Valentin Savchenko Email & Phone Number

Novi Sad, Rs

Novi Sad, Rs

Serbia

As a Senior Machine Learning Engineer at an international B2B company specializing in advertising, business process optimization, and website development, I apply AI to improve and expand our operations across various departments. My responsibilities include building and training neural networks, conducting detailed data analyses, and managing data storage and visualization.One of my main projects is a high-performance neural network that generates lists of potential buyers for our partner stores. This model stands out as the leading technology within our company in this area, consistently ranking among the top of our internal developments. It contributes to over 50% of order volume while utilizing just 20% of allocated costs.I created a recommendation system tailored to user interaction history, providing personalized product suggestions. This algorithm increased our click-through rate (CTR) by 10%, leading to higher conversion rates and delivering measurable improvements in user engagement.Through in-depth analysis of HR data, I identified and corrected critical inconsistencies, leading to more accurate data management. I also contributed to the integration of two major data sources, helping streamline HR processes and improve data reliability.

Serbia

During my time as a freelancer, I successfully completed a number of projects for various companies in the role of a Data Scientist. My main tasks included developing machine learning algorithms, sales analysis, creating databases, parsers, and Telegram bots.My key projects:Collaboration with a major grocery chain contractor: Developed and implemented two machine learning models — MNL and LSTM. These models helped improve product sales, optimize the assortment, and increase the company's profitability by 12%.Sales analysis for a coffee shop on a marketplace: Conducted an analysis of new customer acquisition through social media, as well as calculated the customer retention rate. Data from various sources were collected and analyzed, allowing us to identify and address problematic areas in the customer acquisition and retention strategy.Consultant and instructor: In addition to project work, I also acted as a consultant and instructor for students and professionals looking to enhance their skills. I taught courses on SQL, DBMS, Python for data analysis, statistics, machine learning, and NLP. All my clients successfully achieved their goals.

Serbia

I was a Machine Learning Engineer at a poker industry company, leading project teams of analysts to serve internal and external users. My key responsibilities include creating and applying unique algorithms to improve business processes and integrating these solutions into our main system using DevOps and containerization for faster deployment.Projects:1. Developed a machine learning application to predict the best gaming actions, surpassing human performance by 10%.2. Designed and implemented a neural network for client management that identifies potential future issues, tripling the speed of support.Skills:Expertise in Python, TensorFlow, SQL, Git, Docker, CI/CD, Data Warehousing, PostgreSQL, Linux, Machine Learning, and Analytics.

Serbia

Tutoring of developers-analysts, focusing on solving business problems, university graduates and undergraduates.Projects:1) Helped to develop an automated application for loading, cleaning, storing, and updating tax information files. Utilized PostgreSQL database and Python coding.2)Provided assistance to a bank analyst in improving main quality metrics and enhancing understanding of information preprocessing and user behavior for better business outcomes.3) Machine learning model for PhD student. It defined categories in images and recognized different objects.SkillsPython, SQL, GIT, Docker, Airflow, DWH, ETL, PGAdmin4, SQL Server Management Studio, phpMyAdmin, Linux, Computer vision, Deep Learning, Statistics.

I was involved in setting up the operation of a relational database (updating the storage, loading new information, storing and cleaning). Created DAGs to store information in Data Lake, plan and execute ML tasks. Optimized production processes, which led to an increase in efficiency by 20%- Participation in the development of general AI.- Create a data quality process for data scientists.- Development of internal company applications for QA and UX/UI teams.- A technology for recognizing unique fonts has been developed, which has improved the quality and speed of text recognition.- An application has been created to search for typos and errors on the company’s website.- The process of adding new information to the database has been automated.Python, SQL, Apache Airflow, GIT, Docker, CI/CD DWH, ETL, MongoDB, Linux, Computer vision.

Taught the basics of the Python language for children from 14 to 17 y.o.-Brought Oxford and Yale's delivery approach into the learning process.