Hello I'm
Yash Gupta
Full Stack Developer & Machine Learning Enthusiast
Hello I'm
Full Stack Developer & Machine Learning Enthusiast
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Machine Learning, Data Analysis,
Full Stack Development, Web Development
Pursuing BS in Computer Science &
Data Science @ UW Madison
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June 2024 - August 2024
Working on time series models for the SVE Post Silicon Team.
June 2023 - October 2023
- Collaborated with client services team to utilize Linkedin Sales
Navigator to automate finding advisors, sourcing
hundreds of new advisors
- Worked with Linkedin APIs to automate scraping profile
information and implemented Python algorithms to filter JSON and
spreadsheets for relevant fields
- Created sequential large language models with GPT-4 using
LangChain in Python for multi-stage process to generate effective
and personalized messages to enable more connections with
potential advisors, resulting in
significantly higher response rates
- Automated reengagement email outreach campaigns using SendGrid
API and Python, leading to an increase in re engagement rates
Skills: Python (JSON Processing), LLMs (LangChain, GPT-4), REST APIs
July 2023 - September 2023
- Working on scraping and analyzing real estate data to find
discrimination in housing listings
- Utilized API calls and Selenium in Python to analyze and collect
information on thousands of listings in large
real estate aggregator sites such as Zillow
Skills: Python, Web Scraping (Selenium)
June 2020 - March 2023
- Worked on creating efficient and secure medical data transfer
through Ethereum blockchain
- Headed development on user interface for medical data using Java
and HTML5/CSS3
- Utilized Solidity and managed AWS virtual machines to work on
the backend of the blockchain
- Implemented in 12 university hospitals with high success rates
- Co-author on
publication
in Journal of American Medical Informatics Association (JAMIA);
presented work to National Institute of Health officials at local
conference
Skills: Java, HTML/CSS, AWS, Blockchain (Smart Contracts, Solidity, Ethereum)
August 2021 - August 2022
- Created efficient data preprocessing and filtering algorithms to
process tens of thousands of clinical patient data points live
from Stanford’s hospital
- Heading development on machine learning model to use clinical
event data to predict if a patient has hepatic encephalopathy
Skills: ScikitLearn, Plotting (Matplotlib, Seaborn), Data Analysis (Pandas, Python)
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