About me

Hi, I’m Nevin, a Data Scientist with a Master’s in Data Science from the University of Wisconsin - Madison. I'm passionate about transforming data into meaningful insights—whether through advanced analytics, engineering robust MLOps and data pipelines, or building intelligent machine learning and AI systems. With expertise in Python, SQL, cloud technologies like AWS, and a comprehensive skill set across Machine Learning, Data Engineering, and MLOps, I excel at solving complex problems and optimizing data-driven solutions for impactful business outcomes.

Beyond data, I’m an adventurer and storyteller. I run a YouTube channel where I share my travels and I also love capturing the world through photography. Whether it's developing AI models or framing the perfect shot, I enjoy the process of discovery and innovation. If you share my enthusiasm for AI, data science, or even just a great adventure story, let’s connect!

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Daniel lewis

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Education

Education

  1. University of Wisconsin - Madison Masters in Data Science 2023 — 2025

    Relevant Coursework: Advanced ML, Statistical Analysis, Data Visualization, Big-Data Systems, Optimization

  2. Indian Institute of Information Technology Bachelors in Computer Science 2019 — 2023

    Relevant Coursework: Statistical Learning, Data Structures, Distributed Systems, Cloud Computing, Algorithms

Experience

Experience

  1. AI Software Development Engineer App Mastery – Remote Jun 2025 — Present

    • - Engineered MongoDB and Milvus (Vector DB) based LLM pipeline, generating project summaries in under 30 seconds.
    • - Built CrewAI workflow collecting 10 competitor articles per run for strategic planning.
    • - Automated research briefs, cutting manual analysis from 48 hours to 10 minutes.
    • - Maintained Tableau dashboard with 99.9% uptime, ensuring continuous performance insight.

  2. Data Science Intern Wisconsin School of Business – Madison, WI Sept 2024 — Jun 2025

    • - Analyzed 100,000+ Starbucks reviews with fine-tuned BERT, revealing 12% negativity surge post-unionization.
    • - Mapped trends across 45 states, isolating regional dissatisfaction themes guiding promotions.
    • - Implemented SQL-Python ingestion pipeline, reducing preprocessing time 90× and enabling nightly refreshes.
    • - Designed Tableau suite used by 10+ executives to explore real-time geographic sentiment.

  3. AI Research Assistant UW College of Agricultural & Life Sciences – Madison, WI Sept 2024 — Mar 2024

    • - Fine-tuned ResNet50 using drone imagery for computer vision (CV) and object detection tasks, raising phenology accuracy by 25 percentage points.
    • - Consolidated 10,000 seasonal records, allowing 20+ growers to schedule harvests 5 days earlier.
    • - Deployed SageMaker pipeline, reducing training cycles 35%, logging experiments via MLflow.
    • - Presented statistical narratives, aligning agronomists and leadership on data-driven actions.

  4. Graduate Researcher Wisconsin Institute for Discovery – Madison, WI Jan 2024 — Jun 2024

    • - Created CLIP-Stable Diffusion active-learning loop, slashing image labeling effort 80%.
    • - Boosted annotation precision by 30 percentage points through confidence ranking on ImageNet and CIFAR.
    • - Benchmarked 20+ academic models, validating scalability for million-image governance workloads.

Contact

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