# Anshika Gupta

Anshika Gupta is a remote worker on Himalayas, Data Analytics Job Simulation at Deloitte Australia, based in India.

Source: https://himalayas.app/@anshikagupta6

```text
I build data pipelines, dashboards, and predictive models that turn customer and business data into insights.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 708k+ INR |
| Job categories | Data Analyst, Business Intelligence Analyst, Data Scientist, Machine Learning Engineer |
| Skills | Data Analysis, Business Intelligence, Power BI, DAX, Interactive Dashboards, Tool Tips, SQL, SQL Server, MySQL, Views, Power Query, Excel, Tableau, Python, C++, Pandas, NumPy, scikit learn, Matplotlib, SeaBorn, Exploratory Data Analysis, predictive modeling, Feature Engineering, Machine Learning, Random Forest, Logistic Regression, Statistical Analysis, Natural Language Processing, TF IDF, ETL, SQL Server Management Studio, Anaconda, Jupyter Notebooks, VSCode, Git, GitHub |
| Portfolio | https://github.com/Anshika0819 |
| LinkedIn | https://linkedin.com/in/anshika-gupta-26ab05291 |
| GitHub | https://github.com/Anshika0819 |

## About

```text
I've built end-to-end data projects that transform customer and business data into clear insights and predictive models. My work spans SQL-based ETL, Power BI reporting, Python analytics, and machine learning.

For a telecom churn analysis project, I engineered a SQL Server ETL pipeline for 6,000+ customer records and created an executive Power BI dashboard tracking a 27.0% churn rate and demographic drivers. I also trained a Random Forest model to identify high-risk churn customers.

I've developed a fake-news detection pipeline using NLP, TF-IDF, and Logistic Regression, and analyzed more than 10 years of Amazon bestseller data using Pandas, NumPy, and Matplotlib. Through Deloitte Australia's virtual experience, I built a Tableau dashboard and cleaned and analyzed corporate datasets in Excel.

In JPMorgan Chase & Co.'s quantitative research virtual experience, I used Python Logistic Regression to model credit risk and applied dynamic programming to bucket FICO scores into risk segments. I'm pursuing a Bachelor of Engineering in Information Technology with a 9.19/10 CGPA.
```

## Experience

### Data Analytics Job Simulation

[Deloitte Australia](https://himalayas.app/companies/deloitte-ireland). Mar 2026 - Mar 2026

```text
Built an interactive Tableau dashboard to visualize key performance indicators and forensic data trends. Cleaned and analyzed complex corporate datasets using Excel to derive actionable insights.
```

Skills: Tableau, Excel, Data-Cleaning, Data-Analysis

### Quantitative Research Virtual Experience

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

```text
Implemented Logistic Regression in Python to model credit risk and estimate customer Probability of Default. Applied dynamic programming algorithms to bucket FICO scores into risk segments.
```

Skills: Python, Logistic-Regression, Dynamic-Programming, Credit-Risk-Modeling

## Education

### Institute of Engineering and Technology, DAVV

Bachelor of Engineering, Information Technology. 2023 - Present. Grade: 9.19/10.0

Activities and societies: Relevant Coursework: Database Management Systems (DBMS), Data Structures & Algorithms, Operating Systems, Object-Oriented Programming, Software Engineering

```text
Pursuing a Bachelor of Engineering in Information Technology with a CGPA of 9.19/10.0, expected to graduate in May 2027.
```

### Vaishnav Vidhya Mandir

Higher Secondary Certificate, General. Grade: 90.2%

```text
Completed Higher Secondary Certificate with a percentage of 90.2%.
```

## Tech stack

- Tableau
- GitHub
- NumPy
- Pandas
- Anaconda
- MySQL
- Python
- C++
- scikit-learn
- Git
- SQL
- Seaborn
- Matplotlib
- Power BI

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

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