Data Scientist | ML Engineer - 20020

Posted more than 30 days ago

Specialization: Python

Open to offers now

3 000 $

Uzbekistan

Urganch

2 years

Advanced/Fluent

Considering options

Full-time office work

Part-time work

Remote work (full-time)

Freelance (one-time projects)

Relocate

Data Scientist with 2 years of experience and a strong passion for Machine Learning, Deep Learning, Optimization, and Natural Language Processing. With domain expertise in finance and consulting, complemented by a proven track record in deploying predictive models, process optimization, and proficient Python, R, and cloud computing skills. Proficient in employee assessment and recruitment platforms, adept at extracting insights from complex time series, panel, and text data.

Education

University of Bonn

Master. Faculty: Economics

Specialty: Econometrics and Statistics

October 2020

Experience

Data Scientist

Candidate select gmbh

January 2023 - July 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

March 2022 - January 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

May 2019 - September 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.

Skills

Data Science - 2 years

Machine Learning - 3 years

Statistical analysis - 2 years

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