I am a data analyst with experience in data analysis, time-series modeling, and predictive analytics using Python and machine learning. I enjoy working with real-world datasets, building forecasting models, and contributing to impactful technical projects.
I am actively seeking Data Analyst / Data Scientist opportunities.
- Data analysis and exploratory data analysis (EDA)
- Time-series forecasting and trend analysis
- Predictive modeling using machine learning
- Performance evaluation and benchmarking
- Open-source and scientific computing contributions
- Python (Pandas, NumPy, Matplotlib)
- SQL
- Machine Learning (LSTM, GRU, ARIMA)
- Data visualization and statistical analysis
- C++ (scientific computing)
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Urban Traffic Time-Series Forecasting
Spatiotemporal analysis and prediction of traffic speed, inflow, and demand using transformer-based and machine learning models. -
Transformer Oil Partial Discharge Prediction
Time-series analysis for infrastructure fault prediction using ARIMA, LSTM, and HMM models to support preventive maintenance decisions. -
Stock Market Prediction
Predictive modeling and trend analysis using Bi-LSTM and GRU architectures.
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MOLE Scientific Computing Library (SDSU)
Contributed a new example by implementing a 2D Schrödinger equation solver in C++, including:- Numerical solution of the 2D Schrödinger equation
- Efficient and modular integration within the existing MOLE framework
🔗 Contribution: https://lnkd.in/dBdtpyPH
- LinkedIn: www.linkedin.com/in/surinder-singh-chhabra
- Email: surinder.chhabra0000@gmail.com