Skills & Tools

  • Languages: Python, SQL, C++, Java, Bash, HTML/CSS, Cadence SKILL
  • Frameworks/Libraries: TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, Prophet, OpenCV, PySpark, SHAP, LIME
  • Tools/Platforms: AWS, Docker, Streamlit, FastAPI, Git, GitHub, Jupyter, Google Colab, VS Code, Cadence Virtuoso, Ab Initio, Kafka, MongoDB
  • Concepts: NLP, CNN, RNN (LSTM/GRU), GenAI, Time Series Forecasting, Anomaly Detection, Predictive Maintenance, GPR, Model Interpretability, Feature Engineering, Data Analytics, Digital Electronics & Semiconductor Design, Data Structures & Algorithms, DBMS
Stock Price Forecasting with LSTM and Prophet

Stock Price Forecasting

Developed a time series forecasting pipeline for stock/crypto prices using Prophet and LSTM. Achieved RMSE of 2.3 on AAPL test data and deployed via Streamlit with interactive dashboards.

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Breast Cancer Detection CNN Project

Breast Cancer Prediction

Built a CNN model for medical image classification to detect cancerous vs. non-cancerous cells with 96% accuracy. Enhanced interpretability using Grad-CAM visualizations.

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Movie Recommender System Project

Movie Recommendation System

Implemented a content-based movie recommender using cosine similarity on vectorized features. Integrated with FastAPI for scalable deployment.

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File Sharing App ByteBridge Project

File Sharing App (ByteBridge)

Developed a full-stack file-sharing application (MERN stack) with secure uploads to MongoDB Atlas and automatic generation of shareable links.

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Certifications & Achievements

  • AI/ML for Geodata Analysis – ISRO
  • Qualified GATE – 2022 & 2023
  • GPR for Machine Learning – Udemy
  • Research Paper: “Enhancing ESD Compact Modeling with Gaussian Process Regression (GPR)” – Published at ICEMSMCI 2024