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Turning Data into Business Insights
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Turning Data into Business Insights

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alinkumar/README.md

Alin Kumar — Data Analytics & Machine Learning




DATA ANALYTICS  •  MACHINE LEARNING  •  BUSINESS INTELLIGENCE



Alin Kumar

Data Analytics Student · Machine Learning Enthusiast

I'm passionate about transforming raw data into meaningful insights and practical solutions through analytics, visualization and machine learning.

My projects cover the complete journey from data preparation and EDA to modeling, evaluation and business insights. I enjoy working on problems where data can help people make better decisions.


I learn by building — and build to solve real problems.

🎓 EDUCATION

B.Sc. (Hons.) Computer Science
Mathematics — Minor


📍 BASED IN

India 🇮🇳


🎯 FOCUS

Data · ML · AI · BI


📊

DATA ANALYTICS

EDA
Visualization
Business Insights

🤖

MACHINE LEARNING

Classification
Ensemble Models
Model Evaluation

🧠

AI / COMPUTER VISION

Deep Learning
Transfer Learning
Explainable AI

📈

BUSINESS INTELLIGENCE

Power BI
SQL
KPI & Reporting










📊 Data Analytics

Data Cleaning
EDA
Data Wrangling
Statistics
Visualization
Business Insights

🤖 Machine Learning

Classification
Regression
Feature Engineering
Ensemble Learning
XGBoost
Hyperparameter Tuning

📈 BI & AI

Power BI
DAX
SQL
Deep Learning
Computer Vision
Explainable AI




🎯 PROBLEM

Start with a real-world question.

🔍 DATA

Find patterns that matter.

⚙️ MODEL

Build and evaluate the solution.

💡 IMPACT

Turn results into useful decisions.


Learn by building. Solve with data. Improve with every project.





🤖 AI Industrial Inspection

Computer Vision • Deep Learning • Industrial AI

AI-powered steel surface defect inspection using EfficientNet-B0, transfer learning and Grad-CAM across 10 industrial defect classes.

Performance

Metric Score
Test Accuracy 87.86%
Test Macro F1 79.61%
Validation F1 83.20%

Python PyTorch EfficientNet-B0 Grad-CAM Streamlit


💳 AI Financial Fraud Detection

XGBoost • Risk Intelligence • Explainable AI

End-to-end fraud detection system for imbalanced transaction classification with hyperparameter tuning, threshold optimization and SHAP.

Performance

Metric Score
Accuracy 99.98%
Precision 97.37%
Recall 81.14%
F1 Score 88.52%
ROC-AUC 99.56%

Python XGBoost Scikit-Learn SHAP


🎯 Lead Conversion Intelligence System

Predictive Analytics • Machine Learning • Business Intelligence

A predictive system designed to identify high-potential leads and estimate conversion probability from customer and marketing data.

Final Model — Stacking Classifier

Metric Score
Test Accuracy 87.11%
Precision 80.78%
Recall 74.64%
F1 Score 77.59%

Python Pandas Scikit-Learn XGBoost SQL Power BI


🧠 Brain Tumor Detection

Deep Learning • Medical AI • Computer Vision

Multi-class MRI classification using EfficientNetB0 + Focal Loss, with model explainability through visual interpretation techniques.

Classes

Glioma · Meningioma · No Tumor · Pituitary

Performance

Metric Score
Test Accuracy 77.41%
Macro F1 0.74
Weighted F1 0.73

Python PyTorch EfficientNetB0 Focal Loss


📡 Telecom Customer Retention Analytics

Machine Learning • Churn Analytics • Business Insights

End-to-end customer churn prediction project focused on understanding retention drivers and generating actionable business recommendations.

Workflow

Data CleaningEDAFeature EngineeringMLEvaluationInsights

Python Pandas NumPy Scikit-Learn SQL Plotly XGBoost


📊 HR Recruitment Analytics Dashboard

Power BI • Business Intelligence • Data Analytics

Interactive recruitment dashboard designed to turn hiring data into clear KPIs, trends and workforce insights.

Focus Areas

Recruitment KPIs · Hiring Trends · DAX · Power Query · SQL

Platform

Power BI


☕ Coffee Sales Analytics Dashboard

Power BI • Business Intelligence • Data Analytics

Interactive Power BI dashboard designed to analyze coffee sales performance, product demand, customer ordering patterns, payment behavior, and sales trends.

Key Metrics

Metric Value
Total Sales 112.25K
Average Money 31.65
Total Orders 3,547
Avg Sales / Day 294.61

Focus Areas

Sales Analysis · Product Performance · Payment Analysis · Time Trends

Power BI DAX Power Query Data Analytics



7 PROJECTS  •  ML + AI + BI  •  REAL-WORLD USE CASES




GitHub Contribution Snake




 

 



⭐ Thanks for Visiting!

If you enjoy exploring data-driven solutions, feel free to connect, collaborate, or check out my repositories.


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  1. AI-Powered-Financial-Fraud-Detection-Risk-Intelligence-System AI-Powered-Financial-Fraud-Detection-Risk-Intelligence-System Public

    End-to-end Explainable Financial Fraud Detection System using XGBoost, SHAP, Hyperparameter Tuning, Threshold Optimization, and Streamlit deployment.

    Jupyter Notebook 2

  2. AI_Industrial_Inspection AI_Industrial_Inspection Public

    AI-powered industrial steel surface defect detection using EfficientNet-B0 and Grad-CAM explainability.

    Python 2