Shah Logo

Hi!

I am Shahaba Alam

Passionate about data science andAI, I develop machine‑learning solutions with a focus onLLMs andcomputer vision. I love contributing to open source andresearch.

Projects Contact
     

Here's What I Do!

ML & AI

  • End‑to‑end machine learning pipelines for production
  • Computer vision models for object detection and image classification
  • Fine‑tuning and evaluation of large language models (e.g., GPT‑4o, Llama‑3)
  • Machine‑learning operations using Docker, MLflow and Hugging Face

Data Science

  • Exploratory data analysis and data storytelling
  • Feature engineering and model selection
  • Predictive analytics with Machine Learning
  • Interactive dashboards in Tableau and Streamlit

Generative AI

  • Using ComfyUI to build image generation workflows with models like Stable Diffusion, SDXL, and Flux
  • Working with LoRA models for style transfer, testing, and checkpoint merging
  • Running local LLMs with Ollama to experiment with the latest open‑source language models
  • Focusing on model evaluation across text‑to‑image and image‑to‑image tasks with frequent updates to stay current

Research

  • Designing novel deep learning architectures
  • Conducting systematic literature reviews
  • Publishing peer‑reviewed articles and delivering conference talks

PC Building & IT Support

  • Custom PC builds for gaming, AI, and workstation workloads
  • Hardware diagnostics, upgrades, and component compatibility planning
  • Multi‑OS installation, dual‑boot configuration, and virtualization
  • Troubleshooting software issues, drivers, and performance bottlenecks

Teaching

  • Mentoring students and professionals
  • Facilitating hands‑on workshops
  • Developing beginner‑friendly educational content and community guides
Let's Connect
   
     

Career Highlights

A timeline of my professional journey, key achievements, and educational background.

Bachelor in Computer Science (Honours)

Albukhary International University, Malaysia

Major courses: Machine Learning, Deep Learning, Artificial Intelligence, NLP, Data Structures and Algorithms, Probability & Statistics, Statistical Programming

Data Engineer Intern

PPK SDN BHD

Designing predictive models for maintenance, automating data pipelines, and enhancing CMMS analytics.

Freelance Data Scientist

Fiverr

Delivering data analytics solutions, building predictive models, and automating workflows for diverse client projects.

Albukhary Foundation

Awarded Albukhary Foundation scholarship for pursuing Bachelor Degree

Awarded a fully funded Albukhary Foundation scholarship to pursue a Bachelor’s degree, supporting academic and personal growth.

Albukhary International University

Dean List’s Awards, School of Computing and Informatics

Consistently recognized on the Dean’s List for outstanding academic performance across multiple semesters.

Bangladeshi Students Community AIU

Secretary

Created opportunities for cultural exchange and built a supportive community for Bangladeshi students, while maintaining communication with university officials.

Bangladeshi Students Community AIU

Academic Advisor

Guiding community members in achieving personal and academic goals while preserving cultural values.

AWS Academy Graduate – Machine Learning Foundations

Amazon Web Services Training and Certification logo

Amazon Web Services Training and Certification

Completed the AWS Academy Machine Learning Foundations course, gaining skills in machine learning, AWS cloud computing, and AI fundamentals.

Verify Credential

Machine Learning in Production

DeepLearning.AI logo

DeepLearning.AI

Covered applied machine learning, the software development life cycle (SDLC), and best practices for deploying ML systems.

Verify Credential
   
     

Technologies & Tools

A look at the key technologies I use to build robust, data‑driven solutions.

  • scikitmachine learning in Python
  • scikitmachine learning in Python
   
     

Portfolio Showcase

Explore my journey through projects that showcase my skills and dedication to continuous learning.

AI-Driven Diagnosis of Neurological Disorders

AI-Driven Diagnosis of Neurological Disorders

Developed a custom EfficientNetB model to classify neurological disorders from brain MRI scans with high accuracy for automated diagnosis.

PythonTensorFlowEfficientNetMedical Imaging
Live Demo Details
Customer Churn Prediction

Customer Churn Prediction

Built models using logistic regression, random forest, and XGBoost to predict customer churn, evaluated with ROC-AUC and F1-score metrics.

PythonXGBoostLogistic RegressionClassification
Live Demo Details
Airbnb Superhost Prediction

Airbnb Superhost Prediction

Predicted Airbnb superhost status using logistic regression, SVM, and regularized models, optimizing for cross-validation accuracy.

PythonRSVMClassification
Live Demo Details
Star Classification Using ML

Star Classification Using ML

Classified stars by physical features using KNN, Decision Trees, Random Forest, and Logistic Regression, achieving up to 95% accuracy.

PythonSupervised LearningEDAMachine Learning
Live Demo Details
Retail Sales Forecast Dashboard

Retail Sales Forecast Dashboard

Built a Streamlit dashboard with Auto ARIMA and Plotly for forecasting fashion sales, integrated with a ChatGPT-powered assistant for insights.

PythonStreamlitAuto ARIMAPlotlyChatGPT
Live Demo Details
Global Food Production Clustering

Global Food Production Clustering

Applied K-Means and Hierarchical Clustering on FAO data (1961–2013) to identify global food production patterns for food security analysis.

PythonClusteringK-MeansData Visualization
Live Demo Details
Web-Based Student Management System

Web-Based Student Management System

Developed a Flask-based system to manage student enrollment, attendance, grading, and resources, improving administrative workflows.

PythonFlaskSQLHTML/CSS
Live Demo Details
Airline Customer Satisfaction Analysis

Airline Customer Satisfaction Analysis

Analyzed satisfaction for 129,880 airline passengers using logistic regression in R, uncovering key drivers across travel classes and customer types.

RPythonData VisualizationLogistic Regression
Live Demo Details
Student Performance Prediction

Student Performance Prediction

Performed EDA and regression on academic data to identify key predictors of student success, emphasizing subject scores over demographics.

PythonEDARegressionData Preprocessing
Live Demo Details
   
     

Research & Blogs

I believe in sharing knowledge. Here are my publications and articles on topics I'm passionate about.

Research

Blogs

   
     

Get in Touch

Have a question, an opportunity, or just want to say hi? I'd love to hear from you.

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Shahaba Alam

Shahaba Alam

Data Scientist