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JAMES LOPEZ

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:

βˆ™ Python βˆ™ R βˆ™ SQL βˆ™ Tableau βˆ™ Machine Learning βˆ™ Statistics

Professional Experience

April 2019 – present

AARETE, Chicago, IL

CODE Data Analyst

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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

Data Analyst

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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)

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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

Education

GEORGIA INSTITUTE OF TECHNOLOGY, Atlanta, GA

MS in Analytics (2021)

VANDERBILT UNIVERSITY, Nashville, TN

BS in Applied Mathematics (2017)

Projects

GEORGIA INSTITUTE OF TECHNOLOGY

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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

VANDERBILT UNIVERSITY

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Recognized in the Journal of Forensic Science for SVM classifier model of Parental Alienation status in youth patients, achieving

78% accuracy.

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.




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