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idesmukh committed Jun 2, 2024
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## me
---
layout: home
title: Home
---

# me

I am an MSc Computing and Information Systems student at Queen Mary University of London expecting to graduate in September 2024. My interests include distributed systems, algorithms and finance.

## education
# education

**MSc Computing and Information Systems (Software Systems stream)**
Queen Mary University of London (2023 - 2024 expected)

- **MSc Computing and Information Systems (Software Systems stream)**, Queen Mary University of London (2023 - 2024 expected)
- Courses: Computer Architecture and Networks, Computer Programming, Software Engineering, Database Systems, Interactive System Design, Data Analytics, Security and Authentication, Risk and Decision Making for Data Science and AI
Courses: Computer Architecture and Networks, Computer Programming, Software Engineering, Database Systems, Interactive System Design, Data Analytics, Security and Authentication, Risk and Decision Making for Data Science and AI

## skills
# skills

- Programming Languages: Python, HTML, CSS, JavaScript, React, SQL
- Web Development: HTML, CSS, JavaScript, React
- Databases: SQL
- Design Tools: Figma
- Version Control: Git
- Machine Learning: Decision Trees, K-Nearest Neighbors

## projects
# projects

### User Interface Design and Prototyping
- Design and prototype development of 'Thrive' - a mobile app to help autistic people build workplace skills through online courses, using Figma.
## User Interface Design and Prototyping
Design and prototype development of 'Thrive' - a mobile app to help autistic people build workplace skills through online courses, using Figma.

### Data Analytics with Python
- Design and implementation of a dashboard for analyzing trends in Covid-19 data using Python.
## Data Analytics with Python
Design and implementation of a dashboard for analyzing trends in Covid-19 data using Python.

### Database Design
- Design and implementation of a database for a college library using SQL.
## Database Design
Design and implementation of a database for a college library using SQL.

### Corporate Financial Risk Level Prediction
- Predicted corporate financial risk levels using historical financial data with Decision Tree and K-Nearest Neighbors Classification algorithms.
## Corporate Financial Risk Level Prediction
Predicted corporate financial risk levels using historical financial data with Decision Tree and K-Nearest Neighbors Classification algorithms.

## contact
# contact

- Email: [ibad.desmukh@gmail.com](mailto:ibad.desmukh@gmail.com)
- GitHub: [github.com/idesmukh](https://github.com/idesmukh)
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