# Pratiksha Kumbhar

Pratiksha Kumbhar is a remote worker on Himalayas, AI/ML Research Intern at SmartBridge, based in India.

Source: https://himalayas.app/@pratikshakumbhar1

```text
AI/ML intern at SmartBridge who built AI systems for job matching and healthcare research.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 557k+ INR |
| Job categories | AI ML Engineer, Machine Learning Engineer, Data Analyst, NLP Engineer |
| Skills | Machine Learning, AI, Deep Learning, Natural Language Processing, Large Language Models, RAG, Feature Engineering, data preprocessing, Exploratory Data Analysis, Model Evaluation, Python, SQL, scikit learn, TensorFlow, XGBoost |
| LinkedIn | https://linkedin.com/in/pratiksha-kumbhar |
| GitHub | https://github.com/pratikshagkumbhar |

## About

```text
At SmartBridge, I worked on real-world projects involving data analysis, preprocessing, feature engineering, and model performance evaluation using Python. I also cleaned and explored structured datasets to identify patterns and support analytical workflows.

I built an AI Job Recommendation System that matches resumes with job descriptions using TF-IDF and cosine similarity. I developed FastAPI APIs, integrated MongoDB, and created a Streamlit dashboard for recommendations and resume analysis.

For DeepLung, I developed an AI-based Clinical Decision Support System for lung CT classification using an optimized Xception model. I integrated ONNX Runtime and Grad-CAM, and built a React and Flask application deployed on Vercel and Render.

I also developed an AI healthcare research assistant with LangChain and Gemini, using RAG for research-paper Q&A, summarization, and comparison. My research on predicting health impact from air quality was accepted for presentation at the IEEE International Conference on Computing, Communication, Control and Automation (ICCUBEA 2026).
```

## Experience

### AI/ML Research Intern

SmartBridge. Jun 2025 - Jul 2025

```text
Worked on real-world projects involving data analysis, preprocessing, feature engineering, and performance evaluation using Python. Performed data cleaning and exploratory analysis on structured datasets to identify patterns and support analytical workflows.
```

Skills: Python, Pandas, NumPy, Data-Analysis, data-preprocessing, Feature-Engineering, Model-Evaluation

## Education

### MIT Academy of Engineering

B.Tech., Electronics and Telecommunication Engineering. 2023 - Present. Grade: 8.16/10

```text
Pursuing a B.Tech. in Electronics and Telecommunication Engineering with a CGPA of 8.16/10.
```

### Ligade Patil Junior College of Science, Karad

Higher Secondary Certificate (HSC), Science. Grade: 75.67%

```text
Completed Higher Secondary Certificate (HSC) with 75.67%.
```

### Chhatrapati Shivaji Highschool, Vaduj

Secondary School Certificate (SSC), General. Grade: 89.40%

```text
Completed Secondary School Certificate (SSC) with 89.40%.
```

## Tech stack

- NumPy
- Pandas
- MongoDB
- React
- Python
- TensorFlow
- scikit-learn
- Streamlit
- Flask
- FastAPI
- Gemini
- Vercel
- Render
- SQL
- Google Colab
- XGBoost
- LangChain
- ONNX Runtime

To contact Pratiksha, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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