Omkar Sadekar

Omkar Sadekar

Data Analyst

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location of Omkar SadekarNew York, New York, United States

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  • Timeline

  • About me

    Data Scientist | Analytics Engineer | CX, IT (SaaS) & Healthcare | Python Developer | SQL | NLP | Specializing in Data Modeling, Statistics, AI/ML Operations & Data Visualization

  • Education

    • Vishwakarma Institute Of Technology

      2017 - 2021
      Bachelor of Technology - BTech Engineering (Data Science Specialization)

      Coursework: Database Management Systems, Data Structures and algorithms, Natural Language Processing, Deep Learning, Computer Vision.

    • Northeastern University

      2022 - 2024
      MS Analytics and Statistical Modeling Data Modeling/Warehousing and Database Administration 3.7

      Concentration: Statistical ModelingCoursework: Data Warehousing and SQL, Data Mining, Analytics Systems Technology and Python, Data Management and Big Data, Predictive Analytics, Data Visualization, Fundamentals of AI, Business Intelligence and Decision Support, Probability Theory and Statistics

  • Experience

    • 9Gen Studios | Brand Communication Company

      Jan 2020 - Jun 2022
      Data Analyst

      - Implemented robust data validation using SQL and Python for media content metadata, user interaction, advertising, and third-party analytics data, improving data accuracy by 60%, significantly enhancing ETL processes across the organization. - Identified new data sources including CRM data and Google Analytics, enabling comprehensive analysis of customer behavior, driving informed marketing strategies and enhancing campaign effectiveness.- Utilized Google Analytics and Data Studio to quantify campaign performance by tracking crucial KPIs. - Created comprehensive reports and dashboards using SQL, Excel, Looker, and Tableau for marketing measurements, providing insights to over 50 stakeholders.- Conducted market research, analyzed data, and identified opportunities to improve campaign strategies, guiding targeted marketing and personalization for over 50 digital media campaigns.- Collaborated with clients and internal teams to document data requirements, optimize processes, and ensure successful execution of projects within budget and timeline constraints. - Prepared over 20 business proposals, showcasing key deliverables and analytical findings, aided in the acquisition of new clients. Show less

    • Health Wealth Safe, Inc.

      Jul 2023 - Jan 2024
      Data Scientist

      - Refactored clinical data analysis (SAS) modules in Python for patient risk prediction. Conducted data transformation using NumPy and Pandas and deployed using FastAPI and Docker on AWS, achieving 98% code coverage through testing with Pytest and Postman.- Analyzed healthcare EMR data via SQL/NoSQL databases using Python and Pandas to analyze current medication, and recommend cost-effective alternatives, leading targeted intervention and cost savings.- Utilized NLP techniques, Named Entity Recognition (NERs) to extract and link medical terminologies from unstructured text data, improving data accuracy and integration with healthcare ontologies like ICD-10 and RxNorm.- Conducted gap analysis and redesigned visualizations and dashboards in SaaS platform based on user feedback, simplifying layouts and introducing concise data visualization techniques (trend lines, grouped bar plots) that highlighted key metrics, improving overall user satisfaction.- Identified process improvement opportunities, designed system specifications and collaborated on User Acceptance Testing (UAT) with software development teams. Developed test plans for functionalities to ensure compliance with business requirements and system performance.- Gained in-depth understanding of healthcare data standards (HL7, FHIR), health risk scores and medical billing coding (ICD-10, SNOMED, HCC), followed by a formal certification in HIPAA, HITECH and Medicare reporting. Show less

    • DataworksAI

      Jan 2024 - now
      Data Scientist

      - Led the development, implementation, evaluation, and deployment of AI/ML projects, enabling rapid prototyping and experimentation for NLP and LLM-based initiatives, collaborating with stakeholders from diverse domains to drive project success.- Implemented Retrieval-Augmented Generation (RAG) modules using Vector and NoSQL databases, significantly enhancing information retrieval processes.- Applied advanced prompt engineering techniques, including few-shot learning, zero-shot learning, and chain-of-thought (CoT) reasoning, to improve performance and accuracy. - Managed project deployment by developing complex services using RESTful APIs, Docker and Kubernetes, implementing Jenkins CI/CD pipeline using automation tools such as Red Hat OpenShift AI platform for continuous integration, delivery and scalability. Show less

  • Licenses & Certifications