Aniket Tayade tayade-aniket

About • Experience • Education • Tech Arsenal • Projects • Analytics • Certifications • Contact

👨‍💻 About Me

class AniketTayade:
    def __init__(self):
        self.role        = "Machine Learning Engineer (in the making) | Data Scientist"
        self.experience  = "1+ year in Data Science, Analytics & Teaching"
        self.works_at    = "NextHike IT Solutions"
        self.studying    = "M.Sc. Computer Science @ MIT ACSC, Pune (CGPA 9.07)"
        self.location    = "Pune, Maharashtra, India 🇮🇳"
        self.focus       = ["LLM Fine-Tuning", "Federated Learning", "Agentic AI / RAG", "MLOps"]
        self.research    = "Presented FedTune @ INSIGHT 2026 (Track I: Intelligent Systems, AI/ML)"
        self.open_to     = ["ML Engineer roles", "Research collabs", "Open-source AI projects"]

    def philosophy(self):
        return "Models are only useful when they ship. Data is only useful when it drives decisions."

I'm a Data Scientist evolving into a Machine Learning Engineer. I've spent over a year turning raw data into insights, dashboards and predictive models, and I'm now going deeper into building, fine-tuning, deploying and scaling ML/LLM systems end-to-end. My work sits at the intersection of analytics rigor and ML engineering craft.

🔭 What I'm Working On

🔒 FedTune: privacy-preserving LLM personalization via federated QLoRA
🤖 FINRA-AI: multi-agent financial research system (LangGraph + RAG)
🧱 Productionizing ML with FastAPI, Docker & AWS
✍️ Documenting my journey in a build-in-public series on LinkedIn

🎯 What Drives Me

🧠 Building intelligent systems that solve real business problems
📈 Data storytelling: insights people can actually act on
🛠️ Clean, reproducible, deployable ML code
🌍 Working on impactful problems with global teams

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💼 Experience

Role	Where	What I Do
🧪 Junior Data Scientist Intern (1 year)	NextHike IT Solutions	End-to-end data workflows: data cleaning & EDA, feature engineering, predictive modeling, BI dashboards (Power BI / Tableau), and stakeholder-ready insights
👨‍🏫 Python & Data Analytics Instructor	Training / Teaching	Taught Python, data analysis and visualization; simplified complex ML/stat concepts for learners
🌐 Web Development Mentor	Mentorship	Guided learners through building and deploying real web projects

_{Analyst → Scientist → ML Engineer: the full data lifecycle is in my toolbox, from SQL and dashboards to model training, deployment and monitoring.}

🎓 Education

Degree	Institution	Score
🎓 M.Sc. Computer Science (Pursuing)	MIT Arts, Commerce & Science College (MIT ACSC), Pune
🎓 B.Voc. Software Development	Sant Gadge Baba Amravati University

🛠️ Tech Arsenal

🤖 Machine Learning & Deep Learning

🧠 LLMs, Agents & Federated Learning

⚙️ MLOps, Backend & Cloud

📊 Data Analytics & Visualization

🗄️ Databases, Big Data & Frontend

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🚀 Featured Projects

🚦 Indian Road Accident Severity

Predicting & Understanding Accident Severity on Indian Roads

End-to-end ML project: data cleaning, EDA and modeling to predict how severe a road accident is, surfacing the factors that matter most for road safety.

✈️ Airline AI Decision Platform

AI-Powered Decision Support for Airline Operations

A platform that turns airline data into actionable, data-driven decisions using machine learning and AI.

🏠 Airbnb Search Ranking System

Ranking Listings by Relevance for Better Search

A search-ranking system that orders listings so the most relevant results surface first, built with a machine-learning ranking approach.

⛽ Flight Fuel Optimization Assistant

AI Assistant for Smarter Flight Fuel Planning

An intelligent assistant that helps analyze and optimize flight fuel usage to cut cost and improve efficiency.

📊 GitHub Analytics

🐍 Contribution snake (click to see setup)

Add this workflow at .github/workflows/snake.yml in your profile repo, then uncomment the image below:

name: Generate Snake
on:
  schedule: [{ cron: "0 0 * * *" }]
  workflow_dispatch:
jobs:
  generate:
    runs-on: ubuntu-latest
    permissions: { contents: write }
    steps:
      - uses: Platane/snk/svg-only@v3
        with:
          github_user_name: ${{ github.repository_owner }}
          outputs: dist/github-snake.svg?palette=github-dark
      - uses: crazy-max/[email protected]
        with: { target_branch: output, build_dir: dist }
        env: { GITHUB_TOKEN: "${{ secrets.GITHUB_TOKEN }}" }

<!-- <img src="https://raw.githubusercontent.com/tayade-aniket/tayade-aniket/output/github-snake.svg" alt="snake"/> -->

🏅 Certifications & Learning

🧭 Roadmap: Data Scientist → ML Engineer

flowchart LR
    A[📊 Data Analysis<br/>SQL · Power BI · Tableau] --> B[🧪 Data Science<br/>Pandas · Scikit-learn · Stats]
    B --> C[🧠 Deep Learning<br/>PyTorch · TensorFlow · NLP]
    C --> D[🤖 LLMs & Agents<br/>QLoRA · RAG · LangGraph]
    D --> E[🚀 MLOps<br/>FastAPI · Docker · AWS]
    E --> F[🎯 ML Engineer]
    style A fill:#1E3A8A,color:#fff,stroke:#2563EB
    style B fill:#2563EB,color:#fff,stroke:#1E3A8A
    style C fill:#8B5CF6,color:#fff,stroke:#5B21B6
    style D fill:#7C3AED,color:#fff,stroke:#5B21B6
    style E fill:#EA580C,color:#fff,stroke:#9A3412
    style F fill:#F97316,color:#000,stroke:#1E3A8A,stroke-width:3px

🤝 Let's Collaborate

🤖 Machine Learning, LLM & Agentic-AI projects
🔒 Federated learning & privacy-preserving AI research
📊 Dashboards, Business Intelligence & analytics
🌱 Open-source data science & ML contributions

💬 Ask me about: LLM fine-tuning, RAG pipelines, multi-agent systems, model explainability, or breaking into ML from data analytics.

📫 [email protected] • 🌐 aniket-tayade-nine.vercel.app

_{😄 Fun fact: I like turning messy datasets into clean dashboards, and clean notebooks into deployed models.}

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