class Roshan:
name = "Roshan Chourasia"
role = "Data Science Fresher"
location = "India"
email = "roshanchourasia1105@gmail.com"
github = "github.com/roshanchourasia001"
interests = ["Machine Learning", "NLP", "Data Visualization", "AI"]
currently = "Building end-to-end ML projects"
open_to = "Internships and Entry-level DS Roles"
fun_fact = "I see patterns in everything — even my chai"
def say_hi(self):
print("Let's connect and build something great!")
me = Roshan()
me.say_hi()
Languages
ML & Data Science
Visualization & BI
Databases
Tools & Platforms
| Project | Description | Stack |
|---|---|---|
| Customer Churn Predictor | ML model predicting telecom churn with 92% accuracy, deployed as web app | Python · XGBoost · Streamlit |
| Sales Analytics Dashboard | Interactive Power BI dashboard for regional sales KPIs and forecasting | Power BI · SQL · DAX |
| Sentiment Analyzer | BERT-based Twitter sentiment classification with REST API | Python · HuggingFace · Flask |
| House Price Predictor | End-to-end regression model with EDA and feature engineering | Python · Sklearn · Streamlit |
| Status | Goal |
|---|---|
| ✅ | Master Python for Data Science |
| ✅ | Build end-to-end ML projects |
| 🔄 | Complete Google Data Analytics Certificate |
| 🔄 | Contribute to open-source ML library |
| 🎯 | Land a Data Science Internship or Job |
| 🎯 | Achieve Kaggle Expert rank |
| 🎯 | Publish articles on Medium or Kaggle |
Deep Learning and Neural Networks
Feature Engineering Techniques
MLOps and Model Deployment on Cloud
Advanced SQL and Window Functions
HuggingFace Transformers and LLMs
Time Series Forecasting
"Without data, you're just another person with an opinion." — W. Edwards Deming
