Education
September 2019 - June 2023
Lawrence University | Bachelor’s Degree
Major: Econometrics & Quantitative Economics | Minor: Data Science, Mathematics
Current GPA : 3.8 / 4.0
Graduated : June 2023
Location : Appleton, Wisconsin, USA
Major Achievements:
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1st Prize in LaunchLU (Biggest Business Pitch Competition at Lawrence University)
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Received 2021-2022 Philip and Rosemary Wiley Bradley Achievement Scholarship in Economics
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Nominated for Henry Merritt Wriston Scholars Program and the Edwin N. and Ruth Z. West Scholarship
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Dean's List distinction (All 4 Years) at Lawrence University
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Jiggy Lang and Scotty Jenks Scholarship awarded by Gamma Pi Chapter of Beta Theta Phi
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Completed Harvard CORE Program from Harvard School of Business
Work Experience (Career-Oriented)
October 2022 - Present
Data Analyst | U.S. Venture, Inc
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Custom Model Serving through API: Developed an API using Databricks Model Serving to optimize customer onboarding automating route, stop, and business classification assignments based on geolocation data. This innovation reduced onboarding time from 3 minutes to 7 seconds per customer, significantly improving operational efficiency.
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Advanced Time Series Forecasting for Inventory Optimization: Constructed Time Series sales forecasting models for US Auto Force, optimizing inventory for over 30,000 tire SKUs using Python. Utilized algorithms like Holt-Winters, SARIMA, and XGBoost, achieving a 15% increase in forecast accuracy and a 20% improvement in warehouse turnover, enhancing competitive advantage and operational efficiency.
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Customer Lifetime Value (CLV), RFM Analysis, & Customer Retention: Performed CLV and RFM analysis to identify high-value customers and enhance marketing strategies. Applied unsupervised machine learning techniques, including K-Means Clustering, Principal Component Analysis, and Neural Networks, to evaluate and prioritize high-potential leads, resulting in improved customer retention and increased sales.
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Efficiency-Driven Route Placement Tool: Created a customer routing tool for US Auto Force, using K-Nearest Neighbors and KD Trees to optimize delivery paths and onboarding. The tool projected a $88,000 ROI in the first year and $220,000 over three years, reducing onboarding time by 25 minutes per applicant.
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Strategic Market Analysis and Location Intelligence: Leveraged PowerBI and ArcGIS to analyze key metrics for over 435,000 customers and leads at US Auto Force, optimizing warehouse locations and streamlining service delivery. By benchmarking against top competitors such as American Tire Distributors and TireHub, the analysis informed logistics strategies and strengthened competitive positioning in the market.
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C-Suite Level Reporting with Power BI: Designed and deployed an advanced Power BI dashboard integrated with Azure DevOps, tailored for C-suite executives across 6 divisions within US Venture. The dashboard provided real-time tracking of key metrics, including project ROI, deadlines, progress, and resource allocation.
May 2022 - October 2023
Data Quality Engineer Intern | U.S. Venture, Inc
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Orchestrated Baseline Profiling, Source to Target Mapping (STTM), and Root Cause Analysis using Collibra DIC and Collibra DQ on company wide data.
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Worked on establishing Data Catalogs, Data Dictionaries, Business Glossaries, Technical Lineage, and Business Lineage to ensure a unified source of truth, fostering transparency throughout the entire enterprise.
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Identified a critical data threshold issues with the potential to significantly impact certified data sets in Azure Data Lake, safeguarding data quality and consistency, and accuracy.
February 2021 - May 2023
Founder & President | Lawrence University Data Science Club
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Orchestrated Baseline Profiling, Source to Target Mapping (STTM), and Root Cause Analysis using Collibra DIC and Collibra DQ on company wide data.
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Worked on establishing Data Catalogs, Data Dictionaries, Business Glossaries, Technical Lineage, and Business Lineage to ensure a unified source of truth, fostering transparency throughout the entire enterprise.
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Identified a critical data threshold issues with the potential to significantly impact certified data sets in Azure Data Lake, safeguarding data quality and consistency, and accuracy.
June 2021 - June 2022
Economics Research Assistant | Lawrence University
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Initiated and developed a Power BI & Tableau dashboards allowing Lawrence students to leverage data and information on the location, past education, and current work experience of alumni resulting in an estimated connection of 3,000 students to alumnus.
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Providing timely dashboards, pivot tables, reports, and presentations helpful to more than 5 university departments.
June 2021 - May 2023
Student Data Analyst | Career Center, Lawrence University
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Skills Achieved: Effective Leadership, Problem – Solving, Finance Management, Collaboration & Teamwork (25+ Members).
Work Experience (Growth-Oriented)
September 2019 - Present
September 2020 - January 2022
September 2020 - December 2021
September 2018 - December 2018
International Student Services Student Staff | Lawrence University
Scholarship & Social Chair | Beta Theta Pi Fraternity, Lawrence University
Community Advisor ( RLA | CA ) | Lawrence University
Sales & Marketing Intern | Unilever, Bangladesh
Technical Skills
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Programming | Java, Python, R, DAX
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Python | NumPy, Pandas, Matplotlib, etc
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R/R Studio | ggplot2, dplyr, tidyverse, etc
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Machine Learning | Scikit-learn, caret, mlr3, etc)
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RDBMS | MySQL, SQLite, MS SQL
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Data Governance | Collibra DIC, Collibra DQ, DvSum
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Microsoft | Power BI, Microsoft 365, Azure DevOps, Azure Data Storage
Soft Skills
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Effective Leadership
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Scrum Foundations
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Agile Methodology
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Research Analysis
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Critical Thinking & Analysis
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Problem Solving
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Communication & Collaboration
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Public Speaking
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Event Management
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Inquisitive & Detail Oriented
Certifications:
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Scrum Foundations | Scrum Alliance
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Google Data Analytics Certificate | Google (On-Going)
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Querying Data Bases using SQL | Coursera
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Building Dashboards in Power BI | Coursera