R

Rabbani Mohammad

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Gujarat, India

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Résumé


Jobs verified_user 0% verified
  • J
    Data Scientist
    JP Morgan Chase & Co
    May 2023 - Current (2 years 10 months)
    • Built a multimodal Transformer-based chatbot to extract structured data from financial PDFs using GPT-4o, improving supportfor image and graph interpretation. • Integrated LlamaIndex to enable contextual querying across structured and unstructured financial documents. Used pgvector to store high-dimensional embeddings for fast semantic search of financial data. • Developed and deployed an AI-powered assistant combining textual and visual understanding, streamlining financial analysisworkflows. • Automated PDF parsing and data ingestion pipelines using AWS S3, supporting large-scale document storage and retrieval. Engineered robust prompt engineering logic to improve chatbot accuracy in hardware installation guidance. • Deployed YOLO
  • Tiger Analytics
    Data Scientist
    Tiger Analytics
    Jun 2021 - Aug 2022 (1 year 3 months)
    • Developed and deployed machine-learning models using Scikit-Learn and XGBoost to predict customer churn, achieving an 85% accuracy rate and enabling proactive retention strategies for a 12% improvement in customer retention. • Built automated ETL pipelines using Apache Airflow and SQL, streamlining the data extraction, transformation, and loading process, which reduced manual intervention by 30% and improved data consistency. • Applied Natural Language Processing techniques with BERT spaCy and NLTK to analyze customer feedback data, uncovering key sentiment trends and actionable insights, resulting in a 10% boost in customer satisfaction. • Leveraged AWS S3 and Redshift to manage large-scale data storage solutions, optimizing query pe
  • Accenture
    Associate Data Scientist
    Accenture
    Feb 2020 - May 2021 (1 year 4 months)
    • Developed and deployed machine-learning models for revenue forecasting, sales prediction, and loan defaulter classification using Scikit-Learn and XGBoost, improving financial accuracy and reducing default risk by 18%. • Built a robust dashboard to visualize financial KPIs, trends, and forecasts, integrating Python (Pandas, Matplotlib and Tableau for enhanced decision-making and strategy optimization. • Designed and implemented an end-to-end ETL pipeline using Apache Airflow, ensuring efficient extraction, transformation, and loading of large financial datasets, reducing data processing time by 35%. • Applied time series analysis techniques (ARIMA, Prophet) for accurate sales and revenue forecasting, resulting in a 15% increase in for
Education verified_user 0% verified
  • University of New Haven
    Master of Science
    University of New Haven
    Jan 2023 - May 2024 (1 year 5 months)
  • Vidya Jyothi Institute of Technology
    Bachelor of Technology
    Vidya Jyothi Institute of Technology
    Jun 2019 - May 2022 (3 years)
  • M
    Machine Learning
  • S
    SAS ANALYST TRAINING
  • T
    TensorFlow Developer Certificate