---
title: "Guru Hooli - Data Analyst & ML in Karnataka | Tal"
description: "Meet Guru Hooli, Data Analyst | Computer Vision | Python · SQL · Power BI · Tableau · OpenCV · TensorFlow | Machine Learning | MCA based in Karnataka. AI stack includes antigravity, codex, and gemini. Explore public work links including github and github."
image: "https://tal.club/meet/gururaj-hooli/share-image"
---

# Guru Hooli on Tal

## Headline

Data Analyst \| Computer Vision \| Python · SQL · Power BI · Tableau · OpenCV · TensorFlow \| Machine Learning \| MCA

## About

📊 Data Analyst & Computer Vision Developer with 1\+ year of professional experience transforming complex datasets into actionable business insights, and building real\-world CV solutions for object detection, image classification, and OCR pipelines\. 🔍 What I Build: ▸ Computer Vision Systems — Built real\-time object detection apps, gloved\-vs\-bare\-hand detection models \(SafeHands\-Vision\), vehicle license plate recognition using YOLOv8 \+ PaddleOCR, pneumonia detection from chest X\-rays using CNNs, and image classification pipelines\. ▸ Data Analytics & ML Pipelines — Developed fraud detection models for transaction data, customer segmentation using K\-Means clustering, stock price forecasting with ARIMA, housing price regression, and sentiment classification systems\. ▸ AI\-Powered Tools — Created intelligent apps including knowledge graph builders \(KnowGraph\-AI\), research paper analysis tools \(PaperLens\), reinforcement learning agents \(Math\-RL\-Agent\), movie recommendation engines, and automated resume processors\. ▸ Interactive Dashboards — Built Power BI and Excel dashboards that translate raw data into compelling visual stories for stakeholders and cross\-functional teams\. 🛠️ Technical Stack: → Languages: Python, SQL → Computer Vision: OpenCV, YOLOv8, CNNs, TensorFlow, Keras, PaddleOCR, Image Processing → Data & ML: Pandas, NumPy, Scikit\-learn, XGBoost, SciPy, ARIMA, K\-Means → Deep Learning: TensorFlow, Keras, PyTorch, Seq2Seq, Transfer Learning → Visualization: Power BI, Tableau, Matplotlib, Seaborn, Excel \(Advanced\) → NLP: Sentiment Analysis, Text Classification, Sequence\-to\-Sequence Models → Databases: MySQL, PostgreSQL, Amazon Redshift → Tools: Jupyter Notebook, Git, GitHub, Google Colab, VS Code, FastAPI 🎓 MCA in Computer Science — CMR Institute of Technology \(CGPA: 8\.56\) 📜 Google Data Analytics Professional Certificate 🏗️ 29\+ projects on GitHub → github\.com/guru8880 💡 I don't just analyze data — I build end\-to\-end solutions, from raw pixels to predictions\. Whether it's detecting fraud in transactions, reading license plates in real\-time, or diagnosing pneumonia from X\-rays, I combine analytical rigor with engineering execution\. 📩 Open to roles in Data Analytics, Computer Vision, and Machine Learning\. Let's connect — I'm always up for discussing data, collaborating on projects, or exploring new opportunities\!

## Location

Karnataka

## AI stack

antigravity

codex

gemini

github copilot

langchain

mcp

## Work experience

Data Analyst & ML at Infatoz Technologies, Mar 2025 \- Mar 2026 · 1 yr 1 mo, Bengaluru, Data Analyst & ML Engineer delivering end\-to\-end analytics, machine learning models, and computer vision systems in a fast\-paced tech environment\. 📊 Data Analytics & Reporting • Performed end\-to\-end EDA on large\-scale datasets using Python \(Pandas, NumPy, Matplotlib, Seaborn\), uncovering trends and patterns that informed business strategy\. • Built interactive Power BI dashboards for cross\-functional teams, replacing manual reporting with real\-time self\-service analytics\. • Wrote complex SQL queries \(joins, CTEs, window functions\) across MySQL and PostgreSQL to power analytics pipelines and ad\-hoc reporting\. • Conducted hypothesis testing, A/B testing, and correlation analysis to validate business decisions\. 🤖 Machine Learning • Built and evaluated ML models \(Logistic Regression, Random Forest, XGBoost, SVM\) for fraud detection, customer segmentation, and predictive analytics\. • Developed a transaction fraud detection system flagging suspicious financial transactions with high precision through feature engineering and model tuning\. • Implemented K\-Means clustering for customer segmentation, enabling targeted marketing strategies\. 👁️ Computer Vision • Built SafeHands\-Vision — a real\-time gloved\-vs\-bare\-hand detection system using CNNs and OpenCV for workplace safety compliance\. • Developed automated license plate recognition using YOLOv8 \+ PaddleOCR for plate detection and text extraction\. • Created a pneumonia detection model from chest X\-rays using CNNs with TensorFlow/Keras\. ⚙️ Automated repetitive data workflows using Python, reducing manual effort\. Collaborated with product and business teams to translate requirements into analytical frameworks\. Tech: Python, SQL, Power BI, Pandas, Scikit\-learn, TensorFlow, Keras, OpenCV, YOLOv8, PaddleOCR, XGBoost, MySQL, PostgreSQL, Git

## Education

Master of Computer Applications \- MCA, Computer Science, CMR Institute Of Technology

Bachelor of Computer Applications, Mathematics and Computer Science, KLE's BCA Hubli

## Public links

- github: https://github\.com/guru8880
- github: https://github\.com/guru8880

[View the original profile](https://tal.club/meet/gururaj-hooli)

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