Resume

Summary

As a Data Scientist at OneMagnify, I manage end-to-end data science projects for Fortune 500 clients, delivering solutions that drive measurable business value. I’ve designed and implemented robust ETL pipelines, dynamic dashboards in Tableau, and predictive models to optimize client operations. My expertise in R, Python, SQL, and Tableau allows me to provide end-to-end support, from data engineering to business intelligence and advanced analytics, ensuring impactful and actionable insights for stakeholders.

My diverse skill set is further complemented by certifications in Lean Six Sigma and Continuous Improvement, as well as hands-on teaching experience, making me adept at leading technical and cross-functional teams to deliver data-driven results.

Tech Stack

Data Manipulation & Analysis
  • R: {tidyverse}, {duckplyr}, {data.table}
  • Python: Polars, Ibis
  • SQL: PostreSQL, MS SQL Server, DuckDB
  • Excel: Power Query, Pivot Tables, Data Validation, XLOOKUP/INDEX-MATCH
Data Visualization & Reporting
Dashboarding & Data Apps
  • Enterprise Tools: Tableau Desktop & Prep, Power BI
  • Open-Source Frameworks: Shiny (R)
Web Development, & Scraping
Modeling & MLOps
DevOps & Infrastructure
  • Containers: Docker
  • Cloud Infrastructure: AWS (EC2, S3, IAM)
  • CI/CD: GitHub Actions
  • Logging: {log4r}

Experience

Data Scientist

OneMagnify (Previously Splash Analytics)

Remote, USA | January 2023 - Current

As part of a boutique analytics consulting firm, I manage end-to-end data science projects across the full data stack for Fortune 500 clients in the replacement parts industry. I lead engagements from client relationship management to delivering impactful data-driven solutions.

  • Consulting & Client Engagement: Lead multiple high-stakes engagements with Fortune 500 clients, managing relationships, gathering requirements, and presenting tailored data solutions. My role includes conducting client meetings, setting project expectations, and delivering actionable insights, ensuring satisfaction and long-term value creation.

  • Data Science & Analytics: Developed weekly price recommendation models for Amazon ASINs, integrating competitive analysis, seller performance, and margin targets. Support end-of-life part forecasts using ARIMA, ETS, Prophet, and XGBoost, optimizing inventory management for discontinued replacement parts.

  • Business Intelligence: Developed customized HTML reports that surpassed the limitations of traditional formats like PDF/Word/PowerPoint, offering advanced features and portability. Maintained 5 Tableau workbooks on the client’s Tableau Server, delivering dashboards that provided a single view of seller performance on Amazon. These insights helped manage $30M in annual sales across 6,000 SKUs. Created competitive marketplace reports using web scraping to highlight missed revenue opportunities and counterfeit activity, helping clients strategize product offerings.

  • Data Engineering: Designed and implemented robust ETL pipelines, ingesting data from FTP, Google Drive, Amazon S3, and various databases into our internal systems. Enhanced existing workflows to streamline the ingestion and transformation of large datasets across clients.

  • DevOps & Infrastructure: Standardized the use of Git and GitHub for version control and project management, ensuring the accuracy and integrity of SQL queries across client projects. Established database schemas and standards for client data, ensuring consistency in our project folder structures, both locally and in development environments, akin to AWS EC2 and S3.

Operations Leadership Development Program

Xylem, Inc

Chicago, IL & Uniontown, PA | July 2021 - December 2022

During my two rotations as a Business Data Analyst and Continuous Improvement Engineer, I led multi-departmental teams across various sites, implementing data-driven projects and operational improvements.

  • Excess & Obsolete Disposition Project: Applied DMAIC/DMADV methodologies to develop a process for reducing excess and obsolete materials in warehouses, projected to generate $1M–$4M in savings over 3–5 years. Created a cross-departmental E&O task force, leveraging Process Flowcharts, Value Stream Mapping, and Control Charts to improve material rework, resale, and disposal practices.

  • Excess & Obsolete Identification Project: Automated the quarterly E&O reporting process by building SQL queries and Power Query-enabled Excel templates, standardizing reports across three manufacturing sites. This solution reduced the reporting process time by 90%, while meeting finance audit standards.

  • Physical Inventory Event Overhaul: Collaborated with Finance and Materials teams to streamline the annual cycle count event for three sites, reducing event time by one day for two sites and decreasing manager preparation time. Developed process flowcharts, work instructions, and checklists to ensure smooth execution.

  • SQL Reporting & Automation: Created SQL-based ad-hoc reports to validate supplier quotes, synchronize lot sizes, and measure excess inventory across work cells, improving decision-making and alignment across departments.

  • Tableau Reporting: Designed Tableau dashboards for internal audit teams, measuring forecasting accuracy, product quality benchmarks, and KPIs for units produced. These dashboards provided real-time insights, aiding strategic planning for Quality and Finance teams.

  • Continuous Improvement Workshops: Led and facilitated various workshops focused on Lean methodologies, 5S, FMEA, and Process Capability Analysis, driving continuous improvement initiatives and fostering a culture of operational excellence across multiple sites.

Undergraduate Teaching Assistant

West Virginia University

Morgantown, WV | August 2019 - May 2021

As a Teaching Assistant in the Industrial Engineering department, I supported student learning across four key courses, contributing to curriculum development and enhancing student comprehension through hands-on teaching and guidance.

  • Spring 2021 | IENG 220: Re-engineering Management Systems
  • Fall 2020 | IENG 305: Intro to Systems Engineering
  • Spring 2020 | IENG 331: Computer Applications in Industrial Engineering
  • Fall 2019 | IENG 445: Project Management for Engineers

Manufacturing Engineer Intern

JLG Industries

McConnellsburg, PA | June 2019 - August 2019

During my internship at JLG Industries, I contributed to process improvements and operational efficiency on the manufacturing floor, working closely with engineering teams on key projects.

  • Test - Inspect - Green Tag (TIG) Line: Conducted a comprehensive 6S audit to optimize workstation layouts by eliminating unnecessary equipment and parts, which improved workflow and increased efficiency. Developed Standard Work Instructions (SWIs) from scratch for five stations, covering three different products, ensuring consistency and reliability in the inspection and tagging processes.

  • Tire Manipulator: Implemented a scanner-based system for defect entry into the Electronic Quality Control (EQC) system, standardizing the defect entry process and improving data accuracy. Designed detailed floor plans for both current and future station layouts using laser measurements and AutoCAD, enabling optimized workspace planning for the Tire Manipulator project.

Education

Bachelor of Science in Industrial Engineering

West Virginia University

Morgantown, WV

Industrial engineering is the discipline of engineering concerned with the design, improvement, and installation of integrated systems of people, material, information, equipment, and energy to assure performance, reliability, maintainability, schedule adherence, and cost control.

Certifications

  • Lean Six Sigma Green Belt | Institute of Industrial and Systems Engineers
  • Continuous Improvement Fundamentals | Oshkosh Corporation
  • Eligible for Certified Associate in Project Management (CAPM) | Project Management Institute
Back to top