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Kartik Lande

Machine Learning Engineer/Data Scientist/Data Analyst

About Me

Currently pursuing my Master's in Information Systems at Santa Clara University, I've had the privilege of gaining experience across different corners of the globe.

During my time at Gilead Sciences, I built a dynamic classification model to boost patient retention. As a Machine Learning Engineer at Quantiphi, I brought automation magic to various domains, from healthcare to manufacturing.

I'm also an AWS Certified Solutions Architect – Associate, passionate about architecting smart and efficient solutions. My work has earned me an Innovation Award and a Think Tank Award from Quantiphi.

Projects

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Accident Severity Identification

This project aims to forecast the severity of road accidents, ranking them from 1 to 4. Leveraging advanced machine learning methods, we examine a variety of factors like weather, location, time, and more. By doing so, we gain valuable insights into the elements that contribute to the seriousness of accidents. This knowledge can then be used to proactively address these factors and enhance road safety.

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VMware Financial Analysis: Uncovering Insights and Growth Opportunities

Thoroughly examined VMware's financial performance for fiscal years 2021-2022, revealing insights on revenue shifts, growth drivers, and strategic recommendations, condensed into a succinct and informative overview.

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Experience

Gilead Sciences

Advanced Analytics Intern

Quantiphi

Machine Learning Engineer

Quantiphi

Machine Learning Engineer Intern

Education

Santa Clara University

September 2022 - Present

Master of Science in Information Systems

University of Pune

July 2016 - May 2020

Bachelors of Science in Computer Engineering

Skills

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