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Chicago, IL – open to relocate
(XXX) XXX-XXXX | XXXX@XXXX.XXX| https://www.linkedin.com/in/james-lopez-7a(XXX) XXX-XXXX/ | https://www.github.com/lopezj2/
Technologies, Languages & Competencies:
∙ Python ∙ R ∙ SQL ∙ Tableau ∙ Machine Learning ∙ Statistics
April 2019 – present
AARETE, Chicago, IL
CODE Data Analyst
Built, validated and tested Random Forest models with 71% F1 score in Python and R after feature engineering, exploratory data
analysis, and feature selection to predict Diabetes risk for more than 2M members of regional health plan, resulting in a potential
12% reduction in monthly costs per member
Captured $2M in savings opportunities for healthcare clients by developing SQL queries to identify contractual overpayments of
national insurance companies while collaborating with cross-functional members, generating $2.86M in revenue for AArete
Built Tableau dashboard for major NYC client to summarize unit spend for XXXXXX providers
Developed Python script to capture healthcare expenses exceeding policy limits for major CA client, resulting in cost-savings of
$500K and the use of script among other consulting teams.
Led 8 weekly SQL trainings for non-technical consultants to grow team’s technical capabilities.
June 2018 – April 2019
GYMPASS, Houston, TX
Built Python program to automate monthly lead generation of 1K gyms for Sales teams, using Facebook API, Google Maps API,
and fuzzy matching to search for gyms and validate gyms and addresses from different sources
Scraped search pages to collect review ratings of 10K gyms in network from various websites
Developed web page in internal employee portal using Django framework and Leaflet maps to search for in-network gyms
geographically within a radius and display statistics and external ratings as proof-of-concept
Prototyped interactive data visualizations in Python for web page in internal employee portal to display individual Sales team
members’ performance KPIs
July 2017 – June 2018
AT&T, Bedminster, NJ
Operations Analyst (5G)
Slashed 5G radio launch delay times in NYC market by 50% by building and testing regression models in R to predict test failure
risk and quantify associations of failures to radio cell features
Spearheaded the construction and launches of 600+ 5G radio cells in NYC market
GEORGIA INSTITUTE OF TECHNOLOGY, Atlanta, GA
MS in Analytics (2021)
VANDERBILT UNIVERSITY, Nashville, TN
BS in Applied Mathematics (2017)
GEORGIA INSTITUTE OF TECHNOLOGY
Facial recognition, image classification and compression using Principal Components, ISOMAP clustering, K-means clustering,
logistic regression, SVM, and KNN
Spam filtering and classification using Random Forest
Recognized in the Journal of Forensic Science for SVM classifier model of Parental Alienation status in youth patients, achieving
Predicted Tennessee car crash risk using Logistic Regression and regularization (Ridge, Elastic Net, LASSO) on 200-feature
dataset from 2016 DoT car crash data; achieved 80% in Recall and 62% Precision.