Aspiring Data Scientist and Data Analyst passionate about transforming raw data into actionable insights using Python, Machine Learning, SQL, Statistics, Power BI, and Tableau.
This repository showcases my end-to-end data science projects, machine learning models, exploratory data analysis, statistical analysis, forecasting systems, and real-world business case studies.
I enjoy solving real-world business problems using data, statistics, and machine learning. My goal is to build scalable, production-ready data science solutions that enable organizations to make intelligent, data-driven decisions.
- Data Cleaning
- Data Wrangling
- Exploratory Data Analysis (EDA)
- Statistical Analysis
- Feature Engineering
- Model Evaluation
- Predictive Analytics
- Business Intelligence
- Dashboard Development
- Linear Regression
- Logistic Regression
- Ridge Regression
- Lasso Regression
- Random Forest
- Gradient Boosting
- K-Means Clustering
- Hyperparameter Tuning
- Pipeline & ColumnTransformer
- Explainable AI (SHAP)
Data-Science-Portfolio
│
├── 📁 Python
├── 📁 Statistics_and_EDA
├── 📁 Machine_Learning
├── 📁 NumPy_Pandas
├── 📁 Resume_Projects
├── 📁 SQL_Projects
├── 📁 PowerBI_Dashboards
├── 📁 Tableau_Dashboards
├── 📁 Images
├── 📁 Resume
├── 📁 Certifications
│
├── README.md
├── LICENSE
└── .gitignore
| Project | Category | Key Technologies |
|---|---|---|
| 🚀 Retail Intelligence & Forecasting System | End-to-End Data Science | Python, Machine Learning, Prophet, SHAP, Streamlit |
| 🚢 Titanic Survival Prediction | Classification | Logistic Regression, Pipeline, FastAPI |
| 🏠 House Price Prediction | Regression | Ridge, Lasso, Feature Engineering |
| 🚗 Toyota Corolla Price Prediction | Regression | Multiple Linear Regression |
| 🩺 Diabetes Prediction | Healthcare Analytics | Logistic Regression, EDA |
| 📊 Sales & Discounts Analysis | Statistics & EDA | Python, Pandas, Visualization |
| 🏥 Hospital Patient Analysis | Healthcare Analytics | Data Cleaning, SQL, Pandas |
| ❤️ Cardiotocographic EDA | Medical Data Analysis | EDA, Statistics |
| 📈 Bombay Hospitality Cost Analysis | Hypothesis Testing | Statistical Inference |
| 📉 Estimation & Confidence Intervals | Statistics | Confidence Intervals |
Business Problem
↓
Data Collection
↓
Data Cleaning
↓
Exploratory Data Analysis
↓
Feature Engineering
↓
Model Building
↓
Hyperparameter Tuning
↓
Model Evaluation
↓
Deployment
↓
Business Insights
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✔ Data Cleaning
✔ Exploratory Data Analysis (EDA)
✔ Statistical Analysis
✔ Machine Learning
✔ Feature Engineering
✔ Model Evaluation
✔ Explainable AI (SHAP)
✔ Predictive Analytics
✔ Time Series Forecasting
✔ Dashboard Development
✔ Business Intelligence
✔ Data Storytelling
- 📊 End-to-end Machine Learning Projects
- 📈 Business Analytics Case Studies
- 🏥 Healthcare Analytics Projects
- 🛒 Retail Intelligence Solutions
- 📉 Statistical Analysis & Hypothesis Testing
- 📊 Interactive Dashboards (Power BI & Tableau)
- 🚀 Production-Ready ML Pipelines
- 🌐 Streamlit & FastAPI Applications
This repository includes certifications in:
- Python
- SQL
- Machine Learning
- Data Analytics
- Data Science
- Power BI
- Tableau
📁 See the Certifications folder.
My latest resume is available in the Resume folder.
- Deep Learning
- Natural Language Processing (NLP)
- MLOps
- Data Engineering
- Cloud Deployment
- Generative AI
- Large Language Models (LLMs)
LinkedIn:
https://www.linkedin.com/in/kailash-singh-35b2961b0/
GitHub:
https://github.com/kailash4454
Email:
kailashsingh2203@gmail.com