Igor Iakubovskii

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Регистрация: 03.02.2024

Специализация: Data Scientist

Docker Git Python SQL

Портфолио

Educational course

I developed DS course for my personal students. 4 out of 5 students got offers in Data positions

Test task for P2P.org company

I solved test tasks for crypto company - researched strategy of certain address in the blockhchain and build a dashboard.

Educational course for Python Developers

I developed educational course for python beginners and successfully implemented it for my personal student. Finally, this student got a job as Junior Python Developer.

Скиллы

Airflow

Bigquery

CI/CD

Clickhouse

Confluence

Docker

FastAPI

GitHub

Gitlab

Jira

MLFlow

PostgreSQL

Pyspark

Python

SQL

Statistics

Tableau

Опыт работы

Senior Data Analytic

с 01.2023 - По настоящий момент |P2P.org

1. Enhanced Validator Stake: Successfully attracted an additional $10 million in stake to our validator by employing advanced machine learning techniques, significantly boosting our validation capacity and market presence. 2. Developed ETL Processes: Spearheaded the creation and maintenance of efficient ETL processes from the ground up. This initiative has been instrumental in monitoring and optimizing profit margins, thereby enhancing operational efficiency.

Senior Machine Learning Specialist

01.2022 - 01.2023 |SamokatTech

Elasticity models

I developed and implemented a dynamic price system for our managers in order to optimize marketing spends. The main complexity is that we had millions of goods and that was hard to plan promo by manually. Fortunately, my ML models helped managers to choose the most profitable categories in order to optimize discounts for promo campaigns. Therefore, this tool has contributed to increasing of marketing ROI by 30%.

Full Stack Data Scientist

01.2021 - 01.2022 |Appbooster

1. Developed a causal inference model that optimized online promotional spending for a client's app, significantly reducing their marketing expenses. 2. Innovated a methodology for Bayesian A/B testing, enhancing the precision and reliability of experimental results in marketing strategies. 3. Created predictive models for keyword analysis in mobile stores, enabling more accurate frequency estimations that improved the efficacy of promotional efforts.

Senior Data Scientist and Econometrician

01.2019 - 01.2021 |Dentsu

1. Developed Machine Learning and Marketing Mix Modeling (MMM) solutions for major, high-profile clients, enhancing their strategic marketing capabilities. 2.Executed in-depth social media analysis to derive critical business insights, informing data-driven decision-making processes. 3. Optimized media mix strategies, leading to a significant increase in marketing Return on Investment (ROI) for diverse clients.

Образование

Economics and finance (Магистр)

2015 - 2017

RANEPA

Economics (Бакалавр)

2011 - 2015

RANEPA

Языки

АнглийскийВыше среднего