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MS by Research @IIT KANPUR || Former Young Research Fellow at IIIT-HYD | Reinforcement Learning | AI/ML & Data Science | LLMs | Currently @IDEAL Lab.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
• Career Goals: Aspiring to be a great AI researcher. "The idea is not to be the same as the rest." "A hundred times every day I remind myself that my inner and outer life is based on the labors of other men, living and dead, and that I must exert myself in order to give in the same measure as I have received and am still receiving." — Albert Einstein
Indian Institute of Technology, Kanpur
Master of Science - MS by Research EE, Reinforcement learning, Optimization, Probability Theory
January 1, 2025 – Present
Ramakrishna Mission Vidyamandira
Msc Computer Science & Machine Intelligence, Machine learning, Deep Learning, NLP, Computer Vision, Probability and Statistics
January 1, 2021 – January 1, 2023
Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT
Bachelor of Computer Application(BCA), Computer Science ,Machine Learning
January 1, 2018 – January 1, 2021
Sudarshanpur Dwarika Prasad Uchcha Vidyachakra
Higher Secondary in science, Physics, Chemistry, Math and Biology
January 1, 2012 – January 1, 2018
Indian Institute of Technology, Kanpur
Teaching Assistant (ESO 203 - Electrical Lab)
December 1, 2025 – April 1, 2026
On-site
Electrical Engineering Association (EEA), IIT Kanpur
Social Media Marketing Manager
August 1, 2025 – Present
Kanpur, Uttar Pradesh, India · On-site
International Institute of Information Technology Hyderabad (IIITH)
Young Research Fellow
July 1, 2023 – September 1, 2023
Hyderabad, Telangana, India · On-site
AICTE Training And Learning (ATAL) Academy
AICTE Training and Learning
September 1, 2022 – September 1, 2022
Alphaa AI
Data science Fellowship
December 1, 2020 – December 1, 2021
The Sparks Foundation
Data Science and Business Analytics
November 1, 2020 – December 1, 2020
US Superstore Data Analysis
November 1, 2021 – January 1, 2022
ABOUT THE PROJECT : The project is all about creating strategies by understanding and visualizing the data by this to find crucial information so that company can make DATA DRIVEN DESSION . 📌WEEK ONE : Week 1 was all about Exploratory Data analysis which was most important and initial part to understand our data pretty well. Task completion Link : https://www.linkedin.com/posts/pankaj-kumar-barman-5a66761a7_excel-alphaaai-week1-activity-6743066229071736832-szdf 📌WEEK TWO : Week 2 is all about to making our first data driven decision. I am the owner of the Us Superstore and I have to create a strategy for increasing our overall sales by 25%. Task Completion Link : https://www.linkedin.com/posts/pankaj-kumar-barman-5a66761a7_datastorytelling-alphaaai-1billion-activity-6748058282059030528-g7nN 📌WEEK THREE :This week, I used Monte Carlo Simulation / Excel Forecasting Functions to create better hypothesis around increasing our sales by 25%. Learn how I can use Simulations and Predictions to understand the future flow of the business and then make changes to our Week 2 Data Story. Task completion Link : https://www.linkedin.com/posts/pankaj-kumar-barman-5a66761a7_alphaaai-week3-fellowship-activity-6758607128166064128-rjve 📌WEEK FOUR : Week 4 was all about how to use data story telling in day to day business emails So that as team member or a team lead I can explain data insides to the team efficiently. Task completion Link : https://www.linkedin.com/posts/pankaj-kumar-barman-5a66761a7_alphaaai-week4-fellowship-activity-6759706445677248512-Zni3 📌WEEK FIVE : This week is super special because now I have to built our final data story to show case what I have learned capturing details from the week 1- 4 and make final data story or a final data driven decision. Task completion Link : https://www.linkedin.com/posts/pankaj-kumar-barman-5a66761a7_informationn-oil-21st-activity-6762450815736262656-UpRg
Supervised Machine Learning: Regression and Classification
DeepLearning.AI
June 25, 2026 – Present
Master Git and Github - Beginner to Expert
Udemy
June 25, 2026 – Present
Deep Learning Prerequisites: The Numpy Stack in Python (V2+)
Udemy: Online Courses
June 25, 2026 – Present
Machine Learning A-Z™: Hands-On Python & R In Data Science
Udemy
June 25, 2026 – Present
Data Science Math Skills
Coursera
June 25, 2026 – Present
Databases and SQL for Data Science
Coursera
June 25, 2026 – Present
Hierarchical Clustering: Customer Segmentation
Coursera
June 25, 2026 – Present
Exploratory Data Analysis with Seaborn
Coursera
June 25, 2026 – Present
Principal Component Analysis with Numpy
Coursera
June 25, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong inclination towards continuous learning and self-improvement through numerous certifications and academic pursuits. The project diversity, ranging from supervised/unsupervised ML to EDA and data storytelling, indicates a broad interest within data science. The target role of Data Analyst aligns well with the skills and projects showcased, particularly the emphasis on data-driven decision making and visualization. However, the experience is primarily academic and internship-based, which might require adaptation to a corporate cultural environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to communicate data insights (data storytelling) and work through structured tasks (weekly project breakdowns). The Social Media Marketing Manager role at EEA, IIT Kanpur, suggests organizational and communication skills, though it's a future role. The overall operational fit for a Data Analyst role appears moderate, with a focus on individual project execution rather than team collaboration or complex operational workflows.