Professional Summary

Data Analytics enthusiast and B.Tech CSCE student at KIIT University (3rd year) with hands-on experience building end-to-end data pipelines, interactive dashboards, and ML models. Proficient in Python, SQL, and Streamlit with multiple deployed projects including a full-scale IPL Analytics platform covering 260,000+ data points. Currently seeking internship and full-time opportunities in Data Analytics, Machine Learning, and Software Development.

Featured Projects

IPL Cricket Analytics Dashboard & Match Predictor
Python, Pandas, SQLite, Scikit-learn, Plotly, Streamlit
  • Built an end-to-end analytics platform on 260,920 rows of IPL data (2008–2024) across 1,095 matches and 17 seasons.
  • Designed a SQLite database with 15+ SQL queries for insights on team performance, top scorers, wicket takers, and toss trends.
  • Implemented a Random Forest ML model to predict match winners using toss, venue, and team features.
  • Built an interactive Streamlit dashboard with season filters, KPI cards, and 6 dynamic Plotly visualizations.
E-commerce Sales Analytics Dashboard
Python, Pandas, Streamlit, Plotly
  • Developed an interactive KPI dashboard analyzing revenue trends, profit margins, and customer segmentation for e-commerce sales.
  • Implemented dynamic date-range filtering and sales forecasting via regression.
  • Deployed on Streamlit Cloud with real-time filtering for a responsive user experience.
Password Security Analyzer
Python, Regex, Streamlit
  • Built a password strength scoring tool using entropy calculation and regex-based pattern analysis.
  • Detected weak and commonly used passwords with secure password generator features.
  • Deployed as a web app on Streamlit with configurable complexity rules.

Achievements & Highlights

  • Special Mention – Pandora's Paradox Hackathon, KIIT E-CELL Emerald Empire E-Summit 2024.
  • Built Spendora, an AI-powered finance coach web app, as part of Team ParaX.
  • 3 independently deployed data science projects with live public URLs.

Skill Categories

Languages
Python, SQL, Java, C
Data Analysis
Pandas, NumPy, Matplotlib, Plotly, EDA, Data Cleaning, KPI Analysis
Machine Learning
Scikit-Learn, Random Forest, Classification, Feature Engineering, Label Encoding
Databases
SQLite, MySQL, SQL Querying, Joins, Aggregations
Tools & Frameworks
Jupyter Notebook, Git, GitHub, VS Code, Streamlit, Flask
Soft Skills
Analytical Thinking, Problem Solving, Team Collaboration, Logical Reasoning