- π Master of Data Science and Innovation Graduate from University of Technology Sydney.
- πΌ Data Analyst / Data Engineer @ Star Phones Technology Pty Ltd.
- βοΈ Skilled in Google Cloud, Azure, Snowflake, Airflow, PySpark & Databricks.
- π§ Strong interest in Machine Learning, NLP, and Big Data analytics.
- π οΈ Proficient in Python, SQL, C++, and working with TensorFlow & PyTorch.
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Data Analyst / Engineer @ Star Phones Technology
Jun 2023 β Present
β’ Built predictive sales models with 85% accuracy
β’ Automated reporting pipelines, reducing manual effort by 30%
β’ Improved inventory accuracy by 25% through real-time dashboards -
Python Developer @ Softora Technologies
Aug 2021
β’ Created CLI-based automated alarm clock application using Python -
Machine Learning Intern @ Career Launcher
Jun 2020
β’ Built regression and clustering models for portfolio analysis and stock categorization
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Nutrion β 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.
- π₯ Peopleβs Choice Award β MDSI Innovation Labs 2024, UTS
- π GitHub Graduate 2021 (Octograd)
- π§ AWS ML Scholarship Recipient β Udacity
- π‘ Finalist β AGBI Digital HealthTech Grand Challenge (HackerEarth)
- π©οΈ 30 Days of Google Cloud Program Finisher
- π§ Email: [email protected]
- πΌ LinkedIn: linkedin.com/in/sangmeshwar-kanaje-242141170
