Mycollegebuddy is a small and concise initiative towards a giant vision of transforming the education system in India- Building a network of various experts in different fields across India to connect to the students in need.

 Collaborated with cross-functional teams to enhance system efficiency and effectiveness through data-driven insights and machine learning algorithms Analyzed complex datasets using AWS, Spark and Airflow for efficient data processing and workflow management Clearly articulated research hypotheses, decisions, and results, supporting automated decision-making algorithms Trained and evaluated ML models to optimize performance and accuracy, contributing to data-driven strategies… Show more  Collaborated with cross-functional teams to enhance system efficiency and effectiveness through data-driven insights and machine learning algorithms Analyzed complex datasets using AWS, Spark and Airflow for efficient data processing and workflow management Clearly articulated research hypotheses, decisions, and results, supporting automated decision-making algorithms Trained and evaluated ML models to optimize performance and accuracy, contributing to data-driven strategies and decision-making processes Utilized streaming data technologies to enable real-time data analysis, enhancing efficiency and performance Implemented MLOps with Docker, Kubernetes, and Airflow to streamline algorithm deployment and optimize automated decision-making in programmatic exchanges Show less

 Performed data retrieval from over 1,000 technical PDFs related to electronic devices, extracting key information such as electrical specifications and device types Developed and applied rule-based models to structure initial data extraction and annotated data to identify relevant entities and improve training datasets Built and fine-tuned initial Named Entity Recognition (NER) models using BERT for accurate classification and extraction of technical details Leveraged large… Show more  Performed data retrieval from over 1,000 technical PDFs related to electronic devices, extracting key information such as electrical specifications and device types Developed and applied rule-based models to structure initial data extraction and annotated data to identify relevant entities and improve training datasets Built and fine-tuned initial Named Entity Recognition (NER) models using BERT for accurate classification and extraction of technical details Leveraged large language models (LLMs), including LLaMAIndex, to enhance data extraction, interpretation, and understanding of unstructured document data Show less

 Provided logical and physical data modeling, data profiling, and data mapping support for Logical DataModel and Enterprise Data Warehouse projects Conducted in-depth assessments, interpreting patterns and trends, while elevating data quality through data wrangling and cleaning with numpy, pandas, and scipy Engineered ETL pipelines utilizing Apache Hop to move data from various sources into the data warehouse Executed precise data mapping between source systems and… Show more  Provided logical and physical data modeling, data profiling, and data mapping support for Logical DataModel and Enterprise Data Warehouse projects Conducted in-depth assessments, interpreting patterns and trends, while elevating data quality through data wrangling and cleaning with numpy, pandas, and scipy Engineered ETL pipelines utilizing Apache Hop to move data from various sources into the data warehouse Executed precise data mapping between source systems and warehouses, optimizing data flow efficiency Created conceptual, logical, and physical data models using Power BI Data Modeler Created Power BI reports and dashboards, integrating data from various sources and publishing them on the Power BI Service Proficient in developing custom solutions and integrations using Microsoft Dynamics 365 platform Show less

 Developed customized ETL solutions based on complex business models following the best practices Collaborated with Clients to analyze business requirements, translating them to data architecture projects using dbt Coordinated statistical data analysis, design, and information flow for efficient data processing Developed complex database processes with PL/SQL, containing batch or ETL functionality with Informatica Performed data profiling on existing data sources in… Show more  Developed customized ETL solutions based on complex business models following the best practices Collaborated with Clients to analyze business requirements, translating them to data architecture projects using dbt Coordinated statistical data analysis, design, and information flow for efficient data processing Developed complex database processes with PL/SQL, containing batch or ETL functionality with Informatica Performed data profiling on existing data sources in Teradata and PostgresSQL Server environments Worked with SQL loader and control files to load the data in different schema tables Developed and enhanced a DataMart in an OLAP schema implementing advanced data modeling techniques Created sequences, Triggers, indexes, constraints and views as part of a physical data model Show less