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Shrikant from India

Shrikant

India No experience yet
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About

Shrikant V. is a highly skilled practitioner in the field of computer science, specializing in languages such as Java, C++, and Python. With a strong foundation gained from a Bachelor of Technology in Computer Science and Engineering from Lovely Professional University, Shrikant has developed significant expertise in areas like data structures and algorithms, demonstrated during a summer internship where he designed over 50 algorithms to optimize problem-solving efficiency. His projects include developing a machine learning model for student marks prediction, utilizing linear regression and data visualization tools like Matplotlib, and creating an Android productivity app for students using Kotlin and XML. Shrikant's reputation for optimizing execution time through efficient data structures and mastering complexity analysis is further validated by certifications from recognized platforms such as Coursera and Udemy. His contributions extend to hackathons and community service, emphasizing his commitment to leveraging technology for societal benefit.

Experience

  • Student Project

    null · 2025 — 2025
    Created the Edufocus Android app using Kotlin to enhance students' focus and manage academic tasks. Integrated features such as task management and a Pomodoro-style study timer while designing a responsive UI with XML and implementing local data storage using Room Database for offline access.
  • Intern

    Lovely Professional University · 2024 — 2024
    Designed and implemented over 50 data structure algorithms in C++ during a summer internship, enhancing problem-solving efficiency through competitive coding and complexity analysis. Built and tested more than 100 C++ programs covering arrays and linked lists while employing test cases and time complexity analysis for runtime improvement. Optimized solutions for binary search and tree traversals, achieving a significant reduction in execution time through Memoization and efficient data structures.
  • Student Project

    null · 2024 — 2024
    Developed a predictive model using Linear Regression to estimate students' marks based on study hours and performance indicators. Collected, cleaned, and analyzed data using Pandas while visualizing trends with Matplotlib and Seaborn to identify factors influencing academic performance.

Skills & Expertise

Education

  • Bachelor of Technology - Computer Science and Engineering
    Lovely Professional University · 2022 — 2026
  • Intermediate
    SND Public School, Palwal · 2020 — 2022
  • Matriculation
    KM Public School, Palwal · 2019 — 2020

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