Experienced data scientist proficient in Python, PySpark, SQL, and NoSQL, skilled in using machine learning, deep learning, and statistical analysis to develop data-driven solutions. Built end-to-end pipelines that included data acquisition, preprocessing, model training and fine-tuning, prediction generation, and visualization to enable impactful business outcomes. Possesses strong communication skills for collaborating with cross-functional teams and conveying technical concepts to non-technical stakeholders. Seeking a challenging data scientist position to contribute skills and drive business success. Skills: - Programming: Python (scikit-learn, numpy, pandas, scipy, matplotlib, jupyter, plotly), SQL (PostgreSQL) - Machine Learning: A/B Testing, Regression, Classification, Tree-Based, Boosting, Time Series Forecast, Deep Learning, Feature Selection, Neural Networks (pytorch, tensorflow), Computer Vision, Optimization, skimage - Distributed Computing: MongoDB, Apache Spark, Airflow, MLLib, Pyspark, Google Cloud, Google Big Query, Databricks, AWS, Azure, ETL Pipeline, Data Engineering, Slurm Scripts, Schedulers using HPC - Cloud ML: MLFlow, Kubernetes, Docker, Metaflow, DVC, PowerBI, Tableau, Sagemaker - NLP: NLTK, Spacy, Transformers, Bert, LLMs, Generative AI, Prompt Engineering