Mackenzie Mitchell
Boston,MA
Summary
Extremely ambitious Software Engineer with a background in entrepreneurship, data science, and actuarial science. Fluent in Python, educated in C++ and SAS, experienced in Data Science, GenAI, and working with Export Controlled information.
Overview
4
4
years of professional experience
Work History
AI Software Engineer
Boston Consulting Group (BCG)
2022.07 - Current
- Integrated full stack engineering, prompting, and fine-tuning of GenAI assistant for insights across database sources.
- Implemented GenAI solutions for 4 different projects using LangChain with agents, RAG retrieval, and knowledge graphs.
- Reviewed project specifications and designed technology solutions that met or exceeded performance expectations in Python using Django, FastAPI, and Flask on different cases.
- Revised, modularized and updated old code bases to modern development standards, reducing operating costs and improving functionality.
Software Engineer
GE Digital
2021.03 - 2022.07
- Performed development, debugging, optimization and automation to support implementation of Nuclear OPA and early Carbon Management products and applications.
- Paired with fellow engineers to brainstorm ideas, debug problems and review code.
- Developed complex software and systems deploying one or more programming languages such as Python and Javascript.
- Delivered documentation for design decisions, estimating assumptions, code modules and performance metrics.
- Delivered unit-tested systems.
Software Engineer
SuperData
2020.02 - 2021.03
- Researched, designed, and implemented scalable applications for data extraction, analysis, retrieval and indexing.
- Coordinated with hardware, and system engineering leads to gather and develop system requirements.
- Adopted engineering best practices and delivered highest quality scalable solutions.
- Designed and implemented scalable application programming interfaces in Python using Flask API's and SQLAlchemy.
- Paired with fellow engineers to brainstorm ideas, debug problems and review code.
Senior Consulting Data Scientist
Simply Organic Beauty
2020.01 - 2020.02
- Produced ad hoc reports and documents for analysis by senior executive team members
- Developed modeling system to determine proper prices that protected margins and maximized profits
- Worked directly with CEO to collect business questions and report back with data-driven answers
- Created Tableau worksheets and dashboards to visualize sales data
- Analyzed data for company sales, invoices, profit, performance, and shipping using Python, SQL, Pandas, Seaborn, and Tableau
CEO And Founder
Happy Bunny Cosmetics
2015 - 2017
- Developed and managed cruelty-free cosmetic distribution company start-up.
- Originated metrics from raw company data to track improvements in efficiency resulting in 25% increase in sales.
- Analyzed website data and used forecasting models to direct company assets.
- Created and revised annual budget for business operations to generate net income.
Education
Bachelor of Science - Actuarial Science
Florida State University
Tallahassee, FL2019
Data Science Immersive Bootcamp
The Flatiron School
New York, NY2019
Skills
- Data analysis
- Proficient in Python
- Scrum Methodology
- LangChain (GenAI)
- MS PowerPoint
- API Design (Flask, FastAPI, Django)
Actuarial Exams
- Exam FM/2 Passed December 2018
- Completed courses to obtain Economics VEE
Timeline
AI Software Engineer
Boston Consulting Group (BCG)
2022.07 - Current
Software Engineer
GE Digital
2021.03 - 2022.07
Software Engineer
SuperData
2020.02 - 2021.03
Senior Consulting Data Scientist
Simply Organic Beauty
2020.01 - 2020.02
CEO And Founder
Happy Bunny Cosmetics
2015 - 2017
Bachelor of Science - Actuarial Science
Florida State University
Data Science Immersive Bootcamp
The Flatiron School
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