# Samiksha Abdar

Samiksha Abdar is a remote worker on Himalayas, AI/ML Intern at MedTourEasy, based in India.

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

```text
AI/ML engineer intern turning data into accurate, deployable models and RAG applications.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | India |
| Authorized to work in | India |
| Job categories | Machine Learning Engineer, Machine Learning Engineer, AI Engineer, Data Scientist, Backend Engineer, AI ML Engineer |
| Skills | NodeJS, Python, SQL, Java, JavaScript, TypeScript, C, Machine Learning, Deep Learning, LLM, Generative AI, Agentic AI, RAG, Prompt Engineering, Recommendation Systems, predictive modeling, Semantic Search, Embeddings, Feature Engineering, Classification, regression, Clustering, TensorFlow, PyTorch, scikit learn, LangGraph, Hugging Face, fastAPI, Flask, REST APIs, API Integration, Power BI, NLP, Docker, Kubernetes, Git, CI Pipelines, MySQL, PostgreSQL, MongoDB, Faiss, Vector Databases, GitHub, NumPy, Pandas, Verba |

## What I'm looking for

```text
I’m looking for a role where I can build and deploy ML/AI systems—especially RAG and predictive models—using strong data pipelines and clean APIs, with mentorship and room to grow from internship into measurable product impact.
```

## About

```text
I’m an AI/ML engineer intern focused on building practical machine learning solutions—from data pipelines to deployed models. At IIT Bombay, I engineered and deployed a hybrid recommendation engine using feature engineering and threshold optimization, improving recommendation quality to 0.78 Precision@K, and I built a churn prediction framework with gradient boosting that reached 85% prediction accuracy.

In my AI/ML internship at MedTourEasy, I created end-to-end preprocessing pipelines on 10K+ healthcare records using Python, Pandas, and NumPy, improving data quality and reducing data ingestion time by 40%. I also developed Power BI dashboards that accelerated analytical reporting by 30%—and through my projects, I’ve leaned into Generative AI and RAG (FAISS + LangChain/FastAPI) to reduce query latency by 40% and achieve 90% query relevance accuracy.
```

## Experience

### AI/ML Intern

MedTourEasy. Oct 2025 - Mar 2026

```text
Built end-to-end data preprocessing and transformation pipelines on 10K+ healthcare records using Python, Pandas, and NumPy, improving data quality and reducing data ingestion time by 40%. Conducted EDA and delivered interactive Power BI dashboards to analyze healthcare trends and accelerate KPI reporting by 30%.
```

Skills: data-preprocessing, data-transformation, Python, Pandas, NumPy, Power-BI, Healthcare-Analytics, KPI-Reporting, Data-Quality

### Machine Learning Intern

IIT Bombay. Jan 2025 - Jun 2025

```text
Engineered and deployed a hybrid recommendation engine on 10K+ user-item interactions, improving Precision@K to 0.78 through feature engineering and threshold optimization. Built a gradient-boosting churn prediction framework (85% accuracy) and processed 15K+ learner records using Python, Pandas, and SQL to deliver clean, model-ready features.
```

Skills: Feature-Engineering, Precision@K-Optimization, Churn-Modeling, Gradient-Boosting, Python, Pandas, SQL, predictive-modeling

## Education

### D.Y. Patil College of Engineering and Technology

Bachelor of Technology, Computer Science and Engineering. Grade: CGPA: 8.8 / 10

```text
Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.8/10. Completed coursework in machine learning, artificial intelligence, deep learning, NLP, data structures and algorithms, data science, probability and statistics, database management systems, and cloud computing.
```

## Tech stack

- GitHub
- Kubernetes
- NumPy
- Pandas
- MySQL
- PostgreSQL
- MongoDB
- Gmail
- Node.js
- JavaScript
- Java
- TensorFlow
- PyTorch
- scikit-learn
- FastAPI
- SQL
- Hugging Face
- LangChain
- Agentic
- Faiss
- LangGraph
- Jan
- Verba

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

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