SJA

Sarder Junaid Ahmed

Data Scientist & ML Researcher
+880 171 820 0525 junaidahmedrupok@gmail.com GitHub Website Dhaka, Bangladesh

Research Interests

Probability theory, combinatorics, Bayesian statistics, statistical computing, causal inference, and robust machine learning; applications in political data science, predictive modeling, and algorithmic statistical testing.

Publications

Submitted for Peer Review

"Multi-Dimensional Statistical Similarity for Governance Classification: Beyond Arbitrary Thresholds in Comparative Politics"

Ahmed, S.J. (2025)

  • Novel statistical framework for political regime comparison using multi-dimensional similarity measures
  • Advanced beyond traditional binary classification approaches in comparative politics
  • Theoretical contribution to algorithmic statistical testing methodology
Submitted for Peer Review

"Enhanced Crime Classification Using Ensemble Learning: Improving Predictive Accuracy for Law Enforcement Applications"

Ahmed, S.J. (2025)

  • Ensemble machine learning approach for crime type classification
  • Applications in predictive policing and law enforcement optimization
  • Statistical validation using advanced hypothesis testing methods
Submitted for Peer Review

"Machine Learning-Based Classification of Economic Development Status: A Comparative Study Using World Bank Indicators"

Ahmed, S.J. & Kwoshik, M.H.R. (2025)

  • Comparative analysis of ML algorithms for economic development classification
  • Comprehensive evaluation using World Bank development indicators
  • Statistical significance testing and model validation methodology

Technical Skills

Programming

Python C/C++ SQL

Statistical Modeling

Probability Theory Bayesian Inference Hypothesis Testing Mann-Whitney U Kolmogorov-Smirnov Shapiro-Wilk

Machine Learning

TensorFlow Scikit-learn XGBoost Ensemble Methods

Data Science Libraries

Pandas NumPy Matplotlib Seaborn

Development Tools

Jupyter PyCharm Google Colab Flask Git/GitHub Linux

Research Projects

Human Development Index Prediction

Deep Learning Pipeline
2025
85% Accuracy | 15% Improvement
  • End-to-end deep learning pipeline with statistical validation for HDI forecasting
  • Technologies: Python, TensorFlow, Flask
  • Statistical validation and cross-validation methodology
View Repository

Ensemble Methods for Government Classification

Statistical ML Analysis
2025
84% Accuracy | 12% Improvement
  • Random Forest and Lasso Logistic Regression ensemble
  • Advanced feature selection and cross-validation
  • Statistical significance testing on classification results
View Repository

COVID-19 Vaccine Distribution Analytics

Predictive Modeling
2025
20% Efficiency Improvement
  • Predictive analytics framework for optimal vaccine allocation
  • Multi-source data integration with theoretical validation
  • Statistical modeling for public health decision support
View Repository

Education

Bachelor of Science in Computer Science and Engineering

Rajshahi University of Engineering and Technology (RUET)

Rajshahi, Bangladesh | CGPA: 3.08/4.00

Relevant Coursework: Machine Learning, Statistical Learning Theory, Probability and Combinatorics, Advanced Statistics, Data Structures & Algorithms

2019–2025

Core Research Competencies

Statistical Analysis
Machine Learning
Hypothesis Testing
Probability Theory
Bayesian Statistics
Algorithmic Testing
Research Methodology
Academic Writing
Download Complete CV (PDF)