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Registration: 24.07.2025

Muhammad Syafiq Farhan Mohd Faridz

Specialization: Data Scientist
— Self-driven Data Science undergrad with real-world experience building AI-driven solutions in health tech. — Known for automating complex manual processes using OCR, crafting robust ML pipelines, and deploying production-grade APIs. — Excel at translating business needs into technical systems with real impact.
Python PostgreSQL Git SQL Postman REST API GitHub JavaScript Matplotlib C C++ OpenAI Data Visualization pandas Machine Learning rest api Scrum Agile Java Bash
— Self-driven Data Science undergrad with real-world experience building AI-driven solutions in health tech. — Known for automating complex manual processes using OCR, crafting robust ML pipelines, and deploying production-grade APIs. — Excel at translating business needs into technical systems with real impact.
Python PostgreSQL Git SQL Postman REST API GitHub JavaScript Matplotlib C C++ OpenAI Data Visualization pandas Machine Learning rest api Scrum Agile Java Bash

Portfolio

Staff Health Analytics System

● A comprehensive tool for analyzing and reporting staff health metrics with support for both standalone usage and API deployment.

Travel Insurance Conversion Prediction

● Built pipeline using Random Forest to predict insurance conversions. Cleaned and merged Json/CSV datasets; engineered features to handle class imbalance.

Disease Prediction from PDF/Image

● This project predicts diseases using extracted text from PDF documents or images. It leverages EasyOCR for text extraction and XGBoost for disease classification. The Streamlit-based UI allows users to upload a PDF or an image to analyze health-related metrics.

Skills

Python
Machine Learning
Data Visualization
C++
C
JavaScript
Java
PostgreSQL
Git
SQL
Postman
API
REST
GitHub
Bash
OpenAI
Scrum
Agile

Work experience

AI Researcher
10.2024 - 04.2025 |TMRND
Python, Git, Machine Learning, Supervised Learning, Scrum
● Developed ML models (XGBoost, CNN, Naïve Bayes, AdaBoost) for health condition classification with >90% accuracy. ● Automated disease diagnosis using OCR and PDF/image parsing, replacing manual doctor analysis. ● Built FastAPI backend to deliver AI-powered health summaries (GPT-4o), deployed with secure REST endpoints for mobile and kiosk use. ● Created real-time analytics dashboards (Matplotlib, Plotly) for demographic and health insights. ● Participated in Agile scrums and collaborated on full-stack integration.

Educational background

Data Science and Computational Intelligence (Bachelor’s Degree)
2020 - 2025
International Islamic University Malaysia

Languages

EnglishProficientMalaysianNative