- 🎓 Master of Data Science and Innovation Graduate from University of Technology Sydney.
- 💼 Data Analyst / Data Engineer @ Star Phones Technology Pty Ltd.
- ☁️ Skilled in Google Cloud, Azure, Snowflake, Airflow, PySpark & Databricks.
- 🧠 Strong interest in Machine Learning, NLP, and Big Data analytics.
- 🛠️ Proficient in Python, SQL, C++, and working with TensorFlow & PyTorch.
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Data Analyst / Engineer @ Star Phones Technology
Jun 2023 – Present
• Built predictive sales models with 85% accuracy
• Automated reporting pipelines, reducing manual effort by 30%
• Improved inventory accuracy by 25% through real-time dashboards -
Python Developer @ Softora Technologies
Aug 2021
• Created CLI-based automated alarm clock application using Python -
Machine Learning Intern @ Career Launcher
Jun 2020
• Built regression and clustering models for portfolio analysis and stock categorization
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Nutrion – AI Food Recommender
Random Forest-based food suggestion engine with Streamlit UI and API integration for groceries. -
DeepFake Detection Tool (ML-based)
LSTM-based deepfake detection tool with 92% accuracy for forensic video analysis. -
Post-Disaster Geo-Spatial System
AI-powered mobile app for relief prioritization with 91% accuracy. -
Slack Clone
Real-time chat application with React and Firebase. -
AWS Web Automation
Serverless API using AWS S3 & DynamoDB for dynamic content rendering on Wix.
- 🥇 People’s Choice Award – MDSI Innovation Labs 2024, UTS
- 🎓 GitHub Graduate 2021 (Octograd)
- 🧠 AWS ML Scholarship Recipient – Udacity
- 💡 Finalist – AGBI Digital HealthTech Grand Challenge (HackerEarth)
- 🌩️ 30 Days of Google Cloud Program Finisher
- 📧 Email: [email protected]
- 💼 LinkedIn: linkedin.com/in/sangmeshwar-kanaje-242141170
