# Krish Badgujar

Krish Badgujar is a remote worker on Himalayas, B.Tech in Computer Engineering at Vishwakarma Institute of Information Technology, based in India.

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

```text
Computer Engineering student building privacy-preserving ML products and full-stack features with strong DSA fundamentals.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | India |
| Authorized to work in | India |
| Job categories | Software Engineer, Machine Learning Engineer, Front End Developer, Data Scientist, Software Engineer, Database Engineer, IT Software Engineer, Software Engineer Jobs, Software Engineering Jobs, Developer, Software Developer |
| Skills | C++, Python, JavaScript, SQL, scikit learn, Pandas, XGBoost, CatBoost, Feature Engineering, Model Evaluation, SMOTE, F1 Score, ROC AUC, HTML, CSS, React, MySQL, Git, GitHub, K Means, DBSCAN, Data Structures, Object Oriented Programming, DataBase Systems, Operating System, Windows, Gemini, Temporal |

## What I'm looking for

```text
I’m looking for an early-career role where I can build ML-driven, privacy-aware products, turn data into real user impact, and grow through strong engineering mentorship across model evaluation and product development.
```

## About

```text
I’m a B.Tech student in Computer Engineering (CGPA: 8.12/10) who enjoys turning data into usable, user-facing solutions. I build with a mix of strong fundamentals in Data Structures and Algorithms, Object-Oriented Programming, and Database Management Systems, and I enjoy implementing optimized algorithms in C++.

In my projects, I built a machine learning pipeline using XGBoost and CatBoost to predict purchase probabilities from e-commerce user behavior data while preserving user privacy through local processing. I also developed a Chrome extension that extracts product details and delivers real-time predictive insights, integrating Gemini AI for automated product comparison and sentiment-based analysis; for imbalanced datasets, I improved performance using SMOTE and optimized evaluation with F1-score and ROC-AUC. Alongside this, I worked on driver behavior analysis using clustering algorithms like KMeans, GMM, and DBSCAN with 78,000+ OBD-II telemetry windows, engineering 110+ features and creating risk scoring to identify high-risk patterns across 81 trips.
```

## Experience

### B.Tech in Computer Engineering

Vishwakarma Institute of Information Technology. Jan 2022 - Jan 2026

```text
Pursuing a B.Tech in Computer Engineering at VIIT, Pune (CGPA 8.12/10). Coursework and skills cover programming, data structures, databases, operating systems, and core ML tooling.
```

Skills: C++, Python, JavaScript, SQL, HTML, CSS, MySQL, Git, GitHub, scikit-learn, Pandas, XGBoost, Feature-Engineering, Model-Evaluation, Data-Structures, Object-Oriented-Programming, DataBase-Systems, Operating-System

### CBSE Class X

Podar International School. Jan 2020 - Present

```text
Completed CBSE Class X at Podar International School, Jalgaon (91%).
```

### Driver Behaviour Analysis OBD-II

[GitHub](https://himalayas.app/companies/github)

```text
Developed an unsupervised driver behavior analysis pipeline using clustering over 78,000+ OBD-II telemetry windows. Created driving context risk scoring by engineering 110+ telemetry features and combining clustering metrics with reconstruction error and anomaly/instability analysis.
```

Skills: K-Means, Unsupervised-Learning, Clustering, Feature-Engineering, Sliding-Window-Extraction, Reconstruction-Error, Anomaly-Detection

### E-commerce Analyzer Chrome Extension

[GitHub](https://himalayas.app/companies/github)

```text
Built a Chrome extension and ML pipeline to predict e-commerce purchase probabilities from user behavior data using privacy-preserving local processing. Integrated Gemini AI for product comparison and sentiment-based analysis within the extension.
```

Skills: XGBoost, CatBoost, Chrome-Extension-development, Gemini, Sentiment-Analysis, Feature-Engineering, SMOTE, F1-Score

## Education

### Vishwakarma Institute of Information Technology

B.Tech, Computer Engineering. 2022 - 2026. Grade: 8.12 / 10

Activities and societies: Machine learning and AI projects incl. XGBoost/CatBoost e-commerce analyzer (local privacy), Gemini-based product comparison, and driver behavior analysis using KMeans/GMM/DBSCAN on 78k+ OBD-II windows.

```text
Pursuing a B.Tech in Computer Engineering at Vishwakarma Institute of Information Technology (VIIT) in Pune. Achieved a CGPA of 8.12/10.
```

### Podar International School, Jalgaon

CBSE Class X, Secondary Education (CBSE Class X). 2020 - Present. Grade: 91%

```text
Completed CBSE Class X at Podar International School, Jalgaon. Scored 91% in the CBSE Class X examination.
```

## Tech stack

- GitHub
- Pandas
- MySQL
- JavaScript
- scikit-learn
- Windows
- Gemini
- SQL
- XGBoost
- CatBoost
- Temporal
- X++

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

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