# Muskaan User

Muskaan User is a remote worker on Himalayas, Data Scientist at Carey International, based in United States.

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

```text
Data Scientist at Carey International who forecast trip demand and identified high-value accounts across 470K+ annual trips.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 3151k+ INR |
| Job categories | Data Scientist, Machine Learning Engineer, Data Engineer |
| Skills | Data Science, Machine Learning, Demand Forecasting, Customer Segmentation, RAG, Large Language Models, XGBoost, Time series Forecasting, Markov Models, Feature Engineering, MLOps, Data Pipelines, Model Deployment, Python, SQL |

## About

```text
At Carey International, I developed Holt–Winters models for city-level trip volume that achieved 12% MAPE on rolling backtests. I evaluated forecast-driven fleet recommendations against manual planning to support capacity planning and reduce under-capacity risk.

I also developed RFM-based customer segments and Ideal Customer Profiles across 7 segments and 470K+ annual trips, increasing qualified accounts identified by approximately 26%. My analysis of trends across 2,000+ corporate accounts surfaced growth, decline, and revenue opportunities.

At Bahwan CyberTek, I developed and deployed a Retrieval-Augmented Generation chatbot for real-time data queries. I also built demand forecasting models that reduced MAE by 15% over the baseline and deployed them as Flask REST APIs on AWS.

At Calix, I developed an XGBoost classifier that improved F1-score by 22% over baseline and built Looker dashboards for subscriber segmentation. As a Data Science Intern at RAPP, I worked on ROAS prediction and marketing mix modeling, including data pipelines that reduced processing time from 3 minutes to 45 seconds.
```

## Experience

### Data Scientist

Carey International. Nov 2025 - Jul 2026

```text
Developed Holt-Winters demand forecasting models and RFM-based customer segmentation to improve fleet capacity planning and identify high-value accounts. Built LLM-powered account intelligence to accelerate investigation of service-quality trends.
```

Skills: Python, SQL, Oracle-DB, AWS, Holt-Winters, R-FM, Customer-Segmentation, LLM, RAG

### ML Software Engineer

Bahwan CyberTek. Jul 2024 - Nov 2025

```text
Developed and deployed a RAG chatbot using DeepSeek and XGBoost-based demand forecasting models, reducing MAE by 15%. Deployed models as Flask REST APIs on AWS with PostgreSQL pipelines.
```

Skills: N8n, PostgreSQL, Flask, AWS, RAG, Deep-Seek, XGBoost, Demand-Forecasting, REST-APIs

### Software Engineer

Calix. Oct 2023 - Jan 2024

```text
Developed and deployed an XGBoost classifier for subscriber segmentation, improving F1-score by 22%. Built end-to-end ML pipelines on AWS and Looker dashboards for segment monitoring.
```

Skills: Kubeflow, AWS, Looker, XGBoost, ML-Pipelines, Data-Integration

### Data Science Intern

RAPP. Jun 2022 - Aug 2022

```text
Developed LSTM and Gaussian Process Boost models for ROAS prediction and built PySpark-Snowflake pipelines for marketing data, reducing processing time from 3 minutes to 45 seconds. Contributed to a 20% increase in sales via Markov-chain customer behavior modeling.
```

Skills: TensorFlow, MLFlow, Power-BI, PySpark, Snowflake, SQL, LSTM, Gaussian-Process, Markov-Models

## Education

### University of Southern California

Master of Science, Electrical Engineering. 2021 - 2023. Grade: 3.81/4.0

Activities and societies: Relevant courses include Machine Learning: Supervised & Unsupervised, Cloud Computing, and Deep Learning Systems.

```text
Pursued a Master of Science in Electrical Engineering with a specialization in Machine Learning and Data Science, achieving a GPA of 3.81/4.0.
```

### Symbiosis International University

Bachelor of Technology, Electronics and Telecommunication. 2016 - 2020. Grade: 8.5/10

```text
Earned a Bachelor of Technology in Electronics and Telecommunication with a GPA of 8.5/10.
```

## Tech stack

- Snowflake
- Tableau
- Looker
- PySpark
- PostgreSQL
- Python
- TensorFlow
- PyTorch
- MLflow
- Kubeflow
- Flask
- SQL
- XGBoost
- Weaviate
- Power BI

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

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