๐ B.Tech in Computer Science Engineering | Parul University
๐ฏ Specialization: SAP ABAP Developer (Industry-Embedded Program)
๐ก Passionate about crafting solutions at the intersection of AI, Data Science, and Enterprise Automation
๐ป Solid foundation in C, Python, and Java
๐ง Strong problem-solving mindset, honed through hundreds of DSA problems and real-world challenges
๐ Constant learner of emerging tools, best practices, and scalable engineering
ML Model for Forecasting Cryptocurrency Prices
A time-series prediction project using LSTM to forecast future Bitcoin prices based on historical data.
Tech Stack: Python, TensorFlow, NumPy, Pandas, Matplotlib, Scikit-Learn
๐ GitHub Repo
Predicting Song Hits Using ML
Trained a regression model to predict the popularity score of songs based on acoustic features from Spotify's dataset.
Tech Stack: Python, Scikit-learn, Pandas, Seaborn, Matplotlib
๐ GitHub Repo
๐ Third-year B.Tech student, actively applying ML & DS in academic and independent projects
๐ง Skilled in algorithms, time complexity, greedy, recursion, DP, and graph-based problem solving
"Code is like humor. When you have to explain it, itโs bad."