Data Science Student Consultant

• Jul 2022 - Present

Client: Fortune 500 Water Hygiene Company • Transformed and standardized multivariate time series sensor data into Parquet format via Databricks, streamlining the detection of deviations from wash parameter specifications • Developed anomaly detection system with similarity measurement and network methods, enabling the identification of unusual trends and effective monitoring of the washing process for prompt action and correction Client: Leading Education Assessment Service • Conducted clustering analysis and linear regression to uncover patterns and drivers of testing performance disparities • Designed interactive Tableau dashboards for dynamic exploration and visualization of data insights Client: Second Harvest Heartland • Utilized machine learning techniques to forecast donation amounts based on media mentions from the past 2 years, improving operations and logistics planning • Applied linear regression to media data and donation amounts to prioritize resource allocation and identify opportunities to strengthen relationships with critical media outlets Show less

IT Software Development Engineer Intern

• Jul 2021 - Sep 2021

• Implemented unit, integration, and functional tests for JavaScript projects on Azure pipelines • Formulated guidelines on user wiki for referencing usage in YAML files on Azure Pipelines • Developed test analysis tool with Go to get scores from test results and code coverage reports • Supported development of text-based chatbot with Go for the company’s internal messaging app • Implemented unit, integration, and functional tests for JavaScript projects on Azure pipelines • Formulated guidelines on user wiki for referencing usage in YAML files on Azure Pipelines • Developed test analysis tool with Go to get scores from test results and code coverage reports • Supported development of text-based chatbot with Go for the company’s internal messaging app

Data Scientist

• Aug 2020 - Apr 2021

• Boost SQL server performance and speed by 20% with defragmentation and optimization • Improved efficiency of annotation software by 30% and made it more user-friendly with Python • Designed knowledge graphs with Neo4j graph database in e-commerce domain for AI powering • Utilized Power BI to create analytical dashboards depicting critical KPIs for decision-makers • Coordinated testing of NLP model performance with AI scientists • Boost SQL server performance and speed by 20% with defragmentation and optimization • Improved efficiency of annotation software by 30% and made it more user-friendly with Python • Designed knowledge graphs with Neo4j graph database in e-commerce domain for AI powering • Utilized Power BI to create analytical dashboards depicting critical KPIs for decision-makers • Coordinated testing of NLP model performance with AI scientists

Business Developer

• Feb 2020 - Jun 2020

• Synthesized large amounts of data into clear and actionable insights for accurate reporting • Established partnerships with prospective clients and maintained existing client relationships • Facilitated 40% more partnerships using Tableau dashboard to better identify clients’ pain points • Synthesized large amounts of data into clear and actionable insights for accurate reporting • Established partnerships with prospective clients and maintained existing client relationships • Facilitated 40% more partnerships using Tableau dashboard to better identify clients’ pain points

Summer IT Specialist - Business/System Analyst

• Jul 2019 - Aug 2019

• Conducted analysis of online banking system functions and prepared detailed recommendation reports for internal software development team to improve system performance and user experience • Created flow charts to facilitate communication between system designers and clients, leading to a 20% increase in efficiency across multiple units • Conducted analysis of online banking system functions and prepared detailed recommendation reports for internal software development team to improve system performance and user experience • Created flow charts to facilitate communication between system designers and clients, leading to a 20% increase in efficiency across multiple units

Volunteer and Part-time Employee

• Dec 2018 - Jun 2019