About Me
Hi, I'm Yash, I like making sense out of data to communicate meaningful and actionable insights to solve a challenge. The way I do that is a thorough understanding of business requirements, asking "what, how, and why" questions, performing exploratory analysis, building predictive models, and presenting visually pleasing and insightful answers that are comprehensible to everyone! Making sense requires me to constantly study, understand and apply the languages, databases, and tools that are needed to give the best results. Throughout my experience, I have demonstrated my expertise in data analysis, data visualization, and machine learning. As a Research Assistant at Syracuse University, I played a key role in developing an ETL pipeline to collect and analyze millions of tweets, providing valuable insights into changes in people's beliefs. My collaboration with fellow researchers involved providing statistical and visual insights through Tableau dashboards and the NLTK library, supporting efforts to alleviate the struggles of female refugees and children. During my tenure as a Data Science Intern at RSG Media, I developed a high-accuracy Matching Pipeline to unify data from multiple movie tables, resulting in a comprehensive database. Leveraging tools such as Databricks and PySpark, I engineered an efficient pipeline for transforming and loading massive amounts of metadata. I also automated processes by restructuring workflows and converting SQL queries to PySpark format, enabling seamless integration with machine learning models. As a Data Analyst Intern at Syvylyze Analytics, I successfully profiled store information using Python and Google Maps API, gathering additional metadata crucial for analyzing retail performance. Working closely with cross-functional teams, I enhanced the retail store Data Master and effectively communicated data reporting to non-technical stakeholders.
Contact Details
Yash Shimpi
315-603-8308
yshimpi@syr.edu
