Snehitha Pothina

I am a results-driven Data Scientist and Machine Learning Engineer with over five years of hands-on experience designing, developing, and deploying advanced analytics solutions across finance, technology, healthcare, and emerging sectors like clean energy and social analytics. My professional journey has equipped me with a deep technical skillset and a strategic, business-oriented mindset that allows me to translate complex data challenges into impactful, actionable solutions for diverse organizations.

My core technical expertise includes Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow), SQL (PostgreSQL, MySQL, SQL Server, Oracle, Redshift), data engineering (ETL, Airflow, Spark, Hadoop), and cloud computing (AWS, Azure). I am highly experienced in predictive modeling, time series forecasting, deep learning (including LLMs, NLP, and multimodal models), as well as building scalable data pipelines and MLOps workflows to bring models seamlessly into production environments.