Data Analyst Python

Jack Molesworth

**************@*****.*** 301-***-**** 21702 www.linkedin.com/in/jackmolesworth GitHub: jsmolesworth96 Data analyst proficient in working with large data sets breaking down data, gathering relevant points and solving advanced business problems using Python, SQL and Tableau supporting lifecycle data project management deliverables. SKILLS

GENERAL PROGRAMMING LANGUAUGES: Python, SQL, Version Control (Git/GitHub), Anaconda / Jupyter, Microsoft Excel

MACHINE LEARNING: Classification, Regression, Preprocessing, Text Analysis PYTHON ML TOOLS: pandas, scikit learn, SciPy, numpy, statsmodel, Visualization (matplotlib, seaborn), pyspark PROJECTS

Pitchfork Album Review Predictor December 2020

• Built model to predict whether an album received a score of 8+ / 10 for over 10,000 album reviews using data scraped from Pitchfork’s website

• Performed tasks including data cleaning, exploratory data analysis, preprocessing and modeling using Python

• Achieved an accuracy score of over 90% with grid-searched logistic regression model Mid-Atlantic Germanic Society Database February 2020 – May 2020

• Team was tasked with creating relational database for client

• Defined technical terms in a data dictionary for the client and queried views for the database using SQL

• Maintained effective communication and collaboration with group via weekly Zoom meetings ensuring project timelines were met

Health Data Analytics Final Project March 2020 – May 2020

• Identified health dataset to use in performing analysis and outlined project plan

• Performed simple, multiple, and logistic regression analysis on several variables using R

• Successfully answered research questions and presented findings to class with group of four teammates WORK EXPERIENCE

Growth International Volunteer Excursions, Volunteer June 2018

• Engaged with fellow volunteers on a permaculture site to provide food for local villagers

• Communicated with local communities to ensure work was done properly

• Collaborated with 28 fellow volunteers to figure out best methods of execution EDUCATION

Springboard June 2020 – Present

Data Science Career Track

• 550+ hours of hands-on course material, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects.

• Mastered skills in Python, SQL, data wrangling, data visualization, hypothesis testing, and machine learning. University of Maryland, College Park May 2020

B.S. Information Science, Minor: Philosophy

Frederick Community College May 2017

A.A. General Studies

Relevant Coursework: Health Data Analytics (R), Data Sources and Manipulation (Python), Object Oriented Programming

(Python), Database Design and Modeling (SQL)

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