Ankit Ranjan ankitranjan-dsai

📋 Table of Contents

About Me
What I'm Looking For
Education & Certifications
Tech Stack
Featured Projects
Key Achievements
Profile Dashboard

🧠 About Me

class AnkitRanjan:
    def __init__(self):
        self.role        = "Data Science & AI Engineer"
        self.education   = "MSc Data Science & AI @ University of Liverpool"
        self.focus       = ["Multi-agent AI", "Machine Learning", "NLP", "Applied Statistics"]
        self.currently   = "Building BatchHelm AI — autonomous recall command center"
        self.superpower  = "4+ years turning hard math into clear, correct answers"

🎓 MSc Data Science & AI at the University of Liverpool, UK (Expected: Distinction) — built on a PG Certificate from IIIT Bangalore (CGPA 3.96 / 4.0) and MIT MicroMasters coursework in Statistics & Data Science.
🤖 I design multi-agent AI systems — security reviewers, retrieve-then-judge RAG pipelines, and autonomous operational workflows.
🔭 Currently building BatchHelm AI: an autonomous recall command center for product batches, shelves, and store teams.
🛡️ Recently shipped SGAI — SecureGuardAI: a multi-agent code-security reviewer on Google ADK + MCP.
🧮 4+ years as a Mathematics Subject-Matter Expert — analytical rigor, high-accuracy validation, and clear communication for non-technical audiences.
🌱 Exploring: LLM agents, deep learning, Power BI / Tableau, and production-grade ML.
💬 Ask me about Python, ML, NLP, statistical modelling, multi-agent systems, or applied AI.

🎯 What I'm Looking For

I'm actively seeking opportunities in Data Science, AI/ML Engineering, and Applied AI roles — internships, graduate positions, and collaborative projects.

What I bring to the table:

End-to-end ML pipeline experience (EDA → modelling → deployment)
Multi-agent AI system design (Google ADK, MCP, autonomous workflows)
Strong statistical foundation + 4+ years of analytical problem-solving
Hackathon-proven ability to ship under pressure (4x hackathon builder)

Interested in:

🤖 AI/ML Engineering roles (LLMs, agents, RAG, MLOps)
📊 Data Science positions (modelling, analytics, experimentation)
🔬 Research collaborations (NLP, multi-agent systems, applied AI)
🏗️ Open-source contributions (Python ML/AI ecosystem)

📫 Reach me: ankit0ranjan@gmail.com | LinkedIn

🎓 Education & Certifications

Credential	Institution	Highlights
🎓 MSc Data Science & Artificial Intelligence (Expected: Distinction)	University of Liverpool, UK	Applied AI · Machine Learning · Statistical Modelling · Research Methods (2026–2027)
📜 PG Certificate — Data Science & AI	IIIT Bangalore	CGPA 3.96 / 4.0 · Python A · Intro to ML A · Advanced ML & NLP A
🧪 MIT MicroMasters — Statistics & Data Science	MIT / edX	Data Analysis & Stat. Modelling 92% · Probability 87% · Machine Learning 82% · Statistics 66%
⚡ BEng Electronics & Communication Engineering	RGPV, India	First-class equivalent (74.9%)

🛠️ Tech Stack

Languages

Machine Learning & Data

Visualisation & BI

AI / Agents & Apps

Tools & Platforms

🚀 Featured Projects

👇 Click any card to open that project's repository.

📋 Project details (text version)

🔐 SGAI — SecureGuardAI

Multi-agent code-security reviewer that audits codebases for CVEs & unsafe patterns, risk-ranks findings, explains fixes, and tracks changes across scans. 🏆 Kaggle × Google AI Hackathon 2026 — Google ADK · MCP · Bandit · OSV.dev

🎓 Aimura AI

Student career-planning OS — turns one guided intake into a grounded study-to-career plan with a readiness score, career-fit intelligence, and an AI mentor chat. (with @umapriya30) 🏆 Microsoft Hackathon — Next.js · Python · Azure / OpenAI

🏥 Facility Trust Desk

Retrieve-then-judge AI pipeline turning messy Indian health-facility records into cited, trustworthy capability verdicts. 🏆 Databricks Hackathon 2026 — RAG · LLM · Streamlit

📦 BatchHelm AI

Autonomous recall command center coordinating product batches, shelves, and store teams via multi-agent workflows. 🏆 Qwen Cloud Hackathon — Multi-agent · Python · Autonomous workflows

🕸️ Temporal Path Explorer

Streamlit app for exploring temporal paths in time-evolving networks — MSc Group Project (Team 9, University of Liverpool). Streamlit · Graph Analysis · Temporal Networks

🚚 Delivery Time Prediction

End-to-end supervised ML pipeline on Porter data — R² = 0.8636, with RFE feature selection & reproducible diagnostics. scikit-learn · Statsmodels · EDA

🚕 NYC Taxi EDA

Cleaned & analysed millions of 2023 trip records (Parquet) with geospatial zone insights for route & dispatch optimisation. Pandas · Seaborn · GeoPandas

🏆 Key Achievements

🥉 National Rank 3 — SMARTCON 2017 (India) — Smart Park automation project integrating solar energy, automated irrigation & smart charging; recognised among top national innovations.
🏅 Australian Mathematics Olympiad — 3rd Prize — ranked in the top 1% globally.
🧮 4+ years as a Mathematics SME across CHEGG · Photomath · MathMaster — built rigorous accuracy-checking habits transferable to data validation & quality control.

📊 Profile Dashboard

"Without data, you're just another person with an opinion." — W. Edwards Deming

Let's build something together. 📫 ankit0ranjan@gmail.com · 💼 LinkedIn · 🏅 Kaggle

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