Machine Learning Data Analyst

Jacquelyn R Flynn, PMP

Greene, ME, USA 207-***-**** *********@*****.*** LinkedIn

Profile Summary

Applied machine learning specialist with advanced expertise in data science and model development using Python and ML frameworks. Experienced in crafting data-driven solutions to tackle complex analytical challenges and optimize performance. Proven ability in cross-functional collaboration and innovative, independent problem solving.

Skills

•Machine Learning & Data Science: Machine Learning, Natural Language Processing, Graph Analysis, Information Retrieval, Data Analysis, Research Experience

•Programming & Tools: Python, Tensorflow, Pytorch, MLFlow, SQL

•Other Technical Skills: Salesforce, 0, 1, 2, 3, 4, 5

Work Experience

Strawberry Fields Apothecary

Business, Systems, & Data Analyst

PackGen (LaPointe Packaging)

Procurement Specialist & Data Analyst

Polymer Laboratories & Solutions

Process Engineer & Business Data Analyst

Advisor Compliance Associates

Sr. Business & Systems Analyst

CGI Consulting

Salesforce Consultant & Business Analyst

Panolam Surface Systems (Pionite)

Process Engineer & Project Manager

FHC, Inc.

Project Manager, Engineer, & Analyst

Academic credentials

2024 - Present

Lewiston, ME

2023 - 2024

Auburn, ME

2023 - 2023

Lewiston, ME

2021 - 2023

Portland, ME

2020 - 2021

Waterville, ME

Jan 2010 - 2012

Auburn, ME

2008 - 2010

Bowdoin, ME

Massachusetts Institute of Technology, Boston, MA

Jul 2025

Masters' Level Certificate, Applied Data Science & Machine Learning

University of Maine, Orono, ME

May 2001

Bachelor of Science, Mechanical Engineering Technology

Projects

FoodHub Restaurant Demand Analysis

FoodHub

•The food aggregator company wants to analyze the data of the different orders made by registered customers from their online portal to evaluate restaurant demand in order to improve the customer experience.

Boston Housing Price Prediction

Boston

•The city of Boston needed to predict the housing prices of a town or a suburb based on the features of the locality provided to us.

•In the process, we need to identify the most important features affecting the price of the house.

Used Cars Price Prediction

Used car company

•A used car company needs to predict the price of used cars based on various features such as the car's name, location, manufacturing year, distance driven, fuel type, transmission, owner type, mileage, engine size, power, and number of seats.

•The goal is to build a regression model that can accurately estimate the price of a used car.

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