Ayush Sharma — Portfolio

Who I Am

@ LPU

GitHub LinkedIn Email Call

200+

Problems

5★

HackerRank

7.5

CGPA

I turn data into
decisions & curiosity
into code.

I'm Ayush Sharma — a CSE student majoring in Data Science at Lovely Professional University. My work lives at the intersection of analytics, machine learning, and software. I've built Power BI dashboards, trained regression models, and shipped a Java arcade game — all from scratch.

I believe good engineering is equal parts logic and creativity. Whether I'm crafting a DAX formula or designing an ML pipeline, I bring the same obsessive attention to detail. Outside code, you'll find me buried in a novel, chasing rabbit holes in history and literature, or just exploring something entirely new.

What I love beyond code

📚 Reading Books 🌍 History & Geography 📖 Novels ✍️ Literature 🔭 Exploring Ideas 💡 Problem Solving

Tech I work with

Python C++ Java Power BI Pandas Scikit-learn NumPy Jupyter Git

Projects

Hover cards to flip & explore

📊

L.A. Urban Crime Patterns Dashboard

Jan 2025 – May 2025

Interactive analytical dashboard tracking crime patterns across L.A. with KPI cards, heat maps, and trend lines.

Power BIDAXPower Query🗺️ Geospatial

↻

Data Analytics

L.A. Urban Crime Patterns Dashboard

Built ETL pipelines via Power Query to clean and transform raw LAPD crime data. Engineered complex DAX measures for YoY trend analysis, crime-type breakdowns, and victim demographics. Designed geospatial heat maps to visualise hotspot distribution across 21 L.A. districts.

Power BIDAXPower QueryETL

🤖

Python Data Analysis & Prediction

Jan 2025 – May 2025

Regression solution for metric forecasting using Scikit-learn with feature transformations for improved predictive precision.

PythonPandasScikit-learnSeaborn

↻

Machine Learning

Python Data Analysis & Prediction

End-to-end regression pipeline: data cleaning with Pandas, EDA visualisations using Matplotlib & Seaborn, feature engineering with log transforms and one-hot encoding, model training with Linear & Ridge Regression, and performance evaluation via RMSE and R² metrics.

PythonScikit-learnPandasMatplotlib

🎮

Java Arcade Game — Flappy Bird Clone

Jun 2025 – Jul 2025

Animated arcade environment with scrolling obstacles, collision detection, velocity updates, and trigger-driven motion sequences.

JavaSwingAWT🔷 OOP

↻

Game Development

Java Arcade — Flappy Bird Clone

Built a fully playable arcade game in pure Java using Swing & AWT. Implemented a custom game loop with delta-time velocity, multi-layer scrolling parallax background, AABB collision detection, animated sprite sheets, and a persistent high-score system using file I/O.

JavaSwing/AWTOOPGame Loop

Achievements

⭐ 5-Star HackerRank Badges

Achieved top ratings in SQL, C++, and Data Structures on HackerRank — a reflection of consistent, high-quality problem-solving across core computer science domains.

🏅 HackerRank

⭐

🏆

🏆 LeetCode Top Badges

Earned multiple top-tier achievement badges on LeetCode through sustained competitive programming effort — spanning arrays, graphs, DP, and more.

💻 LeetCode

💡 200+ Problems Solved

Solved 200+ coding challenges across LeetCode, HackerRank, and CodeChef — covering DSA, algorithms, SQL and system-level problem sets.

🌐 Multi-Platform

💡