- π 98% system reliability in professional IoT projects
- π 25% efficiency boost in customer resolution strategies
- π€ Built stress prediction model with 85% accuracy
- β‘ Automated reports saving 6+ hours/week
- π Contributed to open-source used by 1K+ users
π§© Built IoT systems with ESP8266/Raspberry Pi
π Engineered REST APIs for ThingSpeak cloud
π§ͺ pytest-driven testing achieving 98% reliability
π₯ PEPS-standard code reviews
π Automated 20+ weekly reports with Excel Power Query
π Identified trends in 5K+ customer queries
π Created Power BI dashboards for Zendesk analytics
βοΈ Authored 15+ Python/SEO articles
π Boosted web traffic by 25%
βΏ Implemented accessibility standards
| Project | Tech Stack | Highlights |
|---|---|---|
| Mental Health Analytics π§ | Python, Pandas, Random Forest | 85% prediction accuracy from 5K+ records |
| IoT Data Pipeline π | FastAPI, ThingSpeak, pytest | 98% system reliability |
| Remote Work Analyzer π‘ | SQL, Power BI, Matplotlib | Identified 22% productivity patterns |
B.E. Electronics & Telecommunications
π« Shri Sant Gajanan Maharaj College (7.04 CGPA)
π Certifications:
- Python for Data Analysis (Kaggle 2024)
- AWS Cloud Practitioner (In Progress)