Sergei G.

Product Data Analytics: – Assessed performance of multi-impression objects, identifying technical limitations and revenue growth opportunities – Assessed incoming traffic for compliance with industry standards, identifying partners to notify to prevent potential revenue loss – Supported the integration of green media products in collaboration with Scope3 by developing Tableau monitoring dashboards Data Engineering: – Developed LLM-empowered Snowflake Assistant to bridge the gaps by Q&A automation between business users and data team – Developed and maintained analytics pipelines to ensure data delivery, reliability within big data environment (+8 trillion logs/month)

Conducted exploratory analysis of clients’ incoming communications using NLP approaches: – Implemented an innovative hierarchy of topics for communications, increasing the rate of topic-covered enquiries from 30% to 90% – Designed and evaluated A/B tests, driving pioneering business decisions Developed interactive analytical dashboards for stakeholders: – Created a dashboard for detecting API method crashes – Developed a notification map that reduced costs for non-relevant notifications by 15% – Standardised a dashboard template for A/B testing, optimising the development time for the entire analytics team by 80% – Dissected the origination phase into product-based Customer Experience metrics which identified and addressed key customer complaints with reduction of negative experience by 10%

– Preparation of workshops' materials (Jupyter Notebooks, Kaggle Competitions, presentations) – Conducting workshops for students – Development of a Lab of Data Analytics project Course materials might be observed here: http://wiki.cs.hse.ru/Introduction_to_programming_DSBA_2022/2023

– Built models based on item characteristics to match product bundles across different marketplaces – Developed a data-driven marketing tool for analysing and managing advertising campaigns on marketplaces – Created analytical and operational alerts as part of the mobile app’s functionality – Conducted A/B tests to boost monetization, increasing the frequency of item card appearance in the top by 20%, expanding customer basket by 7% and boosting the average cheque by 15%

– Conducting consultations with students on the course – Additional case studies with students – Checking homework - code review, plagiarism check – Maintenance of a report card on students' performance Course materials might be observed here: 2020/2021: http://wiki.cs.hse.ru/Introduction_to_programming_DSBA_2020/2021 2019/2020: http://wiki.cs.hse.ru/Introduction_to_programming_DSBA_2019/2020

– Trained an NLP spell-checker to deal with polluted data and extract meta-SKU from parsed FMCG market data, correcting 60% of misspelt SKU – Engineered PostgreSQL databases and built advanced SQL queries, improving python code performance efficiency by 80% – Created a Speech-to-text interface for interview/meeting transcriptions, reducing time consumption for speech transcription from several days to 2-4 hours – Performed Recency, Frequency, Monetary segmentation based on association rules and implemented LSTM binary classification of clients’ outflow

– Research the stock market field: stock exchanges, industry directions, #IPO companies, dividend analysis – Developing ARIMA / SARIMA models with subsequent comparison of the prediction power – Implementing Naive Bayes / Logistic Regression models with subsequent comparison of the results – Building an ensemble of models under the CatBoost to construct the most suitable stock portfolio

TOP-7 French Business School (Financial Times, 2024) Merit-based scholarship of 3,000 EUR awarded for outstanding application excellence and professional experience

Under academic direction from LSE

TOP-2 Russian University (Forbes, 2024) Received a merit-based scholarship covering 20% of the tuition fees