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jitendra3010/README.md

Hi there 👋

Jitendra Kumar Mishra

Data Scientist | Data Analyst | ML Engineer | Azure Certified Data Engineer | Research Analyst | ex-Oracle | ex-Infosys Location: Chicago, IL

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👋 About Me

I am a Machine Learning Research Analyst and Data Scientist with a passion for using data-driven insights to solve complex problems. Currently pursuing a Master of Science in Data Science at DePaul University, I specialize in areas like machine learning, deep learning, and data analysis. My work focuses on building scalable solutions for medical imaging, predictive modeling, and business intelligence systems.

I have extensive experience in leading projects, including medical image analysis, autonomous vehicle lane detection, and generative AI. I have worked with technologies like Python, SQL, AWS, and TensorFlow, and I am skilled in deploying models for real-world applications.

With over a decade of experience in the tech industry, I have held leadership roles at Oracle and Infosys, where I led teams in the development of data-driven solutions for large-scale enterprise applications. At Oracle, I spearheaded cloud-based solutions, increasing operational efficiency and improving revenue streams by 10%. At Infosys, I optimized data pipelines and ETL processes, enhancing efficiency by 70% for financial services clients like BOFA and AMEX.

I’m driven by the intersection of data science and technology, continually working on innovative solutions to enhance decision-making and business outcomes.

🛠️ Skills

Programming Languages & Tools

  • Languages: Python, R, Java, SQL, PL/SQL
  • Databases: MySQL, PostgreSQL
  • Machine Learning: Supervised & Unsupervised Learning, Predictive Modeling, PCA, Regression, Dimensionality Reduction
  • Deep Learning: CNN, LLM, Generative AI
  • Data Science Tools: NumPy, pandas, scikit-learn, PyTorch, TensorFlow, Matplotlib, Seaborn
  • Cloud: AWS, Microsoft Azure, Oracle Cloud
  • BI Tools: Power BI, Tableau
  • Development Tools: Jupyter Notebook, Visual Studio, IntelliJ, Postman, Git, REST APIs

  • Methodologies:
    • Agile Development
    • Data Engineering & ETL
    • Dashboard Development & Business Intelligence
    • Cloud Computing
    • Cross-Functional Collaboration & Stakeholder Communication

    💻 Work Experience

    DePaul CoBaab Lab (01/2023 – Present)
    Data Scientist, ML Research Analyst

    • Designed and deployed predictive and prescriptive machine learning models using Python (sci-kit-learn, TensorFlow, pyTorch, XGBoost) and optimized hyperparameters with Grid SearchCV and Randomized SearchCV, resulting in a 25% increase in customer acquisition rates.
    • Led investigations into large volumes of imaging data while applying cutting-edge analytics tools tailored specifically for health technology evaluations aimed at minimizing redundancies spotted during stakeholder meetings held bi-weekly.
    • Built robust Deep Learning and CNN models for medical image predictions, achieving a 16% improvement in accuracy over baseline.
    • Pioneered advancements leveraging artificial intelligence tools focused on entity recognition tasks which fine-tuned NLP pipelines, directly addressing key operational bottlenecks identified as critical obstacles through stakeholder feedback sessions conducted bi-weekly.
    • Formulated robust statistical methodologies integrating PCA to streamline dimensionality reduction processes; applied sophisticated visualizations through Matplotlib and Seaborn, resulting in quicker insights that Enriched project timelines by 25%.

    Oracle (05/2014 – 11/2019)
    Principal Application Engineer - Data Scientist

    Infosys (06/2009 – 05/2014)
    Data Analyst

    🚀 Projects

    • Lane and Curve Detection for Autonomous Vehicles Developed a real-time image processing pipeline using OpenCV and deep learning models to enhance lane detection and improve autonomous vehicle navigation.

    • Gesture Recognition with Hybrid 3D Pooling CNN Created a gesture recognition system for smart TVs using a 3D pooling CNN that achieved high accuracy in low-resolution environments.

    • Text-to-Image Generation for E-Commerce Developed a generative AI model using Stable Diffusion, transforming text descriptions into photorealistic product images for e-commerce.

    • Heart Attack Prediction Built a predictive model with 84% accuracy to assess heart attack likelihood using advanced machine learning and statistical techniques.

    🎓 Education

    Master of Science in Data Science
    DePaul University, Chicago, IL
    GPA: 4.00/4.00
    Expected Graduation: Nov 2024

    Bachelor of Technology in Information Technology
    Biju Patnaik University of Technology, India
    GPA: 3.46/4.00

    📫 Get in Touch

    If you're interested in collaborating or learning more about my work, feel free to reach out! 📧 Email: [email protected] 💼 LinkedIn: https://www.linkedin.com/in/jitendra3010/ 🌐 GitHub: https://github.com/jitendra3010

    Pinned Loading

    1. CNN_Gesture_recognition CNN_Gesture_recognition Public

      A CNN model leveraging Tensorflow to predict gestures of hand , which can be mapped to mapping of smart TV and other devices controll..

      Jupyter Notebook 1

    2. MovieRecommenderSystem MovieRecommenderSystem Public

      Movie Recommender system with Regression and Classification

      Jupyter Notebook 1 1

    3. MRI-Fractures-Project MRI-Fractures-Project Public

      CNN Model with U-Net architecture to find Bounding area of Feet fractures/Edema in MRI scans- Image Segmentation

      Jupyter Notebook 1

    4. pythonCodes pythonCodes Public

      Repository for python codes

      Jupyter Notebook 1

    5. RegressionAnalysis RegressionAnalysis Public

      Facebook Data Regression

      1 1