- Developing decision tree regressors for Afiniti's optimal pairing algorithm, predicting call outcomes with respect to the agent performances, using R- Monitoring the production system for revenue impacting incidents and data quality, creating scheduled alerts and dashboards for production statistics, using R, Python and PowerBI- Developed a small Python package as a wrapper for Scikit-Learn's TfidfVectorizer module to add functionality of handling the unseen vocabulary in the training set

- Created an analytical solution for a retail company to offer their customers thebest subset of promotions, based on the individuals' past behavior and global sales patterns- Designed the predictive scoring algorithms and built the working pipeline in SAP HANA- Participated in A/B testing processes- Developed Python back-end to fully orchestrate the front-end, MSSQL database, SAP HANA database and other Python scripts, using Flask- Developed time series based feature engineering functions to be used in price-variable demand estimation, using Python

- Maintained and improved Invent's replenishment solution for a US retail company, aiming to keep the inventory levels at the optimal state- Designed algorithms to forecast the demand of initial allocation of the new stores and the new products, using R- Developed an algorithm pipeline to forecast additional sales in the promotional periods to manage inventory levels, using R, PySpark and MSSQL- Contributed to Invent's Python library for replenishment solution by developing and testing the lost sales calculation module, using PySpark

Tutoring of the courses below:COMP341 (Introduction to Artificial Intelligence) INDR343 (Stochastic Models) INDR100 (Introduction to Industrial Engineering) PHYS101 (General Physics) CHEM103 (General Chemistry)

Developed mini-games and game features with Unity Game Engine.

Contributed on Xtrong Application as a mobile security developer, using modern cryptography methods.