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atharva-bhusari/README.md

📊 Data Scientist | Machine Learning Enthusiast | ERP | SQL | Python | ETL

📧 Connect with me on LinkedIn | ✉️ Email: atharvabhusari99@gmail.com

🎓 Master of Science in Data Science | Rutgers University

📊 Trainee Business Analyst @ R S Infocon. Inc.

  • Designed, developed, and enhanced JD Edwards (JDE) applications and reports by translating business and functional requirements into scalable ERP technical solutions
  • Worked closely with cross-functional business teams across Order-to-Cash (O2C), and Freight Optimization to align JD Edwards functionality with operational workflows
  • Built Orchestrations using the JDE Orchestrator tool to load and extract transactional data, helping reduce data handoff time to downstream systems by ~30%
  • Migrated legacy IBM Showcase reports to ReportsNow, improving report performance, reducing maintenance effort by ~35%
  • Partnered with functional analysts and business users to perform unit testing, system integration testing (SIT), and user acceptance testing (UAT), resulting in smoother releases and fewer post–go-live issues
  • Supported JD Edwards system integrations and data validation activities, contributing to more reliable reporting and visibility

🩺 AI/Backend Engineer @ Curanostics

  • Built and refined ETL pipelines to extract and transform unstructured EPIC EHR data into structured JSON formats, supporting downstream analytics and model development with high data accuracy
  • Assisted in implementing HIPAA-compliant data processing workflows, ensuring secure handling of PHI and adherence to healthcare regulatory standards
  • Developed and optimized RESTful APIs using FastAPI and PostgreSQL to enable data exchange between clinical applications and internal ML services, improving API response times by several hundred milliseconds
  • Participated in deploying and maintaining a production web application on Vercel with CI/CD pipelines, contributing to high application availability and reliable performance

🎲 AI/ML Development Intern @ Entertainment Technologists

  • Automated Text and Data Extraction from Receipts: Implemented a system using OCR and AI models via the Replicate API to extract and structure receipt data from PDFs and images into a predefined JSON schema, capturing key details like store name, date, items, total cost, and payment method.
  • Database Integration and Real-Time Updates: Integrated MongoDB to store structured data, enabling efficient retrieval and updates. Supported interactive user edits for extracted fields through a UI, ensuring data accuracy and consistency.
  • Error Handling and Versatile File Support: Designed robust error-handling mechanisms for unsupported file types, missing inputs, and API token errors. Supported various file formats, including PDFs, PNGs, and JPGs, to enhance user flexibility.
  • End-to-End Workflow Implementation: Developed an end-to-end solution with a Flask-powered backend and a Vite.js frontend, allowing seamless file uploads, real-time data review, updates, and search functionality, enhancing usability and application scope.
  • Project Link

🌟 Data Science Research Assistant @ Rutgers Institute for Health (New Brunswick, NJ)

  • Collaborated with a research team to create a Machine Learning pipeline for the classification of over 1000 bio-markers
  • Achieved a 90% improvement in pipeline efficiency through parameter fine-tuning for algorithms such as KNN, SVM, and Random Forest
  • Showcased the development of a Machine Learning pipeline that enhanced the predictive analysis of bio-markers by 80%

🚀 Programmer Analyst @ Cognizant Technology Solutions (Pune, Maharashtra, India)

  • Mitigated business impact by 30% through rapid response to workflow failures using PowerCenter Workflow Monitor
  • Collaborated on updating ETL workflows and mappings in alignment with business requirements using PowerCenter Designer
  • Efficiently managed and optimized Data Integration Services and Process Chains in SAP, consistently achieving 100% on-time task completion
  • Adhered to Agile methodology and maintained comprehensive documentation using ServiceNow and HP Application Lifecycle Management Tool

📜 Publication

💼 Skills:

  • Data Analysis | Machine Learning | Data Visualization
  • Python | R | SQL | AWS | Tableau | Informatica

📜 Certifications:

Pinned Loading

  1. TL-DR-Extraction-from-Reddit-Threads-with-Neural-Networks TL-DR-Extraction-from-Reddit-Threads-with-Neural-Networks Public

    Forked from patilurjit/TL-DR-Extraction-from-Reddit-Threads-with-Neural-Networks

    Abstractive Text Summarization of Reddit posts using Transfer Learning.

    Jupyter Notebook

  2. Medical-Chatbot-using-Langchain-Llama2-and-Vector-Databases Medical-Chatbot-using-Langchain-Llama2-and-Vector-Databases Public

    HTML

  3. Best-Picture-Nominees-Sentiment-Analysis-using-R Best-Picture-Nominees-Sentiment-Analysis-using-R Public

    HTML

  4. Telecom-Customer-Churn-Predition Telecom-Customer-Churn-Predition Public

    Forked from nikhilm21/Customer-Churn-Prediction

    Jupyter Notebook

  5. PATE-for-Privacy-Preserving-Deep-Learning PATE-for-Privacy-Preserving-Deep-Learning Public

    Forked from patilurjit/PATE-for-Privacy-Preserving-Deep-Learning

    This project dives into differential privacy and its integration into machine learning, with the primary focus being the Private Aggregation of Teacher Ensembles (PATE) framework.

    Jupyter Notebook

  6. olist-powerbi-dashboard olist-powerbi-dashboard Public

    A Power BI dashboard over the Olist Brazilian e-commerce dataset (~100K orders), built on a star-schema data model. It answers five business questions spanning sales performance and supply-chain / …

    Python