Open to opportunities

Daniel Avila

@danielavila

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Data-driven consultant specializing in public policy and analytics.

United States

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What I'm looking for

I am seeking a role that allows me to apply my data science skills in a collaborative environment, focusing on impactful projects that drive policy improvements and enhance community outcomes.

As a dedicated data science consultant with a focus on public policy, I leverage my expertise in data analysis and machine learning to drive impactful insights. My academic background includes a Master's in Public Policy with a specialization in Data Science from the University of Chicago, where I honed my skills in advanced analytics and causal inference methodologies.

Throughout my professional journey, I have successfully led analytics teams on various public sector consulting projects, securing over $500K in funding and communicating complex statistical methods to non-technical stakeholders. My projects, such as predicting crime rates in Chicago neighborhoods and evaluating employee attrition at IBM, showcase my ability to apply machine learning techniques to real-world challenges, ultimately informing policy decisions and improving community outcomes.

Experience

Work history, roles, and key accomplishments

Data Science Consultant

University of Chicago Medical Center

Sep 2024 - Present (11 months)

Consulted with the University of Chicago Medical Center to define and improve KPIs for patient quality of care and doctor quality of life. Modeled outcomes using regressions and random forests, visualized data, and cleaned/merged datasets with over 100,000 rows.

Pandas scikit learn Matplotlib Random Forest Data Cleaning Data Visualization KPIs Qualitative Research

Project Associate

University of Chicago, Urban Labs

Jul 2022 - Present (3 years 1 month)

Led analytics teams for four public sector consulting projects, utilizing A/B testing and causal inference methodologies to drive insights for government clients. Secured over $500K in project funding through grant writing initiatives.

A B Testing Causal Inference Project Management Data Analysis Statistical Methods

Analyst

Agria

Mar 2020 - Present (5 years 5 months)

Managed data pipelines, KPIs, and reporting for an early-stage bio-agtech startup, supporting over $1M in client project bids. Developed internal SOPs and marketing materials, collaborating with C-level stakeholders on strategy.

Data Pipelines KPIs Reporting SOP Development Product Development

Education

Degrees, certifications, and relevant coursework

University of Chicago, Harris School of Public Policy

Masters of Public Policy (STEM), Public Policy

2023 -

Grade: 3.6

Activities and societies: Specialization: Data Science and Analytics in Python Coursework: Advanced Economics I + II, Statistics for Data Analysis I + II, Program Evaluation (Causal Inference for Public Policy), Machine Learning I + II, Data Analytics in Python I + II

Currently pursuing a Master of Public Policy with a specialization in Data Science and Analytics in Python. Coursework includes advanced economics, statistics for data analysis, program evaluation, and machine learning. Expected to graduate in June 2025.

University of Chicago

BA, Economics, Economics

2018 - 2022

Grade: 3.3

Activities and societies: Projects: Forest Fire Acreage Prediction, “Broken Windows” Theory Chicago Crime Prediction, IBM Employee Attrition.

Completed a Bachelor of Arts in Economics, focusing on quantitative analysis and economic theory. Engaged in various projects applying statistical and machine learning models to real-world datasets. Graduated in June 2022.