Matthew Merenich

1014 S 17th Street · Philadelphia, PA 19146 · (215) 498-7552 · m.merenich21@gmail.com

I am a graduate student with 8 years of D2C e-commerce and retail business experience, including sales forecasting, executive-level reporting and analysis, internal consulting, and software tool development and deployment. I'm eager to be at the forefront of incorporating data science and machine learning techniques to tackle today's most complex business problems.

Experience

Merchandise Planner

Urban Outfitters, Inc.

  • Act as the financial leader of a cross functional team responsible for forecasting 15% of total company sales across 2 divisions.
  • Facilitate hindsight and ad-hoc data analysis to gain insights for optimal performance within topline sales and gross margin, inventory management, and product assortment.
  • Used Python to clean 6 years of vinyl record sales data and develop reporting for optimal inventory levels.
October 2018 - Present

Business Process Analyst

Talbots, Inc.

  • Served as primary liaison between IT and business to define planning organization's data processes and reporting.
  • Aided in the development, testing, and support phases of new data software launches (CE, Microstrategy) for 150 employees within merchandising team.
  • Created and maintained executive reporting tools and data analysis for all of planning and merchandising teams.
  • Onboarded new planners to acclimate them with our processes, knowledge, and tools.
April 2017 - May 2018

Assoc. Merchandise Planner

Talbots, Inc.

  • Built and maintained sales and inventory plans pre- and in-season to optimize topline gross margin within 2 departments.
  • Spearheaded partnership with IT and business process teams to streamline data analysis and reporting for company.
February 2016 - April 2017

Inventory Analyst

Talbots, Inc.

  • Allocated new and existing products to 404 stores based on sales, climate, and forecast trends.
  • Implemented new reporting and operational processes to improve efficiency for analysts
November 2014 - February 2016

E-Commerce Intern

Reebok

  • Co-developed demand forecast reporting for yearly buys over 3 categories for executive team
  • Assisted with ad-hoc projects within the site merchandising, marketing, and software engineering teams
January 2014 - June 2014

Supplier Implementation Intern

Wayfair, LLC.

  • Established initial connection of over 200 suppliers onto inventory database via FTP or Wayfair's intranet.
  • Assisted with training new hires on their inventory projects.
January 2013 - June 2013

Education

Drexel University

Masters of Data Science
April 2019 - April 2022 (expected)
Coursework:
  • DSCI 511 Data Acquisition & Pre-Processing
  • DSCI 521 Data Analysis & Interpretation
  • DSCI 591 Data Science Capstone I
  • DSCI 592 Data Science Capstone II
  • DSCI 631 Applied Machine Learning for Data Science
  • CS 520 Computer Science Foundations
  • CS 570 Programming Foundations
  • CS 571 Advanced Programming Techniques
  • INFO 634 Data Mining
  • CS 615 Deep Learning
  • CS 660 Data Analysis at Scale
  • INFO 605 Database Management Systems
  • INFO 606 Advanced Database Management
  • INFO 659 Introduction to Data Analytics

Northeastern University

Bachelors of Science in Economics
September 2009 - August 2014

Skills

Programming Languages & Tools

My primary programming language is Python through Jupyter notebooks, Google Colaboratory, and PyCharm.

I'm also familiar with SQL (Oracle SQL Lite and MySQL), R through RStudio, VBA, and MongoDB, all through coursework assignments and project implementation.

For visualizations, I utilize Tableau.

Extensive experience in Excel, Microstrategy, and Looker.

Python Packages
  • Pandas
  • NumPy
  • Matplotlib
  • Scikit-learn
  • Seaborn
    • Documentation Tools
  • Markdown
  • LaTeX
  • Overleaf

    • Projects & Papers

    E-Weaver: a sustainable clothing aggregation and recommendation system (Matthew Merenich, Colin Murphy, Dayun Piao, Zifeng Wang)

    Examination of Deep Q Learning Networks and the Potential Benefits with Respect to Video Game Development (Matthew Merenich, Marcus Sullivan, Ishtiaq Shariar)

    Development of a SQLite app for hockey statistics using APIs and Flask (Matthew Merenich, Kevin Fitzpatrick, Kim-Cuong Nguyen, Kurt Shadle)

    Certifications

    Coursera: Python for Data Science, AI & Development

    Coursera: Databases and SQL for Data Science

    Interests

    Apart from data, I spend most of my time being active and outdoors. I've been an athlete all my life and continue to learn new sports. While in Boston, I taught Crossfit classes and trained heavily in weightlifting. My latest venture has been running and triathlons - the last 2 years have seen the completion of the Philly Marathon, Eagleman 70.3 Ironman, and the 2021 Eagles Austism Challenge where I raised over $1,700 for the cause (pictured below). In the winter I am an avid skier, and in the summer I love to golf and hike.

    Aside from exercise, I've recently become enamored with photography and enjoy documenting my adventures.

    When forced indoors, you can find me reading sci-fi and fantasy series, editing photos, and planning my next travel destination.