B.Tech Student
B.Tech student in the 2027 batch with a foundation in Python, SQL, data analysis, and machine learning. Experienced with data preprocessing, exploratory data analysis, visualization, and data-driven solutions.
Bachelor of Technology (B.Tech)
2027
CGPA: 7.74/10; awarded fee waiver based on JEE Main score
Bachelor of Technology
2023 - 2027
Intermediate(12th)
2020 - 2021
High School Diploma
2018 - 2019
NLP preprocessing with tokenization, stopword removal, and sentence cleanup; extractive news summarization; sentiment analysis with polarity, confidence, and evidence words; named entity extraction for people, organizations, locations, dates, money, and percentages; question answering using prompt-style retrieval over article sentences.
Built a machine learning model to predict California housing prices using demographic and housing datasets. Performed data preprocessing, feature engineering, and exploratory data analysis. Trained and evaluated regression models using Scikit-learn with RMSE and R2 metrics. Visualized trends and model performance using Matplotlib and Seaborn.
Created a full database schema for an e-commerce platform with sample data generation scripts for customers, orders, products, payments, shipping, reviews, and inventory. Developed SQL analyses for revenue, customer behavior, seller performance, product insights, and delivery metrics.
Analyzed more than 50,000 customer records using Python and Pandas to understand ordering behavior. Cleaned, transformed, and organized raw data, and identified customer retention and marketing trends through exploratory data analysis.