# Aashish Mallah

Aashish Mallah is a remote worker on Himalayas, Logistics Data Analyst Intern at Yuva Intern, based in India.

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

```text
Entry-level data analyst who analyzed shipment delays and costs at Yuva Intern and built Power BI dashboards for returns and refunds.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 70k+ INR |
| Job categories | Data Analyst, Data Analyst, Financial Analyst, Marketing Analyst, Business Data Analyst, Business Analyst |
| Skills | Data Analysis, SQL, Python, Power BI, Data Cleaning, Data Visualization, Data Modeling, ETL, KPI Reporting, Business Intelligence, Power Query, DAX, Pandas, NumPy, Machine Learning |
| LinkedIn | https://linkedin.com/in/aashish-mallah-873395314 |
| GitHub | https://github.com/aashishmallah3/ |

## What I'm looking for

```text
I'm seeking an entry-level Data Analyst role where I can apply my analytical and programming skills to solve real-world problems.
```

## About

```text
At Yuva Intern, I cleaned and analyzed shipment records using Python, Excel, and SQL to identify delivery delays and cost issues across regions and carriers. I built Power BI dashboards to track performance and trends, then shared reports with recommendations to improve delivery reliability.

For my Return & Refund Analysis Dashboard, I used Power Query to clean and transform raw data into a structured model. I developed DAX measures for orders, return rates, and refund amounts, and analyzed return reasons and refund trends.

In my Customer Shopping Behavior Analysis project, I cleaned 3,900 transactions with Python and Pandas, then used SQL to analyze revenue, discounts, subscriptions, products, and customer segments. I presented the findings in an interactive Power BI dashboard.

I also built a machine learning application for early chronic kidney disease detection, processing 400+ patient records and comparing Random Forest and AdaBoost models. I’m seeking an entry-level Data Analyst role where I can apply my analytical and programming skills to real-world problems.
```

## Experience

### Logistics Data Analyst Intern

Yuva Intern. Jul 2024 - Aug 2024

```text
Cleaned and analyzed shipment records using Python, Excel, and SQL to identify delivery delays and cost issues. Built Power BI dashboards to track performance and trends, and shared reports with recommendations to improve delivery reliability.
```

Skills: Python, SQL, Excel, Power-BI, Data-Cleaning, Data-Analysis, Data-Visualization, KPI-Reporting

## Education

### Universal College of Engineering

Bachelors in Data Engineering, Data Engineering. 2022 - 2026. Grade: 6.36

Activities and societies: Data Engineering graduate with a strong foundation in Python, SQL, and Big Data. Passionate about building data-driven solutions and developing scalable data pipelines. Experienced in data cleaning, analysis, visualization, and dashboard development using Power BI, Excel, Seeking an entry-level Data Analyst role to apply analytical and programming skills in solving real-world problems.

```text
Pursuing a Bachelor's degree in Data Engineering, expected to complete in 2026.
```

### Thakur Shyamnarayan Engineering College

Diploma in Computer Engineering, Computer Engineering. 2018 - 2022

```text
Completed a Diploma in Computer Engineering from 2018 to 2022.
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### A.V.M High School

SSC, General. 2006 - 2018

```text
Completed SSC (Secondary School Certificate) from 2006 to 2018.
```

## Tech stack

- NumPy
- Pandas
- Python
- scikit-learn
- Microsoft Excel
- SQL
- Power BI

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

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