Finally, I demo an experiment that predicts the outcomes of patients who went through substance abuse treatment.
Seeking a challenging position in the IT sector so as to contribute and improve my skills and abilities to serve the organization and build my professional career in the IT industry.
Seeking a challenging position in the IT sector so as to contribute and improve my skills and abilities to serve the organization and build my professional career in the IT industry.
Looking to add up some tech-related set of Skills, Why not opt for our Data Science Course. A blend of Mathematics, Business Acumen, Tools, Algorithms, and Machine Learning Techniques.
Data Scientist has been regarded as the sexiest job of the twenty first century. As data in every industry keeps growing the need to organize, explore, analyze, predict and summarize is insatiable. Data Science is creating new paradigms in data driven business decisions. As the field is emerging out of its infancy a wide range of skill sets are becoming an integral part of being a Data Scientist. In this talk I will discuss the different driven roles and the expertise required to be successful in them. I will highlight some of the unique challenges and rewards of working in a young and dynamic field.
In the Dark? Understanding Big Data & AI: Talent Acquisition Strategies for 2018Yoh Staffing Solutions
Big Data and AI have changed the way companies acquire people. Is your organization one of them? Shed some light on this innovation with these valuable tips and gain a better understanding of the implications Big Data and AI can have on your talent acquisition strategy.
Best Data Science Hybrid Course in Pune
Data Science, in its simpler terms, is about generating critical business value from the data through various creative ways. It can also be defined as a mix of data research, algorithms, and technology to solve complex analytical issues. Data is being generated by Companies at an exponential pace. The usable Data form can be different for different sections of people working in an organization.
Data Science Classes help us to explore the data to a granular form and find the needed insights. Data Science is about being analytical or inquisitive wherein asking new questions, doing further explorations, and continuing learning is a part of the job for Data Scientists.
According to Harward Business Review, Data Scientist is the Sexiest Job of the 21st Century.
According to Forbes, IBM Predicts Demand For Data Scientists Will Soar 28% By 2020
GET FRONTLINE DATA SCIENCE TRAINING IN PUNE AT 3RI TECHNOLOGIES
Data Science is a trending niche, for it promises notable mileage for the business economy! It is rather ironic that data which was considered a burden to manage and store only about a few decades ago is now viewed as a resource; courtesy of course to data scientists. They have brought about a paradigmatic change through their skills which allow them to derive the value from raw data. It is important to mention that ‘Raw Data’ is clueless to most laymen, including the high echelons in business management; but when processed through Data Science Tools, it renders value that is precious and immense for the decision-makers and salesmen. They are all riding on the Professionalism of the Data Scientists and this generates the demand of the latter! 3RI Technologies is the leading institution offering Data Science Classes in Pune and fresh graduates as well as Working Professionals can enroll for it.
WHAT IS DATA SCIENCE?
Today, Data Science is a much-talked subject and its significance is being deliberated among the business managers who are eager to hire a brilliant professional onboard their firm. Data Science is a milieu space that is shared by the distinct yet related domains of statistics & applicative mathematics, computer programming frameworks and tools, data metrics, and analytics. Machine Learning & associated automation underpins all the above-listed fields, almost as a generic derivative; because it is through this channel that the good results are accrued in favor of the business clients. What are these good results? Let’s talk about them!
Trending smart services that are propelling businesses around the world such as SEO, SMO, SMM, SEM and CRM, all revolve around the ability to generate leads of authentic value for the commerce banners. The web developers have been doing well through their professional conduct for their clients but they in turn actively seek the ‘Meaningful Data’ about the existing and potential customers, the market trends, and the competition figures of the biz rivals. Here, Data Sc
IIPGH Webinar 1: Getting Started With Data Scienceds4good
In this webinar for ICT Professionals Ghana, we explore the concepts of data science and its motivations as a recent specialization. creating the background for how Artificial Intelligence relates to Machine Learning and to Deep Learning. We further discuss the data science technology stack and the opportunities that exist in the space.
Brochure data science learning path board-infinity (1)NirupamNishant2
Board Infinity is a best digital marketing and data science institute in mumbai, which is a full-stack career platform for students and jobseekers enabled by personalised learning paths,career coaches and access to various job oppurtunities. We provide online and offline training in Data Science, Digital Marketing, Full stack Web Development,Product management< machine learning and Atrificial Intelligence,Online career counselling and other career solutions
Data Science from Edureka learning center is now in Thane. We will equip you with the tools and necessary skills to become a Data Scientist You will learn tools, languages and framework like Python, Numpy, Pandas, matplotlib, NLTK, TensorFlow, Tableau. On successful completion of the course, you are ready for job roles of a Data Analyst, Data Visualization Specialist, Data engineer and more. For more details you can contact us
I am a passionate and hardworking student currently pursuing my Bachelor's degree in Information Technology. My areas of Interest include Software Development, Data Structures and Algorithms, Machine Learning. I am open for full-time Job Opportunities.
I also love creative writing, public speaking, community service and sports.
Discover the gateway to limitless possibilities at CBITSS. As a premier institution in technology education and consultancy, we specialize in nurturing the next generation of tech leaders. With a focus on practical skills and industry relevance, our training programs equip you with the expertise needed to excel in today's digital world. Whether you're a student aspiring to enter the tech industry or a professional seeking to upskill, CBITSS provides the perfect platform to ignite your career aspirations. Join us and embark on a transformative journey towards a brighter, tech-driven future.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
1. Tanmaya Sahu
Data-Science Enthusiast
Looking for a challenging opportunity to work with an organization which recognizes my true potential
and effectively nurtures my analytical, Data Science and Business Analysis Skills.
tnmsahu22@gmail.com 7978732432 IIIT BHUBANESWAR, ODISHA, INDIA 26 November, 1998
EDUCATION
01/2005 – 04/2016
High School
Delhi Public School,Bhilai
08/2016 – 2020
B-Tech
IIIT BHUBANESWAR
COMPUTER SCIENCE
WORK EXPERIENCE
05/2017 – 08/2017
Trainee/Intern
IIT KGP
Was trained in Network Security & Routing in real time
scenario.
SKILLS
Python NumPy Web Scraping DataScience
Pandas Machine Learning Algorithms JAVA
HTML Microsoft Excel Seaborn NLP
Beautiful Soup & Requests Matplotlib
PERSONAL PROJECTS
TITANIC DATASET
Has worked on the Famous Titanic dataset for enhancing my Data
cleaning, Data Wrangling, Data Visualization and Data Modelling
skills.
HOUSING PRICE PREDICTION
Has worked on House Price prediction dataset.
SPAM & HAM DATASET
Has worked on SMS Spam and Ham UCI dataset for Applying my
Natural Language Processing (NLP) knowledge.
WINE TASTING DATASET
Has worked on Wine tasting dataset.
AUTOMATION
Has worked on various scripts in normal day to day life - Cricket
Score Update in every minute,Mess Booking System and spamming
of non-secure college Websites using Automation.
FINANCIAL DATASET HACKATHON(L&T inc.)
Has worked on a Loan Prediction Dataset in order to automate the
Loan eligibility process.(ongoing)
CERTIFICATES
Udemy's Machine Learning A-Z course
(11/2018 – 02/2019)
Has Completed Udemy's Machine Learning A-Z course.
ML FOR EVERYONE
Has Completed Coursera's Machine Learning course by Andrew ng
LANGUAGES
HINDI
Native or Bilingual Proficiency
ENGLISH
Native or Bilingual Proficiency
INTERESTS
Deep Learning AI Computer vision
Courses
Achievements/Tasks