07/05/2021 updated

IS
100 % available

Data analyst, data scientist

Russian Federation
Russian Federation
Russian Federation
Russian Federation

HTMLAnalytical ThinkingData AnalysisCascading Style Sheets (CSS)Data ProcessingWeb DevelopmentDjangoGitHubR (Programming Language)Statistical Hypothesis TestingJSONPython (Programming Language)PostgreSQLLinear AlgebraMachine LearningMathematicsNLTK (NLP Analysis)Node.jsNumerical AnalysisNumPyTransformers (Electrical)SQL DatabasesStatisticsTime SeriesWeb ApplicationsExtensible Markup Language (XML)Data ScienceKaggleBackendpandasHardworking and DedicatedFront End Software DevelopmentBenevolentCuriosity
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.

Languages

EnglishGoodRussianFluent

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