Data Scientist | ML Engineer - 20020

Размещено больше 30 дней назад

Специализация: Python

Открыт для офферов

3 000 $

Узбекистан

Ургенч

2 года

Advanced/Fluent

Рассмотрение вариантов

Работа в офисе на полный рабочий день

Частичная занятость

Удаленная работа (полный рабочий день)

Фриланс (одноразовые проекты)

Переезд в другой город

Переведено Google

Data Scientist с двухлетним опытом работы и сильной страстью к машинному обучению, глубокому обучению, оптимизации и обработке естественного языка. Обладая опытом в области финансов и консалтинга, дополненным проверенным опытом развертывания прогнозных моделей, оптимизации процессов, а также профессиональными навыками Python, R и облачных вычислений. Опыт работы с платформами оценки и подбора сотрудников, умение извлекать информацию из сложных временных рядов, панельных и текстовых данных.

Образование

University of Bonn

Магистр. Факультет: Economics

Специальность: Econometrics and Statistics

Октябрь 2020

Опыт

Data Scientist

Candidate select gmbh

Январь 2023 - Июль 2023

Developed and deployed machine learning and NLP models, including text classification, feature extraction, question answering, and named entity recognition to predict applicant competence based on background, university grades, and assessment scores
Conducted quantitative analysis to optimize the hiring and candidate evaluation processes, leading to 5% increase in hiring efficiency and candidate suitability
Scraped and processed several thousands of rows of data using Selenium and pandas, enhancing data matching and merge quality by 10%
Performed ETL (Extract, Transform, Load) operations on diverse data sources to preprocess and clean data, significantly improving data quality and consistency
Achieved a 5 to 10% increase in prediction accuracy by retraining existing models on AWS SageMaker with improved and updated data quality, utilized AWS services, such as SageMaker, Lambda, and S3 to manage and maintain machine learning models efficiently
Implemented MLflow for model tracking, versioning, and collaboration, ensuring reproducibility and transparency in the model development process

Teaching assistant

Institute of Finance and Statistics

Март 2022 - Январь 2023

Assisted in Effective Programming Practices and Computational Statistics classes as a teaching assistant, providing guidance to students in understanding course material and assignments
Facilitated GitHub Classroom to streamline the submission and evaluation of exercises and projects, ensuring an organized and efficient learning process
Conducted code reviews to offer constructive feedback and promote best practices in programming and statistical analysis

Junior Data Scientist

Express 24

Май 2019 - Сентябрь 2020

Conducted A/B tests to assess feature impact, analyzed results, and informed cross-functional teams
Uncovered data patterns through EDA, visualized insights, and aided strategic decision-making.
Preprocessed data using Python and pandas, addressing missing values and anomalies for analysis readiness.
Developed personalized pricing models incorporating factors like distance, time of day, customer behavior, taste preferences, and more for accurate and dynamic pricing strategies.

Навыки

Data Science - 2 года

Machine Learning - 3 года

Statistical analysis - 2 года

Похожие кандидаты