Jiri Stodulka

Data Scientist

About

I am a Data Scientist with a master’s degree in Applied Economics. Currently, I work as a full-time data scientist at SGS & Co and facilitate transformation towards AI and ML. Working with text and graphical data, I am personally responsible for R&D of various ML features and solutions in production.

With Aggregate Intellect, I facilitate discussion groups about various topics in AI and contribute to open-source. With Sharpest minds, I offer 1-on-1 mentorship with aspiring ML/Data Scientist!

Experience

End-to-end ML production
Recommender Engine
Applied Economics
NLP
CV

Education

MA in Applied Economics, 2018
Center for Economic Research and Graduate Education – Economics Institute
BSc in Business Administration, 2017
The State University of New York

Recent Projects

End-to-End Project: Emotionally Aware Movie Recommender

Last updated on Oct 19, 2021 1 min read Python

Video Presentation: Multi-variate (15,000) Time-Series Forecasting for Inventory Items

Last updated on Oct 19, 2021 1 min read Python

Collaborative Filtering: Matrix Factorization Recommender System

This article targets anyone with previous exposure to machine learning but with little to no knowledge of the recommendation systems. …

Last updated on Oct 19, 2021 23 min read Python

Toronto Crime and Folium

In this post, I will analyze major Crime Indicators in Toronto in years from 2014 to 2018. I obtained the publicly available data set …

Last updated on Oct 19, 2021 10 min read Python

Supervised Machine Learning With Scikit-learn and Diabetes

In this post, I will explore and configure a few classification algorithms (supervised machine learniIn this post, I will explore and …

Last updated on Oct 19, 2021 17 min read Python

See all posts

Posts

Cognitive Model Priors for Predicting Human Decisions | AISC

The work elaborates on previous attempts to outperform cognitive models developed by social scientists by ML algorithms. The authors use the BEAST model to create a synthetic dataset and internalize its weight in a neural network. Unlike previous attempts, the model can work only on raw data without exhaustive feature engineering and achieve unseen performance.

Data Science and innovative disruption enabled by startups (video)

Gunjan Syal is joined by Jiri Stodulka, a data scientist, to discuss how the startups enable transformations via disruptive technologies. Subscribe for more transformation-focused videos and live events..

Combining policy gradient and Q-learning

This blog post is the collective work of the participants of the “RL” workshop organized by Aggregate Intellect.

Public

Appearances

I am a very active member of Aggregate Intellect! If you are eager to “stop searching alone and start building together”, join the 10K+ community in our Slack channel!

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