M

MD RAFAT HOSSAIN

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New York, United States

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Résumé

Jobs verified_user 0% verified
  • IgniteTech
    Data Scientist
    IgniteTech
    Jan 2021 - Aug 2022 (1 year 8 months)
    • Built predictive models using Python and SQL to analyze member engagement and service inquiry trends, identifying key drivers and supporting automation strategies that improved operational efficiency by 18%. • Developed NLP-based document retrieval and classification models over 8K+ policy, claims, and SOP documents, improving internal search relevance and response accuracy for support teams. • Designed demand forecasting and utilization models using historical claims and pharmacy data, reducing service escalations and improving inventory and resource planning across business units. • Performed large-scale data wrangling, feature engineering, and exploratory analysis on healthcare datasets, enabling structured datasets for model training,
Education verified_user 0% verified
  • P
    Master of Science (MSc) in Data Science
    Pace University, Seidenberg School of Computer Science and Information Systems
    Dec 2025 - Current (8 months)
    Concentration: Data Analytics and Machine Learning
  • University of Texas Austin
    Post Graduate Program (PGD) in AI ML
    University of Texas Austin
    Sep 2024 - Current (1 year 11 months)
    Concentration: AI ML: Business Applications
Projects (professional or personal) verified_user 0% verified
  • A
    AI-Driven Sustainable Data Center Workload Optimization
    Sep 2025 - Dec 2025 (4 months)
    • Designed an end-to-end data science system to optimize workload scheduling across geographically distributed data centers using sustainability metrics, enabling data-driven, environmentally aware operational planning. • Built scalable ETL pipelines to process multi-year, city-level environmental and energy datasets, and implemented time-series forecasting models to predict short-term carbon emissions and water usage for proactive decision-making. • Developed a multi-objective optimization model to schedule flexible workloads while minimizing carbon intensity, water consumption, and operational constraints, evaluating trade-offs across sustainability objectives and documenting insights for research and future enhancements.
  • C
    COVID-19 Chest X-Ray Image Classification
    Jun 2024 - Jul 2024 (2 months)
    • Built and evaluated a convolutional neural network (CNN) to classify chest X-ray, applying image preprocessing and normalization techniques. • Analyzed model performance using standard classification metrics and documented limitations, highlighting challenges.
  • N
    NLP-Based Support Ticket Categorization
    May 2024 - Jul 2024 (3 months)
    • Built an NLP-driven system using Python that reduced response times by 30% and improved efficiency by 40%. • Leveraged text classification and sentiment analysis to automate support ticket management, boosting customer retention by 15% through proactive issue identification and response.
  • F
    Financial Fraud & Money Laundering Data Analysis
    Apr 2024 - Dec 2024 (9 months)
    • Built an NLP-driven system using Python that reduced response times by 30% and improved efficiency by 40%. • Leveraged text classification and sentiment analysis to automate support ticket management, boosting customer retention by 15% through proactive issue identification and response.