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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:

∙ Python ∙ R ∙ SQL ∙ Tableau ∙Machine Learning ∙Statistics

Professional Experience

AARETE, Chicago, ILApril 2019 – present

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 memberCaptured $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 AAreteBuilt Tableau dashboard for major NYC client to summarize unit spend for XXXXXX providersDeveloped 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.

GYMPASS, Houston, TXJune 2018 – April 2019

Data Analyst

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 websitesDeveloped 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-conceptPrototyped interactive data visualizations in Python for web page in internal employee portal to display individual Sales team members’ performance KPIs

AT&T, Bedminster, NJJuly 2017 – June 2018

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 featuresSpearheaded 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

Facial recognition, image classification and compression using Principal Components, ISOMAP clustering, K-means clustering, logistic regression, SVM, and KNNSpam filtering and classification using Random Forest

VANDERBILT UNIVERSITY

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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