#!/usr/bin/python
# -*- coding: utf-8 -*-
class Yogesh:
def __init__(self):
self.username = 'Yogiii13'
self.name = 'Yogesh Yadav'
self.position = 'Data Scientist & AI-ML Engineer'
self.web = 'https://github.com/Yogiii13'
self.code = {
'languages': ['Python', 'SQL', 'JavaScript'],
'ml_frameworks': ['Scikit-learn', 'TensorFlow', 'Keras', 'PyTorch'],
'data_tools': ['Pandas', 'NumPy', 'Plotly', 'Tableau'],
'databases': ['MongoDB', 'PostgreSQL', 'MySQL'],
'deployment': ['Docker', 'Flask', 'FastAPI', 'Streamlit']
}
self.achievements = {
'model_accuracy': '95%',
'efficiency_improvement': '35%',
'scholarship': 'JEE Mains Merit (Top 5%)',
'projects': 5
}
def __str__(self):
return f"{self.name} | {self.position}"
me = Yogesh()
print(me)
| π― Achievement | π Details |
|---|---|
| π Scholarship | Full 4-year Merit Scholarship (JEE Mains - Top 5%) |
| π§ ML Accuracy | 95% accuracy in medical diagnosis system |
| π Impact | 35% efficiency improvement through AI automation |
| π Scale | Managed 11.7M+ records in production system |
| ποΈ Voice AI | 92% speech recognition accuracy |
| π₯ Leadership | Vice President, Performing Arts Club |
| π Certifications | UiPath β’ Neo4j β’ Zero Trust |
Edunet Foundation | Feb 2024 - Mar 2024
- π Researched 50+ clinical sources for AI implementation
- β‘ Developed automation improving efficiency by 35%
- π Created technical documentation reducing timelines by 20%
Altair Eduskills | Jan 2024 - Mar 2024
- π― Increased model accuracy by 15% through optimization
- β±οΈ Reduced data processing time by 25%
- π Contributed to 9% efficiency improvement across business units
+ π Building production-ready ML models for healthcare & business applications
+ π± Learning advanced MLOps, model deployment, and deep learning architectures
+ π― Open to collaborate on AI/ML projects that create real-world impact
+ πΌ Seeking full-time Data Scientist/AI-ML Engineer opportunities in India & UAE
+ π« Reach me: [email protected]- π Full scholarship recipient (Top 5% JEE Mains)
- π Vice President of Performing Arts Club
- π Hackathon participant & problem solver
- π Avid learner exploring latest ML research papers
- π― Goal: Deploy 10 production ML models in 2024-25






