About
Work
Geeks of Gurukul
|Data Scientist and Professor
Highlights
Mentored projects — from data cleaning to deployment using real-world datasets and industry practices.
Designed and led project-based learning modules, including Movie Recommendation System, Financial Fraud Detection, and Sentiment Analysis, to enhance the hands-on experience and project portfolios.
Delivered 150+ training sessions on Python, Data Science and Machine Learning, mentoring 200+ students.
Built Random Forest model with 78% accuracy to predict student performance and support early interventions.
Stembridge Labs
|Data Science Intern
Highlights
Identified key purchasing patterns and trends in customer behavior by analyzing a year of transaction data, driving insights for targeted marketing and sales strategies.
Developed XGBoost model to forecast purchase behavior with 85% accuracy, improving sales conversion rates.
Provided actionable dashboards and visual reports to business stakeholders using Python and PowerBI.
Education
Indian Institute of Technology Hyderabad
→
Master of Science
Physics
Grade: 8.4
Courses
Secured AIR 405 in JAM conducted by IIT Roorkee in 2022.
Placement Coordinator
Clean India Drive Volunteer
Gargi College, University of Delhi
→
Bachelor of Science
PCM
Grade: 8.7
Courses
First Division with distinction in Bachelor of Science.
Enactus Member
NSS Volunteer
Class Representative
Skills
Programming Languages
Python, SQL.
CS Fundamentals
Data Structures & Algorithms, Computer Networks, Operating Systems, DBMS.
Machine Learning
Numpy, Pandas, Sklearn, Matplotlib, Seaborn, PyTorch, Tensorflow, Streamlit.
Data Science
Data cleaning, visualizing, modelling, hyperparameter tuning, hypothesis testing.
Tech-stack
LaTex, Github, Microsoft Office, Overleaf, VSCode, Pycharm, Jupyter, Google Colab.