A Principal Data Scientist/Manager with nearly a decade of experience in exploring, analyzing, and researching financial, real-estate, and user behaviour data to procure insights, prescribe recommendations, build models, design experiments and deploy scalable machine learning applications. ML Competencies: Data Cleaning, Data Wrangling, Data Exploration, Data Analysis, Data Validation, Feature Extraction, Experiment Design, Feature Engineering, Feature Selection, Hypothesis Testing, Model Building - Regression, Classification, Clustering, Recommendation Engines, Model Performance Tuning, Model Evaluation, Visualization and Reporting Deep Learning Competencies: Vision-based: Image Classification, Image Regression, Image Segmentation, Image Ranking, Image Similarity, Image Recommendation, Image Style Transfer, Image Enhancement NLP- based: Text Classification, Text Representations, Named Entity Recognition, Text Description Mining ML Engineering Expertise: Big Data ETL Pipelines, ML/DL Inference Pipeline Design & Development, Feature Store Design, Feature Extraction & Transformation Pipeline Design, Model Packaging & API Development, Serverless ML API Development Project Management Competencies: ML Project Planning, Estimation, Demand Forecasting, Resource Allocation, SDLC & Agile ML Strategies, Use Case Design Skill Stack: ML Skills: Random Forest, Linear/Logistic Regression, Gradient Boosting Trees, Approximate Nearest Neighbors, Support Vector Machines, PCA, K-means Clustering Deep Learning Skills: CNN, RNN, LSTM, Hyperparameter Optimization, Learning Rate Scheduling, Loss Function Exploration, and Tuning Engineering Skills: • Big Data - Spark, Hadoop • AWS Cloud - EC2, S3, EMR, Athena, Lambda • Deployment - SageMaker, Lambda Serverless, Restful API - Flask, ECS + API Gateway • ETL - Glue, Spark, SQL Tools and Tech: Python, R, MS SQL, MySQL, PyTorch, Tensorflow, Keras, Flask, FastAI, Jupyter/Anaconda, Excel, Tableau