Alex

Data scientist

Employment type: full-time, part-time
Age: 31 years
City of residence: Kyiv
Ready to work: Kyiv, Remote
Employment type:
full-time, part-time
Age:
31 years
City of residence:
Kyiv
Ready to work:
Kyiv, Remote

Contact information

The job seeker has entered a phone number , email and LinkedIn.

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Work experience

Data scientist/analyst, Kaggle Competition Expert

from 02.2023 to now (3 years)
Kaggle, Київ (IT)

Some projects:

"House Prices - Advanced Regression Techniques" - Kaggle Competition Description:
Predicted the final price of residential homes in Ames, Iowa using advanced regression techniques. Conducted exploratory data analysis, data processing, and modeling, including cross-validation and stacking.
Skills Used: EDA, Data Processing, Modeling (Lasso, ENet, KRR, GBoost, XGBoost, LightGBM), Feature Engineering.

"Deep Q-Learning - Lunar Lander" - Coursera Project Description:
Implemented a Deep Q-Learning algorithm to safely land a lunar lander using OpenAI's GymLibrary. Employed Target Network and Experience Replay techniques.
Skills Used: Deep Reinforcement Learning, Python, OpenAI Gym, Neural Networks.

"Winning Space Race" - Coursera Capstone Project Description:
Predicted the success of rocket launches, like SpaceX missions, through data collection, wrangling, exploratory data analysis, and predictive analysis using machine learning models.
Skills Used: Data Collection, Data Wrangling, Data Visualization, Predictive Analysis.

"Flower Classification with TPUs" - Kaggle Competition Description:
Identified the type of flowers in a dataset of images using distribution strategies, data loading, augmentation, and deep learning models. Employed ensemble techniques for improved predictions.
Skills Used: Deep Learning, TensorFlow, TPUs, Image Classification, Data Augmentation.

"Neural Translation Model" - Coursera Capstone Project Description:
Developed a neural translation model from English to German, including text preprocessing, data preparation, and custom model training using TensorFlow.
Skills Used: Natural Language Processing, Neural Networks, TensorFlow.

Education

University

Engineering specialty, Earth
Higher, from 1945 to 1950 (5 years)

Additional education and certificates

2021

2023

2023

2023

2023

2023

2023

2023

2023

2024

2024

2024

Knowledge and skills

  • Data Cleaning
  • Data visualization
  • Machine learning
  • Critical thinking
  • Communicability
  • Tech-savvy
  • MS Excel
  • SQL
  • MS Power BI
  • Python
  • MySQL
  • Pandas
  • Tableau
  • Power Query
  • Power Pivot
  • Looker Studio
  • Statistica
  • Seaborn

Language proficiencies

English — average

Additional information

A dedicated and highly motivated professional with a strong interest in data science and AI. Possesses a solid foundation in Python, SQL, and various data science libraries, along with hands-on experience in conducting data analysis, modeling, and deep learning projects. Seeking opportunities as a Data Scientist, Data Analyst, or ML Engineer to apply skills in solving complex real-world problems.

Portfolio: https://github.com/Nazalekser/portfolio

The preferred method of initial contact is via email or linkedin.

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