2024

Data Analyst at JerseySTEM

• Built 5+ custom Google AppSheet applications for data collection and data transformation from cloud based HRIS databases like Salesforce to automate manual HR processes, boosting workflow efficiency by 60% and streamlining employee data management • Collaborated with cross-functional teams and business stakeholders using Agile and Scrum methodologies, improving the project completion rate by 15% and leveraged JIRA metrics (e.g., Kanban boards) to boost the team’s productivity • Conducted A/B testing for user interface changes and gap analysis, to optimize user experience and engagement

2023

Graduate Assistant at University of Maryland

• Implemented machine learning algorithms such as Linear Regression, K-means and Neural Networks in Python to optimize financial portfolio analysis, achieving 81% accuracy and enhancing the research team’s decision-making process into financial markets • Utilized Power BI for tracking KPIs and generating reports to identify correlations and patterns in trading behaviors • Engineered ETL pipelines and workflows using Apache Airflow to filter and aggregate 1.5 million transactional data points, enhancing data integrity and empowering the development of robust, scalable predictive models for financial data analysis • Deployed Natural Language Processing (NLP) models BERT and RoBERTa to analyze over 3500 financial documents, cutting time to insights by more than 300 hours and supporting strate

2021

Data Scientist at Verzeo Edutech

• Developed a program to predict real estate prices using machine learning algorithms like Linear Regression, XG Boost and Support Vector Regression, resulting in 20% cost savings for the client and accelerating data driven decision-making • Created 5+ interactive Tableau dashboards to translate business insights into actionable strategies and enhance client satisfaction • Designed the client’s relational database management system (RDBMS) in MS SQL Server using ERD diagrams, relational schemas and advanced SQL queries to optimize the data extraction processes, reducing 70% manual data entry and data management time

2020

Data Analyst at Technocrafts Switchgears

• Applied statistical data analysis techniques (regression analysis, ANOVA) for process optimization to boost production line efficiency by 15%, aligning with key performance indicators like lead time management and capacity control, while maintaining quality standards • Utilized advanced Excel functions (Pivot Tables, VLOOKUP) to aggregate vendor quotations, providing decision support on strategic procurement planning, leading to an 8% revenue optimization through cost-savings and supplier risk mitigation • Developed Power BI dashboards to introduce continuous improvement strategies in vendor management and vendor assessment