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Koonj R. AI, Data Science and General Development

My name is Koonj R. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Data Science, Algorithms, Algorithm Development, Machine Learning, Python, etc.. I hold a degree in Master of Information Technology (MIT), Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Lawyer Classification and Search System with NLP & Backend Integration, Kidney Disease Prediction and Modeling. I am based in Shikarpur, Pakistan. I've successfully completed 2 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • AI, Data Science and General Development

    1 year

  • Data Science

    1 Year

  • Algorithms

    1 Year

  • Algorithm Development

    1 Year

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

Lawyer Classification and Search System with NLP & Backend Integration

Developed a Lawyer Classification and Search System to help users find legal professionals based on law specialties and location. Integrated a responsive UI with dropdown options and an NLP-powered search bar to understand natural language queries. The system dynamically displays lawyers by name and win rate, allowing users to make informed choices efficiently.

Kidney Disease Prediction and Modeling

This project focuses on kidney disease modeling using Python, specifically implementing logistic regression, KNN, and Naive Bayes estimation techniques. It involves building and evaluating predictive models, with an emphasis on data preprocessing, feature engineering, and model training. The project also includes thorough evaluation of the models' performance and interpretation of results to derive actionable insights.

Education

  • NED University of Engineering and Technology

    Master of Information Technology (MIT) in computer science

    2018-01-01-2021-01-01

  • National University of Computer and Emerging Sciences

    Bachelor of Computer Science (BCompSc) in

    2017-01-01-2021-01-01

Languages

  • English