Statistician with 3+ years in Data Science and Engineering , strong in SQL , Python , Power BI , cloud ( Azure , AWS ) , Databricks , LLM/GenAI , and data modeling . Experience in ETL , ML , and scalable data solutions
Developed smart solutions with LLM/GenAI, built ETL/ELT pipelines, real-time streaming, and ML/AI apps. Used Azure Data Factory, PySpark, SQL, Power BI, Databricks, Git, CI/CD.
Major achievementDeployed LLM and GenAI solutions, created and deployed ETL/ELT pipelines, implemented ML/AI solutions, fine-tuned deep learning and computer vision models.
Used AWS (Redshift, Glue, Athena, DynamoDB, PySpark), built ETL processes, deployed ML models, combined data engineering and analytics expertise.
Major achievementImplemented end-to-end solutions in AWS, designed scalable data pipelines, developed predictive models using PyTorch, TensorFlow, Scikit-learn.
Worked with AWS S3, Lambda, Spark to improve data quality; collaborated with senior engineers to optimize practices for fintech.
Major achievementEnhanced data workflows with AWS S3, Lambda, Apache Spark; optimized data engineering for fintech solutions.