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