Zeeshan Desai
Quantitative Strategist
Salt Lake City, Utah, United States
Summary
👤
Senior🎓
Top SchoolZeeshan Desai is a results-driven quantitative strategist and software engineer with nine years of experience building data-driven systems and BI integrations at Goldman Sachs. He blends backend engineering (Java, C++) and data science (Python, R, ML, NLP) to deliver end-to-end solutions—from microservices and OAuth-enabled Snowflake integrations to data lake migrations and BI portal enhancements. Zeeshan has hands-on experience in production ML tooling and contributed time-series plotting improvements to the popular PyCaret library, showing a commitment to open-source robustness. Comfortable across cloud and big-data stacks, he has delivered analytics and visualization pipelines using AWS, SageMaker, and QuickSight for healthcare and product feedback use cases. Based in Salt Lake City, he pairs strong engineering discipline with a knack for turning noisy datasets into actionable insights, and outside work he practices Brazilian Jiu Jitsu to sharpen focus and resilience.
9 years of coding experience
4 years of employment as a software developer
Master's degree Business analytics, Master's degree Business analytics at Naveen Jindal School of Management, UT DallasBachelor of Technology - BTech Engineering, Bachelor of Technology - BTech Engineering at Manipal Institute of Technology
Github Skills (7)
machine-learning10
time-series10
pycaret10
python10
enums10
data-science9
ml9
Programming languages (2)
Github contributions (5)
pycaret/pycaret
Jun 2022 - Jun 2022
An open-source, low-code machine learning library in Python
Role in this project:
ML Engineer
ML EngineerContributions:7 commits, 1 PR, 3 comments in 11 days
Contributions summary:Zeeshan contributed to the PyCaret library by implementing and refining time series analysis functionalities. Their work involved defining and integrating an enum for allowed plot data types, ensuring that the library correctly handles user input for plot data types, and merging updates from the develop branch. The contributions focused on improving the time series plotting utilities within the library and ensuring its robustness.
pythonpycarettime-seriesclassificationdata-science
desaizeeshan22/Leetcode_problems
Dec 2021 - Dec 2022
Contributions:321 commits, 293 pushes, 1 branch in 1 year 1 month
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