Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 3

- semi-finals in "The A.I. Guardians" international competition held by Microsoft (project - Smart Teacher Assistant: Automating teacher assistant's work like grading, q&a, recommendations)
- Updating existing Research Paper within KAIST class for MS and PhD students (Expressive Real-Time Intersection Scheduling) using Reinforcement Learning
1st place in Hackathon held by MOST and Unicef (project - vaccination analytics)
- 1st place in local Kaggle competitions within Yessenov Data Lab (Pokemon classification)
- 1st place in local Hackaton (case - PedestrianTraffic Control in streets -  Computer Vision)
- Part of Olympic Training Center within my university (preparation for ACM ICPC)
- Took part in fraud investigations within Digital Crimes Unit team at Microsoft. Built a repository-type environment with functionalities like HDBSCAN clustering, force-directed graphs (networkX) and SSDEEP fuzzy hashing for investigators using Azure Machine Learning platform. 
- Conducted a clustering analysis on large amount of phishing kits (3 mln zip files) using Azure Databricks platform and Apache Spark framework. Dealt with Big Data in Cloud. 
- Built a Image Pdoto DNA hash clustering algorithm that outperformed previous technique (prediction of single hash from 5 hours to 1 second). 
- Applied Deep Learning (LSTM) and Optical Character Recognition algorithms to classify pdf documents.
- Analyzed large amount of traffic data from biggest cities in Kazakhstan (10mln rows per month) and built a vehicle movement simulator using Plotly.

I want to improve my leading skills as well as my hard skills which include projects involving Reinforcement Learning and Deep Learning. Classic Machine Learning is also very interesting for me, if it involves making state-of-the-art solutions.
Power BI is not something I will do very productive. I have an experience with it, but I don't  have much interest to deal with it