Keywords
Skills
Work experience 2 years 5 months
March 2021 - present
5 months
Transport Research Center
Development engineer
Development and support of web applications.
Main goals:
-Development of the Frontend.
-Development of the Backend.
- Data analysis and SQL queries.
- Create JSON tables
Technological stack:
JS, NodeJS, SQL, PostgreSQL, HTML, CSS, XML, JSON
September 2020 - April 2021
8 months
Yandex.Practicum
Data Science Specialist
Main goals:
- Fundamentals of Python programming and data processing.
- Exploratory data analysis.
- Statistical data analysis, hypothesis testing.
- Supervised Machine Learning and Business Machine Learning (training and model tuning).
- Numerical Methods and Time Series
- Machine learning for texts and work with SQL databases
Projects:
** Train the model to classify comments as positive and negative. **
- Completed data preprocessing.
- Conducted exploratory data analysis.
- Built and trained several machine learning models.
- The models were compared and the model was checked for adequacy.
- Technology stack: pandas, numpy, sklearn, nltk, sklearn, pymystem3, re, tqdm, torch, transformers.
- GitHub: https://github.com/limenbah/Wikishop
** Choosing a location for drilling wells of an oil company using machine learning methods using the bootstrap technique. **
- Data preprocessing has been completed.
- Conducted exploratory data analysis.
- Built and trained several machine learning models.
- The models were compared and the model was checked for adequacy.
- Technology stack: pandas, numpy, sklearn, GridSearchCV.matplotlib, GridSearchCV.
- GitHub: https://github.com/limenbah/Location-for-a-well
** Domestic airline ticketing analytics to map passenger preferences and demand for air travel using SQL data extraction tools **
- Data preprocessing has been completed.
- Conducted exploratory data analysis.
- Built and trained several machine learning models.
- The models were compared and the model was checked for adequacy.
- Technology stack: SQL, pandas, numpy, sklearn, GridSearchCV.matplotlib, GridSearchCV.
- GitHub: https://github.com/limenbah/Analytics-in-the-airline
March 2019 - February 2021
2 years
profi.ru
Moscow
Tutor
- Website development using the python framework Django
- Help with ML coursework
- Linear algebra
- Discrete Math
- Statistics
Technological stack:
C #, JS, HYML, CSS, Python, Django, SQL, NumPy, R
GitHub profile: https://github.com/limenbah
Kaggle profile: https://www.kaggle.com/sibirtsevivan
Telegram: @USNation
Skype: n555s77
E-mail: i555s7@yandex.ru
Looking for a job with a career perspective in the field of Data Science
I develop intensively, study independently, on various platforms, attend meetups in the field of Data Science.
I have an analytical mindset, I pay attention to small details, I am curious and benevolent, not irritable, responsible, I am conscientious about completing tasks and their deadlines.
March 2021 - present
5 months
Transport Research Center
Development engineer
Development and support of web applications.
Main goals:
-Development of the Frontend.
-Development of the Backend.
- Data analysis and SQL queries.
- Create JSON tables
Technological stack:
JS, NodeJS, SQL, PostgreSQL, HTML, CSS, XML, JSON
September 2020 - April 2021
8 months
Yandex.Practicum
Data Science Specialist
Main goals:
- Fundamentals of Python programming and data processing.
- Exploratory data analysis.
- Statistical data analysis, hypothesis testing.
- Supervised Machine Learning and Business Machine Learning (training and model tuning).
- Numerical Methods and Time Series
- Machine learning for texts and work with SQL databases
Projects:
** Train the model to classify comments as positive and negative. **
- Completed data preprocessing.
- Conducted exploratory data analysis.
- Built and trained several machine learning models.
- The models were compared and the model was checked for adequacy.
- Technology stack: pandas, numpy, sklearn, nltk, sklearn, pymystem3, re, tqdm, torch, transformers.
- GitHub: https://github.com/limenbah/Wikishop
** Choosing a location for drilling wells of an oil company using machine learning methods using the bootstrap technique. **
- Data preprocessing has been completed.
- Conducted exploratory data analysis.
- Built and trained several machine learning models.
- The models were compared and the model was checked for adequacy.
- Technology stack: pandas, numpy, sklearn, GridSearchCV.matplotlib, GridSearchCV.
- GitHub: https://github.com/limenbah/Location-for-a-well
** Domestic airline ticketing analytics to map passenger preferences and demand for air travel using SQL data extraction tools **
- Data preprocessing has been completed.
- Conducted exploratory data analysis.
- Built and trained several machine learning models.
- The models were compared and the model was checked for adequacy.
- Technology stack: SQL, pandas, numpy, sklearn, GridSearchCV.matplotlib, GridSearchCV.
- GitHub: https://github.com/limenbah/Analytics-in-the-airline
March 2019 - February 2021
2 years
profi.ru
Moscow
Tutor
- Website development using the python framework Django
- Help with ML coursework
- Linear algebra
- Discrete Math
- Statistics
Technological stack:
C #, JS, HYML, CSS, Python, Django, SQL, NumPy, R
GitHub profile: https://github.com/limenbah
Kaggle profile: https://www.kaggle.com/sibirtsevivan
Telegram: @USNation
Skype: n555s77
E-mail: i555s7@yandex.ru
Looking for a job with a career perspective in the field of Data Science
I develop intensively, study independently, on various platforms, attend meetups in the field of Data Science.
I have an analytical mindset, I pay attention to small details, I am curious and benevolent, not irritable, responsible, I am conscientious about completing tasks and their deadlines.
Project history
Local Availability
Only available in these countries:
Russian Federation