Extensive experience in data engineering and machine learning model development for forecasting, anamoly
detection, drift detection and classification of geospatial time-series data, text data (unstructured), and weather…
Extensive experience in data engineering and machine learning model development for forecasting, anamoly
detection, drift detection and classification of geospatial time-series data, text data (unstructured), and weather data (structured). Adept at building proofs-of-concept, integrating mixed data sources, and driving machine learning model development to create impactful products.
Machine learning model development for ocean data analysis enhancing advisor tools for data-driven decision-making.
Developed data pipelines, integrating recommendation systems for data repositories, improving operational efficiency by 50%.
Collaborated with domain experts and non-technical stackholders to enhance data proessing and understanding the objective.
Developed local Retrieval Augmented Generation agent (RAG) agent to extract and process metadata from dataset manuals.
Performed statistical analysis of user access logs, enabling actionable insights for catalog improvements.
Maintained, created test cases (A/B Testing), and improved current code function libaries using Git, CI/CD, and data validation techniques.
Machine learning model development for ocean data analysis, Developed data pipelines integrating recommendation systems, Collaborated with domain experts and non-technical stakeholders, Developed local Retrieval Augmented Generation agent (RAG) agent, Performed statistical analysis of user access logs, Maintained and improved current code function libraries
Transformer deep learning large language model development to forecast ships locations and achieved 85%> accuracy and reducing forecasting errors.
Integrated multi-source data (AIS, weather, ocean biophysical data) to perform advanced analytics, providing actionable insights to stakeholders.
Real-time monitoring and anomaly detection, significantly improving data usability and decision-making efficiency.
Enhancing data quality, implementing outlier detection, duplicate checks, and validation methods.
Building runbooks and documentation for API usage.
Transformer deep learning large language model development, Integrated multi-source data for advanced analytics, Real-time monitoring and anomaly detection, Enhancing data quality, Building runbooks and documentation for API usage
Machine learning model development for classification and grouping unstructured short-text stream clustering using non-parametric Dirichlet processes to detect evolving text data patterns.
Feature engineering of unstructed text data to extract semantics and contextual dependency to improve text similarity indexing and developed interpretable ML model experiments for dynamic data environments.
Generated 0.1M$ project funding for the supervisor.
Applied deep learning models to enhance text embeddings for evolving vocabularies, supporting NLP-based solutions.
Machine learning model development for classification and grouping unstructured short-text stream clustering, Feature engineering of unstructured text data, Generated project funding for the supervisor, Applied deep learning models for text embeddings
Java web and desktop application development with MVC frameworks including Spring, Hibernate, japer report, crystal report and Struts.
Optimizing SQL queries, database communication, designing query framework.
Java web and desktop application development, Database optimization and query frameworks
Java desktop application development for student admission system.
Designing algorithms for admission selection based on complex catalog criteria.
Front-end and back-end programming for student admisison form.
Data migration.
Optimizing SQL queries, JDBC database communication, fee management.
Java desktop application development, Designing algorithms for admission selection, Front-end and back-end programming for student admission form, Database optimization and fee management
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