I am currently working for Pfizer as Data Scientist. I work on forcasting models to improve and optimize production. My main interest is reinforcement learning. I like training models to solve real life problems (mode fun when they are wierd problems).

Also, I have my own company called NoArgue where we make movie, music and restaurant recommendations for groups. Check out NoArgue

Data Scientist -- Pfizer 08/2021-Present

• Design and Trained ML models to improve and optimize production. Models improve error rate from 8 days average to 2 days avarage.
• Designed and built ETL pipelines with Python, PostgreSQL, and Apache Airflow.

Data Scientist -- Toptal 03/2020-08/2021

• Built the web interface of a reinforcement learning environment for training and evaluation. Additionally, trained actor-critic model with integrated gaze point reward signal for design tasks.
• Designed process-oriented workflow and ELT processes for loading data into the data warehouse.
• Worked closely with project managers, business analysts, source owners, and the data quality team to ensure timely and accurate delivery of business requirements.

Research Assistant -- University of Alberta 10/2019-02/2020

• Working on applying Coagent networks in supervised setting
• Developed Deep Q-Coagent Networks, a new deep reinforcement learning (DRL) algorithm.

NASA Wearable Technologies

• Analyzed the datasets from IOT devices on the International Space Station.
• Trained anomaly detection model on CO2 levels in ISS
• Published and presented a poster at the NASA Wearable Technologies Workshop on April, 2018 and the project is currently running in the space station.

• HackHouston hackathon First Place
• HackNAU hackathon Organizer