# Ayushi Upadhayay

Ayushi Upadhayay is a remote worker on Himalayas, Quantitative Research Virtual Experience at JPMorgan Chase & Co., based in India.

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

```text
Aspiring data analyst with a finance analysis project and four end-to-end analytics projects.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 2544k+ INR |
| Job categories | Data Analyst |
| Skills | Data Analysis, SQL, Python, Data Visualization, Exploratory Data Analysis, Data Cleaning, data preprocessing, Statistical Analysis, Business Reporting, Dashboard Development, Business Intelligence, Data Storytelling, Quantitative Analysis, Database Management Systems, Pandas |
| Portfolio | https://github.com/ayushiupd |
| LinkedIn | https://linkedin.com/in/ayushiupadhayay |
| GitHub | https://github.com/ayushiupd |

## About

```text
I analyzed financial datasets with Python and Excel in the JPMorganChase&Co. Quantitative Research Virtual Experience, using quantitative analysis techniques to draw business insights and present findings.

I built a personal finance dashboard with Python, Pandas, Plotly, and Streamlit. It turns cleaned transaction data into income, expense, refund, and savings KPIs, with interactive charts and filters for exploring spending patterns.

For my customer shopping behavior project, I wrote SQL queries and built an interactive Power BI dashboard to explore purchasing behavior, payment preferences, revenue trends, and customer segments.

I’ve also analyzed restaurant and Netflix datasets, using data cleaning, exploratory analysis, and visualizations to surface trends. I’m actively building a data analytics portfolio on GitHub with documented EDA notebooks and data cleaning scripts.
```

## Experience

### Quantitative Research Virtual Experience

[JPMorgan Chase & Co.](https://himalayas.app/companies/jpmorgan-chase-co). Apr 2026 - Apr 2026

```text
Analyzed financial datasets using Python and Excel to derive business insights. Applied quantitative analysis techniques to solve finance-focused case studies and presented findings to support data-driven decision-making.
```

Skills: Python, Excel, Quantitative-Analysis, financial-data-analysis, Data-Presentation

## Education

### Dronacharya Group of Institutions

Bachelor of Technology, Computer Science Engineering. Grade: 7.17/10

```text
Pursuing a Bachelor of Technology in Computer Science Engineering with an expected graduation in 2028 and a current CGPA of 7.17/10.
```

## Tech stack

- GitHub
- NumPy
- Pandas
- Python
- Streamlit
- Microsoft Excel
- Git
- SQL
- Seaborn
- Matplotlib
- Power BI

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

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