A seasoned data science professional with 9+ years of experience in Data Sciences and ML. Focused on building end to end statistical, machine learning / deep learning models and product development to help businesses disambiguate complex problems, make data driven and informed decisions.My responsibilities include developing and overseeing the full machine learning product lifecycle - collaborating with business partners / product managers to understand the business pain points, data extraction, algorithm development and experimentation, model deployment and maintenance, monitoring key metrics, ensuring compliance.Major Technical Skills: Solving Ambiguity, Googling, PromptingOther Tech Skills: Python, PySpark, AWS - Sagemaker, ECR, Docker, EMR, Redshift, R, Shell Scripting, R Shiny, Base SAS, SAS/SQL, QuicksightAlgorithms Used: Statistical Inference, Design of Experiments, Vision Transformers, Multi Criteria Decision Analysis, Causal Inference, Sampling techniques, Linear and Logistic Regression, Tree based Modelling Techniques (RF, XGboost, LightGBM), Recommendation systems (Using Similarity Methods and Word2Vec), Survival Models, Supervised Techniques for NLP (Labeled - LDA, Naïve Bayes, Word2Vec, XGBoost, MLP, CNN), Forecasting Models (ARIMAX, ETS, TBATS, Prophet, LSTM and XGBoost).Domain Interest: Retail - Marketing, Supply Chain - Transportation and Logistics, Reliability Engineering - Manufacturing and Automotive.