Work Experience

Responsibilities include:

• Led weekly discussion sessions and office hours to help students better understand the course materials about mathematics in data science
• Organized course materials on Canvas and Slack to help students know where to find the right resources
• Graded students' exams and provide comprehensive feedback on their work

Responsibilities include:

• Graded students' UI/UX assignments and assisted the professor with the instruction of the course

Responsibilities include:

• Led weekly office hours to help students better understand the course materials about data science
• Organized course materials on Canvas and Wiki to help students know where to find the right resources
• Graded students' in-class exercises, projects and quizzes and provide comprehensive feedback on their work

Responsibilities include:

• Led weekly discussion sessions and office hours to help students better understand the course materials about mathematics in data science
• Organized course materials on Canvas and Slack to help students know where to find the right resources
• Graded students' exams and provide comprehensive feedback on their work

Responsibilities include:

• Led weekly lab sessions and office hours to help students better understand the course materials about data science
• Organized course materials on Canvas, Ed, and git to help students know where to find the right resources
• Graded students' projects and exams and provide comprehensive feedback on their work

Responsibilities include:

• Iteratively prototyped, developed, and automated data insights pipelines for anomaly detection through Microsoft Azure Synapse Analytics and Apache Spark Databricks
• Organized and structured large amounts of data into compelling reports and dashboards using SQL and Tableau
• Prototyped algorithms to promote interactive use cases including intelligent outreach and dynamic personalization

Responsibilities include:

• Graded students' programming assignments through Python and help with subversion, git, canvas, and gradescope to assist the professors with the instruction of the course
• Assisted in lab sessions and answer student’s programming questions to help students better understand the course materials about data science

Responsibilities include:

• Graded students' programming assignments through Python and help with subversion, git, canvas, and gradescope to assist the professors with the instruction of the course
• Assisted in lab sessions and answer student’s programming questions to help students better understand the course materials about data science and Machine Learning

Responsibilities include:

• Extracted 20+ years of raw financial data from 100K+ companies to calculate the financial metrics in each factor of the Fama and French model using SQL and Python
• Identified and prioritized the most relevant metrics across 1000+ industries and sectors using XGBoost and Machine Learning models to ultimately predict stock price performance and risks
• Presented optimization recommendations to minimize the calculation time for financial metrics via Cython

Responsibilities include:

• Analyzed and improved the marketing strategy of SCSB’s credit card to increase its reach, engagement, and sales through Google Analytics and AdWords
• Researched on the performance of startups on OurCrowd (a SCSB-sponsored startup investing platform) to assist the investment team with adjusting the investment plans
• Extracted data from the database to analyze target audience’s engagement with the online bank by Python

Responsibilities include:

• Led trainings for 100+ UChicago Peer Mentors and informed them of their responsibilities
• Provided direct support and direction to the incoming first-years and transfer students by responding to their questions, as they complete various tasks related to their transition to the College and the University of Chicago