


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 Scientist by passion and by profession!
MY WORK
![]() Data Warehousing: Store Analysis | ![]() Product Management: Prime Video |
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![]() People Analytics: Empowering X | ![]() Healthcare Analytics |
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.
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: Python, Tableau, Research, Data Analysis, Interviewing, Project Management, Agile Methodologies
● Engineered a Python-based system to automatically parse DEI reports from various companies and leveraged Tableau for visualizing DEI metrics, optimizing data integration efficiency by 38%.
● 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.
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.
