Iflah Jamil

Developed a Random Forest model to classify startup success based on investment data. Performed data cleaning, target engineering, and hyperparameter tuning with GridSearchCV. Achieved maximum accuracy and visualized key insights using Seaborn and Matplotlib.

Developed an AI-powered tool using Python and NLP techniques to generate syntactically correct and inclusive code snippets. Implemented keyword detection and bias flagging to identify non-inclusive language in comments, variable names, and documentation. Provided real-time, accessibility-focused suggestions to enhance equity and readability in software development.

Contributed to a scalable E-commerce platform using Python and microservices architecture. Implemented modular features including user authentication, product catalog, and cart management as independent services. Demonstrated the value of decentralized, user-centric design for building adaptable and resilient platforms.

Designed and implemented a semantic recommendation system using ontology to model domain knowledge and relationships. Enabled personalized, context-aware suggestions through relationship mapping and a user-friendly interface. Showcased semantic reasoning to enhance user experience and decision-making.

Developed user-friendly interfaces during industrial training using HTML, CSS, and JavaScript. Created a skincare website focused on clear product descriptions and intuitive navigation. Emphasized clean design and modern web practices to elevate user experience.

Grade: 7.5

Currently pursuing a Bachelor's degree in Computer Science Engineering. Maintaining a strong academic record with a GPA of 7.5.

Grade: 90%

Completed Intermediate education with a strong academic performance, achieving a percentage of 90%.

Grade: 96%

Activities and societies: Student of the Year (2018-2019), State level player (Karate) (2017-2019)

Completed Matriculation with an excellent academic record, achieving a percentage of 96%.