Mohammed Raazi

Data Analyst & Software Developer
Bangalore, IN.

About

Highly skilled Data Analyst and Software Developer with 3+ years of experience specializing in Python, SQL, Machine Learning, and full-stack development. Proven ability to deliver enterprise-grade solutions, achieving 97% compliance rates and significantly improving user engagement by up to 25%. Possesses strong expertise in AI/ML, FastAPI, React.js, and data visualization, complemented by hands-on fintech development experience.

Work

Bluestock Fintech
|

Software Development Engineer (SDE) - Intern

Summary

Developed and maintained fintech applications, collaborating with cross-functional teams to deliver scalable financial technology solutions and gain hands-on experience in payment systems, trading platforms, and financial analytics.

Highlights

Developed and maintained robust fintech applications, adhering to modern software development practices and agile methodologies.

Collaborated cross-functionally to implement scalable backend APIs and intuitive frontend interfaces, optimizing financial data processing and user management.

Gained practical expertise in the fintech domain, contributing to projects involving payment systems, trading platforms, and financial analytics.

Education

Don Bosco Institute of Technology

Bachelor of Engineering

Artificial Intelligence and Data Science

Certificates

Machine Learning For All

Issued By

Vanderbilt University (Coursera)

Google Data Analytics Certificate

Issued By

Google (Coursera)

Python for Data Science, AI and Development

Issued By

IBM (Coursera)

Database and SQL for Data Science

Issued By

IBM (Coursera)

Skills

Programming Languages

Python, SQL, Java, JavaScript, Bash, Shell Scripting.

Web and App Development

FastAPI, React.js, Flutter, Dart, HTML, CSS, REST APIs, Microservices Architecture.

Data Science and Analytics

Pandas, NumPy, Statistical Analysis, Data Visualization, Data Mining.

Machine Learning

TensorFlow, Scikit-learn, Natural Language Processing, Computer Vision, Deep Learning.

Database and Cloud

PostgreSQL, MongoDB, AWS, Docker, Git, Vercel.

Business Intelligence

Power BI, Tableau, Microsoft Excel, Data Visualization, Reporting.

Specialized Skills

OCR, Accessibility (WCAG), Fintech Applications, App Development, Agile Development.

Projects

Edu-Genie Lab

Summary

Developed an AI-driven educational platform designed to serve a large user base with personalized content delivery across multiple languages, leveraging a microservices architecture.

STEMSense

Summary

Engineered an accessibility-focused learning platform, integrating advanced OCR and text-to-speech capabilities to support visually impaired users and ensure WCAG compliance.

Vulnerability Detection Tool

Summary

Developed an AI-powered security analysis platform using Streamlit and CodeBERT for real-time code analysis and automated vulnerability detection and reporting.