Charlotte Martinkus

Data Analyst

Chicago, United States

Summary

Much of my past data analysis experiences have been in academia, so I am well-versed in independent learning and producing professional results. With more than six years' worth of Python experience, I'm always trying to learn the latest packages pertaining to my research interests. After graduating with my MS degree in Applied Math with a Statistics concentration, my new focus is programming to solve problems in machine learning and probabilistic modeling.

Languages:

English, Spanish

Favorite Python Packages:

Pandas, TensorFlow, numpy, matplotlib, sklearn, networkx

Experience

December 2017 - Present

Wolin Enterprises, Northbrook, IL - Administrative Assistant

• Promote overall function of office by maintaining efficient workflow to streamline tax return process, process 90% of tax returns
• Provide customer-focused service addressing questions and concerns and delivering timely and professional answers
• Organize and eliminate clutter from hundreds of client files to make room for new clients
• Gain proficiency in Lacerte and Quickbooks programs
• Process quarterly payroll returns so others can complete their own projects
• Train new employees and write instruction manual detailing all responsibilities

January 2020 - June 2020

DePaul University - Graduate Research Statistical Analyst

• Worked on project from the Statistical Consulting Center analyzing data from various fields in an effort to answer specific research questions and glean meaningful results
• Gained proficiency in Python PANDAS library to analyze dataframes
• Wrote code in R and Python that automates simple regression processes to report key basic diagnostics and diagnostic plots

September 2016 - September 2017

The Pennsylvania State University, State College, PA - Graduate Research Analyst

• Created code and edited existing code in MatLAB to analyze 20 million data points using statistical modeling and analysis to search for trends
• Performed data analysis and data visualization to assist team members with their own pieces of the project
• Brainstormed and discussed personal progress at weekly Skype conferences to further develop teamwork and interpersonal skills
• Wrote two published papers with team

January 2016 - August 2016

CMCC, Lecce, Italy - Research Analyst

• Developed code in Python that finds the shortest and safest ship route across the Atlantic Ocean that pioneered future projects
• Independently learned basics of network graph theory with growth mindset
• Solved code issues while practicing high-level programming language (Python)
• Verbally presented results to colleagues via formal Microsoft PowerPoint presentation

Summer 2014

University of Minnesota, Minneapolis, MN - REU Research Analyst

• Cleaned and interpreted raw dataset for five galaxies that was so successful I was asked to analyze 13 additional galaxies in the following year
• Consulted with team for feedback monthly
• Interpreted data results from data analysis and data visualization
• Learned and mastered new software programs and high-level programming languages like GBTIDL and AIPS
• Verbally presented results at national conference

Skills

Big Data, Data Science, Git, Keras, Linux, Machine Learning, Matplotlib, NumPy, Pandas, SQL, SciPy, TensorFlow, Visualization