Taught 50 students, where 7 out of them got an offer from work or promotion. Explained followingtopics: Data preprocessing with SQL and Pandas, Visual Data Analysis, Time Series, A/B Testing

◦ Forecasted KPI metrics for 2023 of avtoelon.uz by using Prophet, which helped management tounderstand potential increase of product metrics◦ Conducted research for covariates of Causal Impact for conversion rate of paying users◦ Built dashboards in Power BI, which demonstrates conversion rate in different product pages to thetarget actions and product monetizing of VASes◦ Implemented SPRT on designing experiments, which decreased A/B test sample size by 5 times◦ Designed several A/B tests and tested product hypothesis in app and web users◦ Built K-means clustering model of avtoelon.uz users, which helped to understand the types of productusers. Deployed this model to BigQuery to detect every day users’ cluster

Built CatBoost Regression model to detect average price of apartments for specific regions of Astana,achieved an accuracy of 92%◦ Technical support of product Dynamic Pricing, which increased 1.5% of company total revenue◦ Detected outlier expenditure buildings in construction data by using Interquartile Range◦ Implemented an intervallic algorithm for apartment areas to Dynamic Pricing that increased totalrevenue of company to 0.3%◦ Tested sales experts’ beliefs describing characteristics for sorting price of the apartments

Multi-functional Smart Electricity Metering System- Implementation of ML algorithms for Load Forecasting- Hardware skills: installation of an electrical current sensor- Experience in coding on Arduino and Raspberry Pi

Project "Starting pricing"- Building Linear Regression based on tested expert hypotheses- Testing expert hypotheses such as sorting by area and room basedon dataProject "Dynamic pricing"- Studying the PriceGen core, and developing and algorithm forjumping in the matrix of the sales calendar

A case from Technodom "New turnstile system"- Backend: experience on Django and Django-rest frameworks- Implemented face recognition library to the project- Frontend: introduction to Vue js and HTML- Course: Introduction to machine learning – mlcourse.ai

- Loading and testing channels of the portable radio- Soldering chips and components to the PCB- Programming experience on the Arduino- Assembling and testing of the night-vision devices

- Verify the correctness of tickets and the existence of accreditation for staff to enter the territory of Center - Greet and orient guests as they arrive at the Center for their field trips with professional customer service by offering a welcoming, courteous, and safe environment; - Conduct and facilitate age-appropriate workshops and engage visitors in explorations of the different experiences at the Center;