# Soumy Raghuvanshi

Soumy Raghuvanshi is a remote worker on Himalayas, Data Analytics Intern at IBM SkillsBuild, based in India.

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

```text
Data analytics and data science enthusiast building predictive models and dashboards.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | India |
| Authorized to work in | India |
| Job categories | Data Analyst, Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, Android Developer, Data Analytics Specialist, Research Data Analyst, Data Analyst |
| Skills | Python, SQL, Java, JavaScript, Power BI, Tableau, DAX, Power Query, ETL, Data Cleaning, Data Visualization, Dashboard Development, Machine Learning, Deep Learning, predictive modeling, Data Mining, Model Evaluation, CNN, Web Application Development, Android Studio, Firebase, Jupyter Notebooks, Visual Studio Code, Git, MySQL, Microsoft SQL Server, Android, GitHub, Jupyter, Data Modeling |

## What I'm looking for

```text
I’m looking to grow as a data analyst/data scientist by building predictive models and BI dashboards. I want hands-on work with real datasets, strong analytics practices, and opportunities to learn modern AI techniques through impactful projects.
```

## About

```text
I’m a Data Science and Analytics enthusiast skilled in Java, SQL, Power BI, and machine learning, focused on turning messy data into clear, decision-ready insights. I enjoy building predictive models and interactive dashboards that people can actually use.

Through my IBM SkillsBuild Summer Internship (Data Analytics), I completed 6 weeks of work on data cleaning, exploratory data analysis (EDA), and data visualization. I analyzed real-world datasets to generate insights for data-driven decision making.

My projects reflect my end-to-end approach. For the “FIFA World Cup Analysis Dashboard,” I modeled data using Galaxy Schema, ran ETL/data cleaning via Power Query and SQL, and built key metrics with DAX to visualize trends.

I also built “Agro.ai” for crop disease detection using a CNN model trained on 87,000+ images (92% classification accuracy) and improved results by reducing false positives with advanced augmentation. Alongside this, I created an OS memory allocation simulator (First Fit, Best Fit, Worst Fit) in JavaScript, and I’ve been recognized by ranking 1st in my department (Semester 3) at NMIMS.
```

## Experience

### Data Analytics Intern

IBM SkillsBuild. Jun 2024 - Aug 2024

```text
Completed a 6-week IBM SkillsBuild Data Analytics internship, performing data cleaning, exploratory data analysis (EDA), and data visualization to generate insights from real-world datasets for data-driven decision-making.
```

Skills: Business-Intelligence, Data-Cleaning, Data-Visualization, Data-Analysis

## Education

### MPSTME, NMIMS University

Bachelor of Technology (B.Tech), Information Technology. 2023 - 2027. Grade: CGPA: 3.82/4.00

Activities and societies: Ranked 1st in the Department, Semester 3 (GPA: 3.80/4.00); participated in multiple inter-college and national-level hackathons.

```text
Pursuing a B.Tech in Information Technology at MPSTME, NMIMS University, with CGPA 3.82/4.00. Achieved strong academic standing and participated in hackathons.
```

### Vidya Bhavan Public School A B Road Indore

2022 - 2023. Grade: CBSE: 76.2%

```text
Studied at Vidya Bhavan Public School in Indore. Completed CBSE coursework with a reported score of 76.2%.
```

### Abhyuday Vidyasthali Margiya School

2020 - 2021. Grade: CBSE: 92.8%

```text
Attended Abhyuday Vidyasthali Margiya School. Completed CBSE coursework with a reported score of 92.8%.
```

## Tech stack

- GitHub
- Jupyter
- MySQL
- Microsoft SQL Server
- Gmail
- Android Studio
- JavaScript
- Java
- Firebase
- SQL
- Android

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

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