Alec Stashevsky

Data Scientist // Researcher // R Developer

About Me

I am a data scientist and researcher with experience consulting in the finance and energy spaces. I am passionate about interdisciplinary research that engages multiple paradigms. I care about econometrics, machine learning, anthropology, and research that uses data holistically to push back against siloed analytics.

Currently, I spend my time teaching machines how to read and understand receipts through a combination of contemporary computer vision, natural language processing, and graph machine learning techniques. When I am not thinking about graphs and transformers you can find me snapping shots on my Yashica T4 Super D, hiking, and making pottery.

Interests
  • Inequality and Development
  • Occult Economies
  • Deep Learning
  • Place-making and Temporality
  • Migration and Mobility
  • Spatial Politics
  • Anthropology
  • Decarbonization
  • Securitization
Education
  • B.A., Mathematics-Economics

    Reed College

Experience

 
 
 
 
 
Fetch Rewards
Research Data Scientist
Oct 2021 – Present Los Angeles
Building out core solutions for document understanding and information extraction at the crux of computer vision and natural language processing. Engaging a passion for deep learning on graphs and geometry.
 
 
 
 
 
NERA Economic Consulting
Associate Analyst
Jul 2021 – Sep 2021 New York City
Statistical modelling and economic analysis of high-stakes litigation involving structured finance, bankruptcy, cryptocurrencies, and mass torts. Build algorithms and financial models to estimate damages and predict the performance of complex financial instruments. Use a variety of programming languages to identify fraud and negligent risk management practices for Fortune 500 companies, SEC, DOJ, and FINRA.
 
 
 
 
 
NERA Economic Consulting
Research Analyst
Sep 2020 – Jul 2021 New York City
Securities and Finance Practice
 
 
 
 
 
The Cadmus Group
Research Analyst
Nov 2019 – Sep 2020 Portland, OR
Utilize statistical modeling, data analysis, and machine learning to uncover consumer insights and make business recommendations for diverse energy industry clients. Act as primary analyst evaluating demand-side management programs, including a $600k+ randomized control trial to quantify the impacts of smart thermostat direct load-control events. Forecast electric vehicle diffusion and develop deliverable dashboards for stakeholders using R Shiny. Build models to forecast demand elasticity and potential energy reduction.
 
 
 
 
 
Kyrgies
Data Scientist
Oct 2019 – Jul 2020
Led a project investigating optimal advertising strategies for an online retailer by supplementing Google Analytics and sales data to perform Geo-spatial analysis, market research, and ultimately lead generation.
 
 
 
 
 
KWM Wealth Advisory
Data Scientist Intern
Jul 2019 – Oct 2020 Pasadena, CA
Developed an interactive dashboard to help financial advisers navigate bear markets and contextualize historical data using Shiny, a web application package for R.
 
 
 
 
 
Reed College
Teaching Assistant
Reed College
Aug 2016 – Dec 2018 Portland, OR
Probability / Linear Algebra / Statistics / Economics
 
 
 
 
 
IRN Realty
Systems Administrator
IRN Realty
Jun 2013 – Jul 2015 Arcadia, CA
- LAN/WAN/NOC/NAS Administration
- Lead business-wide IT projects and a team of up to 6 people
- Manage 100+ workstations, servers, MFPs, and PBX phone systems

Certifications

Coursera
Machine Learning Engineering for Production (MLOps)
See certificate
Coursera
Machine Learning
See certificate
Coursera
Foundations for Big Data Analysis with SQL (with Honors)
See certificate
Coursera
Analyzing Big Data with SQL (with Honors)
See certificate
DataCamp
Introduction to Spark with sparklyr in R
See certificate
DataCamp
Support Vector Machines in R
See certificate
DataCamp
Introduction to Scala
See certificate

Tools I Use

Rlogo
R
Python
Python
snowflake
Snowflake (SQL)
pytorch
PyTorch
aws
Amazon Web Services
docker
Docker
pyg
PyTorch Geometric
stata
Stata
sas
SAS
microsoftexcel
Microsoft Excel
git
Git
googleanalytics
Google Analytics

Contact