MOHAMMAD KAIF
Aligarh
Summary
Dynamic computer science professional skilled in Python, data structures, and backend APIs. Experienced in financial analysis and market research to support strategic investment decisions. Proven track record of enhancing user experiences through web development and integration. Strong collaborative skills in cross-functional team environments.
Overview
1
1
year of professional experience
1
1
Certification
Work History
fellow@MarqueeEquity-Raising Capital
Marquee Equity
Aligarh
07.2025 - Current
- Conducted in-depth market research to identify investment opportunities.
- Prepared comprehensive financial presentations and client reports.
- Collaborated with senior analysts to develop and evaluate investment strategies.
Web development Intern
Prodigy Infotech
Aligarh
04.2024 - 06.2024
- Developed and integrated backend APIs to enhance user experience.
- Optimized web performance and scalability through best coding practices.
Education
Master in Computer Science and Application -
Aligarh Muslim University
Aligarh07-2025
Bachelor of Science - Computer Application
Aligarh Muslim University
Aligarh07-2023
Skills
- Languages: Python, Java, SQL, C/C, JavaScript
- Framework: HTML5, CSS3, JavaScript
- Developer tools: VS Code, PyCharm, IntelliJ, and Canva
- Coursework: Advanced Database Systems, Machine Learning, Software Engineering
Certification
- Google cybersecurity
- Certification in database management systems
- IBM Data Science Fundamentals with Python and SQL
- Create a promotional video using Canva
PROJECT
1. Decentralized Identity Management System
- Built a secure identity management system using blockchain and IPFS for decentralized storage
- Integrated MetaMask for authentication and Ethereum-based identity transactions
- Used Web3.Storage to store encrypted identity docs with CID references
- Implemented DID standards for user-controlled, verifiable identities
- Ensured privacy and immutability, removing reliance on centralized authority.
2. Movies Performance Prediction System
- Developed a movie performance prediction system using Python and machine learning libraries.
- The project leverages tools such as scikit-learn and Pandas to analyze historical movie data,budget, genre, cast.
- Implemented various predictive models like linear regression and random forests to forecast box office success and ratings.
- Used natural language processing (NLP) for sentiment analysis of user reviews, improving prediction accuracy.
Languages
Hindi
First Language
English
Advanced
C1
Urdu
Proficient
C2
Arabic
Beginner
A1
Timeline
fellow@MarqueeEquity-Raising Capital
Marquee Equity
07.2025 - Current
Web development Intern
Prodigy Infotech
04.2024 - 06.2024
Master in Computer Science and Application -
Aligarh Muslim University
Bachelor of Science - Computer Application
Aligarh Muslim University
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