# Shubham Gupta

Shubham Gupta is a remote worker on Himalayas, Data Scientist-II at Airbus India Private Limited, based in India.

Source: https://himalayas.app/@shubhamgupta13

```text
Data Scientist at Airbus India building predictive maintenance models that cut unscheduled maintenance by 22%.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 2213k+ INR |
| Job categories | Data Scientist, Machine Learning Engineer |
| Skills | Machine Learning, predictive modeling, Time Series Analysis, Statistical Modeling, regression, Classification, Clustering, Anomaly Detection, RAG, Natural Language Processing, Computer Vision, Data Engineering, ETL, MLOps, A B Testing |
| LinkedIn | https://linkedin.com/in/shubhamg20 |
| GitHub | https://github.com/seeker-99 |

## About

```text
At Airbus India Private Limited, I build predictive monitoring models from operational time-series data. They reduced unscheduled maintenance by 22% and operational failures by 15%.

I fine-tuned models and tested them before deployment to bring false-positive alerts from 10% to 3%. I also monitored live model performance using AWS SageMaker.

I applied clustering and anomaly detection to historical data to uncover fuel leakage and non-optimal usage patterns, saving 100 tons of fuel. I also built a RAG Agent to help engineers resolve queries 45% faster.

During my Airbus India Private Limited internship, I worked on fault-prediction models and built fault models in Simulink. In a project, I developed a PyTorch attention Encoder-Decoder model to translate regional-language sign boards into English.
```

## Experience

### Data Scientist-II (current)

[Airbus India Private Limited](https://himalayas.app/companies/airbus). Jul 2023 - Present

```text
Leveraged statistical modeling on operational time-series data to forecast failures, reducing unscheduled maintenance by 22% and operational failures by 15%. Reduced false positive alert rate from 10% to 3% and led adoption of an LLM-based document validation workflow, increasing validation accuracy by 65%.
```

Skills: Python, NumPy, Pandas, scikit-learn, PyTorch, Spark, SQL, AWS, Machine-Learning, C-C++, MLFlow, Git, AWS-Sagemaker, PySpark, LlamaIndex, Lang-Chain, Crew-AI, fastAPI, ETL, CI-CD, Root-Cause-Analysis, A-B-Testing, MLOps

### Internship – Early Bird 2.0

[Airbus India Private Limited](https://himalayas.app/companies/airbus). Jun 2022 - Aug 2022

```text
Performed model selection, feature engineering, and EDA for fault-prediction classification models using KNN, SVM, XGBoost, and LightGBM. Built fault models in Simulink to enable early detection of system failures.
```

Skills: KNN, SVM, XGBoost, LightGBM, Design-of-Experiments-(DOE), Simulink, Feature-Engineering, EDA

## Education

### Jadavpur University

Bachelor of Engineering, Mechanical Engineering. 2019 - 2023. Grade: 8.82/10

Activities and societies: Coursework: Brain Computer Interface, Numerical Optimisation, Control Systems

```text
B.E. in Mechanical Engineering from Jadavpur University, with a CGPA of 8.82/10, from 2019 to 2023.
```

## Tech stack

- NumPy
- Pandas
- PySpark
- Python
- PyTorch
- MLflow
- scikit-learn
- FastAPI
- Git
- CUDA
- SQL
- XGBoost
- LightGBM
- LangChain
- LlamaIndex
- CrewAI
- AWS

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

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