Oleksandr

OLEKSANDR SMYRNOV
Data Scientist
E [открыть контакты](см. выше в блоке «контактная информация»)  [открыть контакты](см. выше в блоке «контактная информация»)  Odessa, Ukraine

SUMMARY SKILLS
Data scientist with 0.5 years of commercial and 1 year of non-commercial experience Programming languages and patterns
in Python development and machine learning, expert in Pandas, and experienced in
NoSQL and SQL databases. My key achievements include developing a video games Python 3.11 REST API OOP
database website with FastAPI and PostgreSQL, and achieving 90% accuracy in
predicting body activities using RandomForestClassifier model. Seeking a Data Scientist
position at DataForest, where I can apply my Python and machine learning skills to Databases
create data-driven solutions and support the company's mission.
PostgreSQL MariaDB MongoDB Redis
EXPERIENCE
Django ORM SQLAlchemy
Python Developer
NDA Startup 07/2023 - 01/2024
Additional
Video games database with social features
• Developed a backend for a database website with FastAPI, PostgreSQL and Redis. Docker Linux Web Scrapping
Technical Support in the Hosting Department
Namecheap 10/2021 - 06/2023 Machine Learning
Renowned provider of hosting and domain services.
Deep Learning NumPy Tensorflow
• Assisted clients in English with web and hosting services with positive feedback
above average in the company.
Sklearn Pandas Matplotlib + Seaborn
EDUCATION
Jupyter Notebook Implementing models
Python Web and Data Science
GoIT (Kyiv) 11/2022 - 08/2023
Reinforcement learning Supervised learning
• Practiced Sklearn, TensorFlow, NumPy, Pandas, data visualization/preprocessing
and feature engineering in 3 projects.
• Obtained foundational knowledge on Machine Learning, Data Science and Deep Unsupervised learning Data preprocessing
Learning, including supervised, unsupervised and reinforcement learning, including
technics and models. Feature engineering Clusterization
• Learned to develop advanced RESTful APIs with Python, FastAPI and Django in 4
projects.
Data Analysis Classification Regression
• Worked with SQL and NoSQL databases like PostgreSQL, MariaDB, MongoDB, Redis.
• Used raw SQL and ORM like SQLAlchemy and Django ORM.

Bachelor of Electrical Engineering SOFT SKILLS
Kherson National Technical University 2016 - 2018
* Taking personal responsibility
PERSONAL PROJECTS

Body Activity Analyzer
 Calm and empathic demeanor
Predicting the current activity of a person by an accelerometer data
• Preprocessed 6482 time series with body activity measurements
• Engineered 15 most useful time domain and frequency domain features for  Strong critical and analytical reasoning
prediction
• Used RandomForestClassifier model as the most effective with K-Fold Cross-
Validation and achieved 90% accuracy LANGUAGES
English B2
Handwritten Digit Recognizer
Recognizes Paint-made pictures with digits Ukraininan Native
• Simple Flask server with a convolutional ANN
• Used MNIST dataset and achieved considerable accuracy
• Images preprocessed with OpenCV
• You can check this project at Kaggle:
https://www.kaggle.com/code/amarakheo/notebook20a06ac1f7