About Me
Machine Learning Engineer with experience in designing, developing, and deploying machine learning and deep learning models for product recommendations, customer segmentation, personalized marketing, and radius-based sea…
Machine Learning Engineer with experience in designing, developing, and deploying machine learning and deep learning models for product recommendations, customer segmentation, personalized marketing, and radius-based search. Experienced in data retrieval and automation using PySpark and AWS, big data management, and applied analytics across projects involving recommendation systems, healthcare imaging, and geospatial analysis.
Experience
Machine Learning Engineer
Machine Learning and Deep Learning: Collaborate with data scientists and analysts to understand requirements for machine learning (ML) and deep learning (DL) models. Design, develop, and deploy ML/DL models for tasks such as
product recommendations, customer segmentation, and personalized marketing.
Data Retrieval and Automation: Develop and maintain automated data retrieval processes using PySpark for large-scale datasets in AWS. Implement efficient data extraction, transformation, and loading (ETL) workflows for seamless integration with various databases. Big Data Management: Work with databases containing billions of records, optimizing queries and ensuring efficient data storage and retrieval. Design and implement data models that support segmentation and industry-based data retrieval.
Radius Search: Develop and optimize algorithms for performing radius-based searches on geographical data. Implement solutions for efficiently retrieving and processing data related to more than 300 locations simultaneously
Machine Learning and AI Engineer
Collaborate with data scientists and analysts to understand requirements for machine learning and deep learning models.
Design, develop, and deploy machine learning and deep learning models for tasks such as product recommendations, customer segmentation, and personalized marketing.
Develop and maintain automated data retrieval processes using PySpark for large-scale datasets in AWS.
Implement efficient data extraction, transformation, and loading workflows for seamless integration with various databases.
Work with databases containing billions of records, optimizing queries and ensuring efficient data storage and retrieval.
Design and implement data models that support segmentation and industry-based data retrieval.
Develop and optimize algorithms for performing radius-based searches on geographical data.
Implement solutions for efficiently retrieving and processing data related to more than 300 locations simultaneously.
Instructor
Applied advanced Excel functions and formulas, such as VLOOKUP, INDEX-MATCH, and conditional formatting, to automate data entry, validation, and calculations, resulting in a 50% reduction in manual data processing time.
Worked closely with final-year students, offering guidance and expertise in their data analysis endeavors.
Leveraged technical skills, including simulations using Ansys Fluent and analytical calculations.
Actively contributed to curriculum development, shaping programs that align with the evolving needs of the industry.