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Md Farman Ali

I'm a Data Scienctist Data Analyst AI/ML Engineer

Dedicated and results-oriented Computer Science student specializing in Data Science, with strong expertise in machine learning, deep learning, artificial intelligence, and data analytics. Experienced in building end- to-end ML solutions—from data preprocessing to deployment—using MLOps tools such as MLflow and Docker. Skilled in applying neural networks, natural language processing, and computer vision techniques to real-world problems across healthcare, finance, and security domains.

Download Resume/CV

My Services

Data Science

I apply statistical analysis, machine learning, and visualization techniques to extract insights and deliver impactful solutions across healthcare, finance, and cybersecurity.

Data Analysis

Proficient in data wrangling, hypothesis testing, and dashboarding using Pandas, SQL, Excel, Power BI, and Tableau — helping businesses make data-driven decisions.

Artificial Intelligence

I design and deploy intelligent systems including chatbots, LLM-powered summarizers, and smart assistants using GPT, BERT, and HuggingFace Transformers.

Machine Learning Solutions

I build ML models for classification, regression, and clustering — from data preprocessing to deployment with MLflow and Docker.

Deep Learning & NLP

Skilled in computer vision, NLP, and LLM fine-tuning using PyTorch, TensorFlow, and HuggingFace Transformers.

Web App Development

I develop fast, scalable APIs and dashboards using FastAPI, Flask, Streamlit, React, and Tailwind.

Data Visualization

I deliver interactive dashboards and charts using Tableau, Power BI, Seaborn, and Plotly.

Anomaly Detection & IoT Security

I build intrusion detection models using SVM, Autoencoders, GANs, and apply them to NSL-KDD & IoT networks.

Research & Technical Writing

I assist with academic papers, research methodology, and publication in Q1/Q2 journals for AI/ML topics.

Why Hire Me?

I’m a results‑driven Machine Learning Engineer & Data Scientist who turns raw data into deployable, production‑grade solutions. From fine‑tuning LLMs and building MLOps pipelines with MLflow & Docker, to creating interactive dashboards in Power BI, I deliver end‑to‑end value across healthcare, finance, and IoT security.

My Experience

A blend of freelance, internship, leadership, and content‑creation roles where I delivered impactful AI/ML solutions.

2024 – Present

Freelance AI / ML Developer

Fiverr | Remote

  • Delivered 10+ ML & NLP projects using BERT/GPT
  • Built FastAPI & Streamlit apps
  • Containerised with Docker & tracked via MLflow/DVC

2023 – 2024

Data Science Intern (CTO Support)

Better World / CodeSoft / Brainwave Matrix

  • Built proof‑of‑concept ML pipelines & automation
  • IoT anomaly‑detection research
  • Technical documentation for CTO initiatives

2023 – 2024

Vice President & Mentor

SCI School Committee & Research Club

  • Ran workshops on Python, ML & DataViz
  • Mentored peers for Kaggle & Zindi challenges

2022 – Present

IT Content Creator

Data Mart (YouTube & Blog)

  • Produced 30+ TensorFlow & Power BI tutorials
  • Grew community to 2 K+ subscribers

My Education

Academic journey enriched with data‑science, AI, and software‑engineering expertise.

2020 – 2024

B.Comp.Sc. (Hons) — Data Science

Albukhary International University, MY

  • CGPA 3.70 / 4.00 (Dean’s List ×4)
  • Projects in ML, NLP & CV

2024

Web Development Certificate

Programming Hero

  • HTML, CSS, JS, React, Tailwind

2025

Deep Learning Specialization

DeepLearning.AI (Coursera)

  • CNNs, RNNs, LSTMs with TensorFlow/Keras

2025

Statistics with Python

University of Michigan

  • Statistical inference & regression in Python

2025

SQL for Data Science

Coursera

  • Advanced querying, joins & analytics

2025

Python for Everybody

University of Michigan

  • APIs, databases & data structures

My Skills

Core technologies, frameworks, and tools I use daily.

Python TensorFlow PyTorch scikit‑learn Docker SQL AWS / Azure Git & GitHub JavaScript / React Power BI / Tableau

About Me

Data‑enthusiast based in Malaysia, passionate about leveraging AI to solve real‑world problems and mentoring the next wave of tech talent.

Name: Md Farman Ali
Gender: Male
Age: 24 Years
City: Alor Setar, Kedah, MY
Nationality: Bangladeshi
Experience: ~6 months internship + ~2 Years freelance
Full‑Time: Available
Freelance: Available
Phone: (+60) 115 448 1422
Email: md.farmanali200346@gmail.com
Languages: English, Bangla, Malay

Latest Projects

01

AIU Smart Resume Analyzer

Web app that automates resume screening with NLP, JWT security and an ATS-style scoring engine.

FastAPI · Firebase · spaCy · MLflow
More Details

Problem Statement

Traditional résumé reviews are slow and prone to bias.

Key Findings

  • 92% entity extraction accuracy.

Future Work

  • LLM feedback + OTP login.
Smart Resume Analyzer Preview
02

Real-Time Facial Liveness Detection (No DL)

CNN-free anti-spoofing: HOG · LBP · Gabor + SVM / RF / XGBoost → 100 % on iBeta.

OpenCV · scikit-learn · XGBoost
More Details

Problem Statement

Deep models are heavy for mobile/IoT; need lightweight yet robust liveness detection.

Key Findings

  • SVM (RBF) hits perfect accuracy with ≈ 8 ms inference on Raspberry Pi 4.

Future Work

  • Add blink / head-motion temporal cues.
Facial Liveness preview
03

AI-Powered Research Paper Summarizer

Transformer models (Pegasus / T5) auto-extract & summarise Introduction → Conclusion.

Python · Transformers · ROUGE
More Details

Problem Statement

Researchers struggle to scan hundreds of papers quickly.

Key Findings

  • Summaries score ROUGE-L 0.44 vs. human abstracts.

Future Work

  • Interactive Q&A chat over PDFs (LLMs).
Paper summarizer preview
04

Predicting Falcon 9 Landing Success

Decision-Tree hits 96 % using SpaceX public API data.

Python · Plotly · Dash · scikit-learn
More Details

Problem Statement

Optimise booster reuse costs.

Key Findings

  • Payload mass negatively correlated with landing success.

Future Work

  • Integrate weather & wind features.
Falcon 9 dashboard
05

Crime Rates by Region — Visual Analysis

K-Means clusters 50 US states by violent-crime patterns (1973 data).

Python · Seaborn · Folium
More Details

Problem Statement

Lack of intuitive crime dashboards for policy makers.

Key Findings

  • Urban population is the strongest correlate.

Future Work

  • Add 50-year time-series & socioeconomic factors.
Crime heatmap
06

Statistical Income Classification (R)

Naïve Bayes model classifies Adult Census income with R visualisations.

R · ggplot2 · dplyr
More Details

Problem Statement

Understand demographic drivers of income.

Key Findings

  • Age & hours/week are key predictors.

Future Work

  • Switch to Gradient Boosting.
Income plots
07

African Credit Scoring — Deep Learning

Tabular DNN with polynomial features & threshold tuning for F1.

TensorFlow · Keras
More Details

Problem Statement

Reduce default risk for micro-finance lenders.

Key Findings

  • DNN outperforms LightGBM in recall.

Future Work

  • SHAP explanations & Streamlit app.
Credit scoring dashboard
08

Customer Churn Prediction (ML)

LightGBM + SHAP explainability on 10 000 banking customers.

LightGBM · SHAP · pandas
More Details

Problem Statement

Proactive retention of high-value clients.

Key Findings

  • Age & balance are top predictors.

Future Work

  • Deploy REST API on FastAPI.
Churn SHAP plot
09

Predicting Student Performance (ML)

Random Forest hits 91 % accuracy on behavioural & demographic data.

Python · scikit-learn · pandas
More Details

Problem Statement

Early-alert system for at-risk students.

Key Findings

  • Absenteeism (corr –0.61) is the strongest negative factor.

Future Work

  • Real-time dashboard for teachers.
Student performance chart
10

Hybrid Anomaly Detection in IoT Networks

Compares SVM vs Autoencoder, CNN, LSTM & GAN on NSL-KDD.

TensorFlow · NSL-KDD · scikit-learn
More Details

Problem Statement

Secure resource-constrained IoT devices from cyber-attacks.

Key Findings

  • LSTM achieved ROC-AUC 0.98.

Future Work

  • Edge-friendly federated learning.
IoT anomaly plot

Let's Work Together

As a passionate Data Science,ML,AI professional, I enjoy turning data into insights, building intelligent systems, and solving real-world problems using AI, machine learning, and analytics.

Whether you're working on a research project, building a predictive model, need help with Machine Learning,deep learning,NLP or want to explore data-driven decision making — I’d love to hear from you!

Feel free to connect via email or phone. I typically respond within 24 hours.

Phone

(+60)1154481422

Email

md.farmanali200346@gmail.com

Address

Jln Tun Razak, Bandar Alor Setar, 05200 Alor Setar, Kedah, Malaysia

Contact Me!