Nikhitha M.
Senior Data Analyst
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Nikhitha M. is a skilled Data Analyst with over 5 years of experience focusing on analytics, automation, and predictive modeling solutions in the finance and healthcare sectors. She excels in tools such as SQL, Python, Power BI, Tableau, and AWS. At Chubb, as a Senior Data Analyst, she successfully leveraged Adobe Analytics to enhance customer engagement and increased policy conversion rates by 20%. She implemented interactive dashboards via Tableau and Power BI, empowering underwriting and risk teams with data-driven decision-making capabilities. Nikhitha also developed cloud-based ETL pipelines on AWS and Azure and improved reporting efficiency by 30% through advanced data analysis and statistical modeling using Python and R. Her previous role at Abbott involved developing Power BI dashboards for monitoring product performance, automating data-quality checks to reduce QA efforts, and implementing cloud ETL pipelines for real-time healthcare insights. Nikhitha's ability to translate complex data into actionable insights has significantly impacted business strategy and operations.
Experience
Senior Data Analyst
Chubb · 2024 — PresentUtilized Adobe Analytics to assess digital customer engagement across web and mobile channels. Created interactive dashboards with Tableau and Power BI to monitor underwriting performance and operational KPIs. Performed advanced data analysis and statistical modeling using Python and R on large insurance datasets. Built cloud-based ETL and analytics pipelines on AWS and Azure for enterprise reporting. Implemented A/B testing and predictive modeling to enhance workflows and customer retention. Developed optimized data pipelines with dbt and Snowflake. Collaborated with risk and compliance teams to maintain data governance.Data Analyst
Abbott · 2019 — 2023Created Power BI dashboards leveraging advanced DAX and SQL to track product performance and outcomes. Automated data quality checks with Python, SQL, and dbt to minimize errors. Developed ETL pipelines for healthcare datasets using AWS and Snowflake, which enhanced the speed of insights. Built interactive dashboards utilizing Tableau and Power BI while conducting statistical analysis to identify inefficiencies. Executed A/B testing on pricing strategies, yielding improved conversion rates. Standardized datasets across SQL and NoSQL databases, enhancing accuracy. Reduced discrepancies through automated data validation audits with Excel VBA and Python.
Skills & Expertise
Education
- Master of Science in Information SystemsAuburn University at Montgomery · 2023 — 2024