Nikhitha G
Financial Data Analyst @MetLife
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WORK HISTORY
Financial Data Analyst @MetLife
TX, US
Developed and maintained a Monte Carlo simulation model in Python to perform Scenario Planning and quantify potential losses for a $500M investment portfolio, leading to a 12% improvement in Risk Assessment accuracy- Automated the annual Budgeting & Forecasting process for 7 key departments by building a new pipeline that leveraged SQL Server stored procedures (PL/SQL) and Python for data aggregation, cutting 40% monthly reporting cycle time (from 5 days to 3 days)- Designed a suite of 5 interactive Power BI dashboards, utilizing DAX for complex calculations, to track and visualize key Financial Reporting (GAAP) and Profitability Analysis metrics, providing real-time performance insights to 15+ senior stakeholders- Re-engineered the data ingestion workflow (ETL Process) for large-scale financial data sources by migrating from a legacy system to a Snowflake utilizing Informatica, resulting in a 25% reduction in data latency for time-sensitive Cash Flow Analysis- Executed sophisticated Variance Analysis on quarterly financial results by identifying 4 major cost drivers with over 10% deviation from the budget, which informed corrective financial strategies that achieved $3.5M in annualized cost savings- Implemented Data Governance protocols using JIRA and Confluence to manage metadata and data quality checks within the financial data ecosystem, reducing reporting errors by 18% and ensuring compliance with IFRS standards- Conducted A/B Testing on 3 proposed portfolio allocation strategies using R for statistical analysis, providing 2 recommendations projected to increase the portfolio’s expected annual return by 90 basis points without exceeding established risk tolerance levels.
EDUCATION
University of North Texas
Master's degree, Advanced Data Analytics
Osmania University
Bachelor's degree, Computer and Information Sciences, General
ABOUT NIKHITHA G
I have worked Financial Data Analyst with 3+ years of experience transforming complex financial data into actionable insights.Proficient in Python, SQL, and data visualization tools like Power BI and Tableau.Skilled in financial modeling, budgeting, forecasting, and variance analysis.Experienced in automating ETL processes and improving reporting efficiency.Strong background in risk assessment and predictive analytics using cloud platforms (AWS, GCP).Proven ability to enhance decision-making and financial performance through data-driven strategies.
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