Headline

CSE Graduate | AI Product & Analytics | Machine Learning | Predictive Analytics | Data Science

About

I am a highly motivated Computer Science graduate, specializing in Data Science. Passionate about solving real-world problems through data-driven insights, I am actively honing my skills in programming, algorithms and data analysis.With a solid grasp of C++, SQL, Data Structure and Algorithms, OOP and DBMS. I have expanded my expertise to Machine Learning, Data Science and Analytics. Technical Skills: Programming Languages: C++, Python Database Management: SQL Data Analytics: Data Cleaning, Data Preprocessing, Data Visualization, EDA Machine Learning Fundamentals- Supervised, Unsupervised Learning, Deep Learning(ANN, RNN, LSTM , CNN) Frameworks- Tensorflow, Pytorch, Keras, Scikit-learn Core Concepts: Data Structures & Algorithms, DBMS, OOP. I aim to leverage my skills in data science and software development to contribute to innovative and impactful projects in leading organizations. My goal is to use data and technology to solve real-world problems and drive meaningful change.

Location

Greater Delhi Area

AI stack

claude code

deepseek

gemini

github copilot

openai

railway

Work experience

AI/ML intern at Edulyt India, May 2025 - Jul 2025 · 3 mos, New Delhi, Delhi, India, 1) Led the Credit Banking Analytics Project to process and analyze customer banking behavior using Python and EDA techniques. Identified overspending patterns, calculated interest-based profits, and segmented customers by age and profession. Developed and visualized monthly profit trends to support data-driven decision-making for targeted financial strategies. 2) Conducted an E-commerce Customer & Sales Behavior Analysis by cleaning and analyzing transaction data. Uncovered patterns in product sales, return behavior, and discount impacts; segmented users by age and gender. Visualized key metrics like order timings, discount bins, and purchase value classification (high vs. low) using Pandas and Seaborn. 3) Integrated and analyzed multi-source banking data to evaluate regional credit patterns and customer behavior. Performed in-depth EDA on card issuance, loan distribution in high-crime regions, and repayment performance across age groups. Assessed financial risks based on unemployment, crime rates, and salary trends; built dashboards for insights into insurance, loan, and household spending to guide risk-based policy recommendations.

ML Intern at Feynn Labs, May 2025 - Jul 2025 · 3 mos, Remote, Worked on Electric Vehicle (EV) market data to extract actionable business insights. Performed market segmentation analysis using KMeans clustering and Principal Component Analysis (PCA) to identify consumer behavior patterns and regional clusters across the Indian EV landscape. This enabled the team to understand demographic preferences and regional trends for two-wheeler and four-wheeler EV adoption.Built end-to-end workflows for data preprocessing, clustering, dimensionality reduction, and sentiment scoring using Python, Pandas, Scikit-learn, and visualization tools to present findings to internal stakeholders.

Education

Bachelor of Technology - BTech, Computer Science and Engineering, amity University