Research Scientist/ML Engineer with research and industry experience in leading projects that apply Machine Learning tools to tackle difficult problems. Highly enthusiastic about applying my knowledge to proffer solutions to problems in new, challenging, or unfamiliar terrains. Experience in Optimization, Natural Language Processing, Anomaly Detection, Time series, Quantitative Research, Recommender Systems and Computer Vision.
I may be slow to respond.
Highlights
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Transformer-Models-For-Power-Outage-Analysis
Transformer-Models-For-Power-Outage-Analysis PublicUsing LLMs such as BERT and GPT2 with variable fine-tuning for power outage detection
Jupyter Notebook
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Deep-Learning-Time-Series-Forecasting
Deep-Learning-Time-Series-Forecasting PublicDeep Learning Time Series Forecasting with Neural Network
Jupyter Notebook
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Machine-Learning-Operations-and-Engineering
Machine-Learning-Operations-and-Engineering PublicSimulation of MLOPS Architecture for a Supervised ML Problem
Jupyter Notebook
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Machine-Learning-for-Sentiment-Analysis
Machine-Learning-for-Sentiment-Analysis PublicMachine Learning and Natural Language Processing for Sentiment Analysis
Jupyter Notebook 1
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Machine-Learning-Multiclass-Classification
Machine-Learning-Multiclass-Classification PublicMachine Learning for Multiclass Classification
Jupyter Notebook
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A-Comprehensive-Classification-Model-for-Predicting-Wildfires-with-Uncertainty
A-Comprehensive-Classification-Model-for-Predicting-Wildfires-with-Uncertainty PublicMachine Learning Classification for Predicting Wildfire
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