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Canvas

Oleksandr
Akimenko

Data Scientist

About
Canvas

About

I do art – whether it’s in a Jupyter notebook, production codebase, presentation or anywhere else.

 

The best decisions are shaped around goals, not vice versa. Anything can be mastered – one who seeks always finds.

Experience

Experience

TD Bank

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Pairenthesis

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J&J (Kenvue)

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GiftMeThat

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Media and Marketing Analytics team

Led development of AI data analytics platform, landing demos with top YC start-ups and leading Toronto universities

Built ML model that improved supply chain accuracy core metric by 18% and analyzed data, with insights presented to 1,400+ professionals

Developed a product recommendation engine with features extracted from unstructured data, improving experience of 500+ users daily

Data Scientist Intern

Data Scientist Intern

Data Scientist Intern

Data Scientist Intern

Education

Education

University of Manitoba

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Bachelor's of Science in Statistics

Minors in Computer Science and Management

​Relevant Coursework

Statistical Inference

Stochastic Processes

Stanford University

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Machine Learning Specialization

Duke University

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Managing ML Projects and Data Visualization 

Google

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ML, Analytics and Data Engineering

IBM

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Data Science and ML

Statistical Testing

Object Oriented Programming

Data Structures and Algorithms

Simulation Models for OPM

Quantitative Analysis

University of Michigan

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Network Analysis

and Database Design

DeepLearning.AI

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ML in Production and Deep Leaning

Projects

Projects

UFC ML Betting Algorithm 🥊

  • Built ETL pipeline that scrapes data from 5 sources, performs cleaning and feature engineering

  • Trained an ensemble of ML models, achieving 83% accuracy and 88% F1 score for a low-risk tolerance setting

  • Collaborated with and received mentorship from a Director of Data Science at Mastercard

LeetTutor 🎓

  • Co-developed an AI-driven studying platform with a fellow student

  • Engineered Flask API, driving core AI and data management functionalities like file preprocessing, summarization, storage, quiz generation, and instant assessment

       
       Blog Post

PicoGPT 🤖

  • Developed and trained a tiny version of GPT from scratch using PyTorch

  • Implemented inference features, mirroring ChatGPT functionality


        Code

AI Artist 🎵

  • Designed and trained a Deep Learning model to generate musical compositions

  • Leveraged 111 instruments, enabling creation of diverse compositions across multiple genres

Recipe Generator 🍳

  • Developed a platform to generate fast and healthy recipes based on ingredients and time constraints


       Demo

LearnDataScience Bot 🧑🏻‍🏫

  • Crafted a free learning resource for aspiring Data Scientists, by scraping and analyzing more than 5000 recordings from 9 leading YouTube channels in the industry

  • ​Designed and launched the Telegram Bot with organized content for efficient acquisition of essential Data Science skills


       Code

Skills

Skills

Tools

Languages: Python, SQL, R, Java, C++
 
Data Manipulation: NumPy, Pandas, Apache Spark (PySpark, SparkSQL), PostgreSQL, MySQL
 
ML and Stats: Scikit-Learn, LightGBM, SciPy, PyTorch, TensorFlow, Keras, NetworkX, NLTK, spaCy
 
Analytics and Infra: Matplotlib, Seaborn, Power BI, Tableau, Databricks, GCP, Azure AI, FastAPI, Git, GitHub

Learn

Act

Topics

Causal Inference

Statistical Experimentation

Machine Learning

Big Data Preprocessing and Analytics

Effective Communication

Simplify

Contact

Contact

Email 

Connect

  • LinkedIn
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