Personal information hidden

“Embracing the unknown,
I craft success out of uncertainty”

TYMOFII TKACHENKO
DATA SCIENTIST

PERSONAL SUMMARY
I am a results-driven Senior Data Scientist with a proven record of
delivering impactful machine learning solutions.

I developed an LTV prediction model that cut marketing costs by 15% and
CONTACT automated processes like anti-fraud detection to improve decision-making.
I boosted policy conversion rates by 25% in the insurance sector through a
@timofeytkachenko full-stack project using a Flask-based backend and microservices.

[open contact info](look above in the "contact info" section) With expertise in predictive analytics and computer vision, I create
accurate forecasting models and actionable insights.
timofey-tkachenko

timofeytkachenko My systematic approach and skills in A/B testing, clustering, and statistical
analysis ensure business-aligned, high-quality results.

CORE
COMPETENCIES PROFESSIONAL EXPERIENCE
2021.AI 2025-05 - PRESENT
Machine Learning
AI Engineer
Statistics
Predictive Analytics Developing and evaluating YOLO-based object detection models, including
dataset preparation and processing for training and validation.
Data Visualization Optimising computer vision inference pipelines and implementing detection
Data Wrangling and alerting logic based on model predictions.
Analysing model performance, including false positives and false negatives.
Integrating ML inference components into the overall application pipeline.
Deploying the complete project to the target environment and supporting the
TECHNOLOGY end-to-end deployment process, including application configuration, ML
STACK model integration, and system verification.

Programming & Frameworks: NDA Company Experience 2020-08 - 2025-05
Python, SQL, Flask, Flask- Data Scientist
SocketIO, PyQt
Shortened A/B test durations by over 20%, enhancing efficiency and speeding
Data Science Tools: Polars,
up decision-making.
Pandas, Scikit-Learn, Designed an LTV prediction model, reducing marketing costs by up to 15%.
XGBoost, LightGBM, Automated LTV prediction, anti-fraud detection, and user behaviour analysis
CatBoost, SHAP, LIME, processes.
Facebook Prophet, SARIMAX Leveraged computer vision and user profile analysis to fraud detection to
Deep Learning: TensorFlow, deliver precise forecasts that guide strategic decisions.
PyTorch, Keras
Computer Vision: OpenCV, AltexSoft Experience 2019-12 - 2020-08
YOLO, Faster R-CNN, Mask Data Scientist
R-CNN, Tesseract
Increased the conversion rate for insurance policy purchases by up to 25%.
DevOps & Deployment:
Led a full-stack insurance project using microservices and a Flask-based
AWS, Docker, Jetson Nano backend.
Analytics: A/B-Testing, Implemented a prediction model and retraining scripts to optimise
Causal Inference, Uplift- performance and solve business challenges.
Modelling Applied statistical frameworks to uncover insights and guide decisions in
model training, selection, and validation.

“Embracing the unknown,
I craft success out of uncertainty”

PROFESSIONAL PROFESSIONAL EXPERIENCE
FOCUS
HeyML 2019-01 - 2019-12
Mathematics Machine Learning Engineer
Data Storytelling Led the development of a real-time game assistant microservice, optimizing
Model Explanation Tools machine learning frameworks and code to address FPS and hardware
Cluster Analysis limitations.
Built microservices using Flask-SocketIO, designed for Windows compatibility
A/B Testing
with a user-friendly PyQt-based GUI.
Delivered a robust, real-time solution tailored to demanding technical
constraints.
PERSONAL
Jazzros 2018-06 - 2018-12
COMPETENCIES
Machine Learning Engineer
Goal-Oriented Problem Directed an advanced image segmentation project leveraging sonar
Solving technology, overcoming complex data challenges.
Implemented and enhanced algorithms from scientific research to achieve
Analytical Thinking
high-precision results in image processing.
Collaboration-First Approach Delivered innovative solutions for segmentation accuracy in a technically
Innovative Thinking demanding environment.
Leadership and Mentorship

EDUCATION
ACHIEVEMENTS
2015 - 2018
Optimised A/B Testing: Shortened test durations by over 20%,
Aircraft Control Systems
enhancing efficiency and expediting decision-making processes.
National Aerospace University,
Kharkiv
LTV Prediction Model: Designed a model that reduced marketing costs
Bachelor of Science
by up to 15%.
2011 - 2015 Conversion Rate Improvement: Boosted insurance policy purchase
Operation of Aviation Electrified conversion rates by up to 25%.
Complexes
Kremenchuk Flight College , Mentorship: Guided and mentored trainees, fostering skill development
Kremenchuk and team growth.
Associate's Degree
End-to-End Project Execution: Delivered full-stack projects from data
analysis to modelling, backend development, and containerisation.

LANGUAGES Research & Development: Contributed to cutting-edge R&D initiatives
and edge device projects.
Ukrainian (Native)
Algorithm Development: Implemented algorithms inspired by scientific
Russian (Native) papers, translating research into practical applications.
English (Upper-Intermediate)
Open Data Science Contribution: Contributed to the open data science
community through impactful projects and collaborations.