07/23/2024 updated
VB
100 % available
AI/ML Engineer/ Data scientist
Chernivtsi, Ukraine
Worldwide
BS in Computer ScienceRESTful API Modeling LanguageJava (Programming Language)A/B TestingAgile MethodologyArtificial IntelligenceAmazon Web ServicesData AnalysisMicrosoft AzureBig DataC++ (Programming Language)Computer EngineeringData VisualizationR (Programming Language)Apache HadoopPython (Programming Language)
A/B testing, Agile, AWS, Hadoop, Kafka, Spark, AI, Big Data Technologies, large datasets, C++, Computer Engineering, exploratory data analysis, data visualizations, Deep Learning, LSTM, Docker, text classification, feature engineering, Git, Java, Jupyter, Keras, machine learning, machine learning algorithms, Matplotlib, Azure, NoSQL, NumPy, Pandas, Programming languages, Python, PyTorch, R, RESTful APIs, SQL, Scikit-learn, Agile/Scrum, Scrum, sentiment analysis, Software Development Methodologies, speech recognition, TensorFlow
Experience
Professional experience5 - 10 years
Freelancer since2024
Languages
GermanFluentEnglishFluent
Project history
-Developed and deployed machine learning models to enhance
predictive analytics capabilities, increasing forecast accuracy by 20%.
-Collaborated with data scientists and software engineers to design
and implement end-to-end ML pipelines.
-Conducted exploratory data analysis (EDA) and feature engineering
to improve model performance.
-Deployed ML models on cloud platforms (AWS, Azure) to ensure
scalability and reliability.
-Presented technical findings to stakeholders and provided
actionable recommendations based on data insights.
predictive analytics capabilities, increasing forecast accuracy by 20%.
-Collaborated with data scientists and software engineers to design
and implement end-to-end ML pipelines.
-Conducted exploratory data analysis (EDA) and feature engineering
to improve model performance.
-Deployed ML models on cloud platforms (AWS, Azure) to ensure
scalability and reliability.
-Presented technical findings to stakeholders and provided
actionable recommendations based on data insights.
-Designed and implemented deep learning models for image and
speech recognition tasks, achieving 95% accuracy in classification
tasks.
-Worked on natural language processing (NLP) projects, including
sentiment analysis, text classification, and entity recognition.
-Optimized ML algorithms for performance and scalability, reducing
training time by 30%.
-Automated data collection and preprocessing workflows, enhancing
data quality and consistency.
-Mentored junior engineers and conducted training sessions on best
practices in machine learning and data science.
speech recognition tasks, achieving 95% accuracy in classification
tasks.
-Worked on natural language processing (NLP) projects, including
sentiment analysis, text classification, and entity recognition.
-Optimized ML algorithms for performance and scalability, reducing
training time by 30%.
-Automated data collection and preprocessing workflows, enhancing
data quality and consistency.
-Mentored junior engineers and conducted training sessions on best
practices in machine learning and data science.
-Developed statistical models and machine learning algorithms to
analyze large datasets and extract meaningful insights.
-Utilized clustering, regression, and classification techniques to solve
business problems.
-Created interactive data visualizations and dashboards to
communicate findings to non-technical stakeholders.
-Implemented A/B testing frameworks to evaluate the impact of
data-driven decisions.
-Collaborated with cross-functional teams to integrate ML solutions
into existing systems.
analyze large datasets and extract meaningful insights.
-Utilized clustering, regression, and classification techniques to solve
business problems.
-Created interactive data visualizations and dashboards to
communicate findings to non-technical stakeholders.
-Implemented A/B testing frameworks to evaluate the impact of
data-driven decisions.
-Collaborated with cross-functional teams to integrate ML solutions
into existing systems.