Vaishnavi Yudeyeljodi
Master of Data Science (CGPA 3.85), UM | Python, FastAPI, ML pipelines
Contact
- Email vaishnavi.yudeyeljodi@gmail.com
- Phone +601****9140
Summary
Master of Data Science graduate from Universiti Malaya (CGPA 3.85) with an AI/ML specialization and production-grade Python, FastAPI and Docker experience. Built ShopSmart, an LLM grocery-basket optimizer and an award-listed trajectory clustering study on e-hailing data.
AI-generated from CV
Skills
Languages
- Python
- SQL
- Java
- R
- C++
- JavaScript
- PHP
- HTML5
- CSS
Frameworks
- FastAPI
- Scikit-Learn
- TensorFlow
- Keras
- PyTorch
- NumPy
- Pandas
- SciPy
- Apache Spark
- Apache Hadoop
- GeoPandas
- Streamlit
- RapidFuzz
- Matplotlib
Tools
- Docker
- AWS
- AWS CLI
- Google Cloud Platform
- Snowflake
- Apache Hive
- Firebase
- SQLite
- Cloudflare DNS
- Linux (Ubuntu)
- Oracle SQL Developer
- DBeaver
- Jupyter Notebook
- RStudio
- Git
- GitHub
- MATLAB
- Claude Code
Education
-
Universiti Malaya (UM)
Master of Data Science - Coursework
CGPA 3.85 2023 - 2025
-
Universiti Sains Malaysia (USM)
Bachelor in Computer Science (Hons.), Specialization in Intelligent Systems, Minor in Mathematics
CGPA 3.34 2017 - 2021
-
Kolej Matrikulasi Pulau Pinang (KMPP)
Matriculation Programme - Science Stream, Module III
CGPA 3.96 2016 - 2017
Highlights
- ShopSmart: LLM-powered grocery price-comparison platform with fuzzy-logic fallback, engineered backend REST APIs.
- Trajectory clustering research across 2 Southeast Asian cities on massive e-hailing datasets (Master's project)
- Launched company mobile app on Google Play Store and 10+ hotel partner landing pages at Accom Click
- 42 Malaysia K-Youth Programme: automated end-to-end ETL pipeline CLI tool with AI decision module, containerized in.