Data Scientist
Current- Exploratory Data Analysis (EDA) of time series data, financial data, and visualization in an informative way using libraries, including Pandas, Polar, NumPy, Scikit-learn, Statsmodels, Gensim, TensorFlow, PyTorch.
- Implemented a comprehensive feature selection & engineering strategy that reduced model training time by 30% while boosting performance metrics; established a systematic approach to assess and prioritize data relevance.
- Implemented a comprehensive feature selection & engineering strategy that reduced model training time by 30% while boosting performance metrics; established a systematic approach to assess and prioritize data relevance.
- Developed and deployed machine learning models for anomaly detection in historical and real-time sensor data using Isolation Forest, Autoencoder, & LSTM, resulting in an 80% improvement in anomaly detection accuracy.
- Developed and optimized forecasting model using techniques like Facebook Prophet, ARIMA, SARIMA, and Holt-Winters for accurate predictions.
- Developed predictive models for various customer business scenarios, such as machine parts maintenance, using LSTM, Decision Trees, XGBoost & Deep Learning models. These models proactively reduce scheduled maintenance.
Mar 2021 - Present
