


Hi! I'm
Ketki Godse and I look for the deeper meaning of things!
I can read between the lines, see what meets the eye and show you what does not!
I'm a Data Analyst by passion and by profession!
MY WORK
EXPERIENCE
Jul 2024 - Sep 2024
Elile AI
Data Scientist Intern
Tools: Python, Databricks, Apache Spark, T-SQL, XGBoost, Random Forest, LSTM
● Developed and deployed AI production models to predict inverter heatsink temperatures with 95% accuracy, reducing the likelihood of equipment failures and minimizing unexpected breakdowns by 15%, leading to increased operational reliability.
Feb 2025 - Oct 2025
Ernst & Young
Technology Risk Consultant
Tools: Python, SQL, GitHub, Snowflake
● Conducted subscription revenue, discount, and sales tax analysis for the client to identify anomalies, performed reconciliation between various data systems and ensured no material weakness or huge variances (~500K) were present in reported financial data.
● Tested 25+ access, change management, and backup recovery controls for client’s applications, analyzed control evidence and data logs to identify security gaps and enhance SOX compliance.
● Assessed 10+ automated data jobs and system interfaces by reviewing Python and SQL code, to validate configurations, monitor job failures, and verify whether access and change management procedures are followed.
Jul 2021 - Apr 2022
J.P. Morgan Chase & Co.
Financial Analyst II
Tools: PitchBook, Salesforce, Qlikview, Advanced Excel, Bloomberg
● Utilized PitchBook and Salesforce to gather and analyze private financial data, including revenue for PE and VC firms, and designed QlikView dashboards to visually represent KPIs, streamlining client data analysis and reporting.
● Applied advanced Excel techniques, including pivot tables, VLOOKUP, and nested formulas, to analyze large datasets, resulting in insights that drove a 10% increase in treasury project inflow and a 7% boost in banking project engagement.
Jun 2023 - Jun 2024
University of Washington
Data Scientist
Tools: Python, Jupyter Notebook, Azure DevOps, T-SQL, Power BI, Azure Data Studio, LSTM, Prophet
● Designed and deployed AI models to predict net sales of dining facilities with 90% accuracy, thus assisting the finance team in budget forecasting, reducing overspending, and increasing profit margins by 5%.
● Optimized staffing schedules and inventory management, reducing ingredient wastage by 10% and improving operational efficiency, which led to increased profitability.
Oct 2023 - Jun 2024
Included.ai
Data Analyst (Capstone)
Tools: Research, Data Analysis, Interviewing, Project Management, Agile Methodologies
● Led user research by interviewing diversity leaders and over 50 individuals from various ethnographic groups, analyzing SEC Regulations and ISO Standards to drive DEI reporting improvements.

