Experienced Data Scientist skilled in Machine Learning, Artificial Intelligence, Computer Vision, Data analysis and Visualization, Python, Neo4J, and Time Series Analysis. With over 6 years of hands-on experience, I brin…
Experienced Data Scientist skilled in Machine Learning, Artificial Intelligence, Computer Vision, Data analysis and Visualization, Python, Neo4J, and Time Series Analysis. With over 6 years of hands-on experience, I bring expertise in building robust predictive models and extracting actionable insights from complex datasets. My ability to deliver impactful solutions aligns perfectly with company goals, driving innovation and maximizing business value. Additionally, I am seeking fully remote opportunities globally to further contribute to cutting-edge projects.
Working for remote clients based in USA, LA, and Turkey.
Working on Python backend development and Generative AI.
Overseeing Python backend development projects.
Specializing in Generative AI solutions.
Ensuring effective collaboration and problem-solving.
Delivering high-quality, tailored solutions to meet client requirements.
Managing project timelines, resources, and budgets effectively.
Providing guidance and mentorship to team members, fostering their professional growth and development.
Working for remote clients based in USA , LA, and Turkey. Working on Python
Backend development and Generative AI
Overseeing Python backend development projects.
•
•
Specializing in Generative AI solutions.
•
Ensuring effective collaboration and problem-solving.
•
Delivering high-quality, tailored solutions to meet client requirements. Managing
project timelines, resources, and budgets effectively.
•
Providing guidance and mentorship to team members, fostering their professional
growth and development.
Tech Stacks: Data Science, Machine Learning, Artificial Intelligence, NLP, Python,
Neo4j, Generative AI, AWS, MySQL
Spearheaded the development of Y-Hat, an automated time series forecasting tool.
Managed end-to-end project execution, overseeing data preprocessing, feature engineering, model training, and one-click deployment functionalities.
Led a team, ensuring alignment with client requirements and fostering innovation in forecasting solutions.
Directed the development of Y-Hat, orchestrating tasks, timelines, and resource allocation to deliver a robust forecasting tool.
Leveraged data science expertise to optimize data preprocessing, feature engineering, and model selection processes for accurate forecasting outcomes.
Implemented deployment features, allowing seamless deployment of optimal models with minimal user intervention.
Led and motivated a multidisciplinary team, providing guidance, mentorship, and support to achieve project goals.
Collaborated with stakeholders to understand requirements, prioritize features, and ensure Y-Hat met client expectations.
Conducted rigorous testing and validation to maintain the tool's performance, reliability, and scalability.
Contributed to team growth and development by fostering a culture of innovation, learning, and continuous improvement in data science methodologies and techniques.
Developed proof-of-concepts (POCs) for crypto and power price forecasting.
Automated machine learning processes for classification, regression, and time series analysis in the company's product.
Conducted research and analysis to design and implement POCs for crypto and power price forecasting, demonstrating feasibility and potential value.
Collaborated with cross-functional teams to integrate automated machine learning processes into the product, enhancing efficiency and scalability.
Utilized statistical techniques to analyze data and derive insights, informing decision-making and strategy development.
Developed algorithms and models for classification, regression, and time series analysis, optimizing performance and accuracy.
Conducted thorough testing and validation to ensure reliability and robustness of forecasting models and automated processes.
Provided technical expertise and support to stakeholders, facilitating understanding and adoption of data-driven solutions.
Contributed to product development, outsourced projects, and eBay's hierarchical system.
Specialized in distributed computing, time series prediction, Numenta technology, graph databases, and live video stream analysis.
Led the implementation of machine learning solutions tailored to client needs while providing technical leadership and mentorship.
Spearheaded the development of machine learning algorithms for time series prediction, leveraging expertise in distributed computing techniques.
Implemented Numenta's Hierarchical Temporal Memory technology, optimizing model performance and accuracy for complex data patterns.
Managed eBay's hierarchical system within graph databases, ensuring efficient data storage, retrieval, and analysis.
Collaborated with cross-functional teams to define project requirements and design machine learning solutions tailored to client needs.
Conducted research and experimentation to enhance live video stream analysis capabilities, integrating real-time insights for actionable decision-making.
Contributed to the architecture and design of distributed file systems, enhancing scalability and performance for large-scale data processing.
Provided technical leadership and mentorship, guiding team members in the adoption of emerging technologies and best practices in machine learning engineering.
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