Praval M

Data Science Analyst @Webster Bank

CT, US

Extracted and cleaned large datasets from various sources using SQL and Python, improving data quality by 35%.• Conducted statistical analyses and A/B testing to identify key business insights, leading to a 20% increase in conversion rates.• Developed interactive dashboards in Tableau and Power BI to present data insights to stakeholders, enhancing decision-making processes.• Implemented predictive models using scikit-learn and TensorFlow, achieving a 90% accuracy rate in customer churn prediction.• Worked closely with cross-functional teams to define and track KPIs, aligning data analysis with business objectives.• Designed and maintained ETL processes using Apache Airflow, ensuring timely and accurate data ingestion.• Performed complex SQL queries on Big Query for in-depth data analysis, reducing query times by 30%.• Created comprehensive reports in Google Data Studio, providing actionable insights to marketing and sales teams.• Managed data warehousing solutions on Redshift and Snowflake, optimizing storage and retrieval processes.• Automated repetitive data analysis tasks using Python, saving 20 hours per week on manual work.• Created and executed complex SQL queries, performed statistical analysis, and built machine learning models using Snowflake data.• Conducted A/B tests and hypothesis testing to drive data-driven decision-making, leading to a 15% improvement in conversion rates.• Designed and implemented Informatica (ETL) workflows to process hundreds of files at a time and maintain proper queue when dependencies are present.• Collaborated with product teams to analyze customer transaction data, leading to the identification of inefficiencies in the loan approval process and implementation of streamlined workflows, resulting in a 15% decrease in processing time.