About me

I'm Meet Nakum, a passionate student currently pursuing a B.Tech in Computer Science and Engineering at Jain University. With a keen interest in harnessing the power of technology to solve real-world challenges, I've gained practical experience as a Data Analyst intern and a Web Developer intern.

Proficient in Python and skilled in data analysis, manipulation, and machine learning techniques, I am committed to continuous learning and growth in the ever-evolving landscape of technology. Outside of academia, I enjoy exploring new technologies, participating in coding competitions, and contributing to open-source projects.

What i'm doing

  • python icon

    Python

    Working with Pandas, Numpy, Matplotlib, TensorFlow, Scikit-learn, etc.

  • Data Analysis icon

    Data Analysis

    Exploring data analysis techniques to uncover insights and drive meaningful conclusions.

  • DSA icon

    Data Structure and Algorithms

    Optimizing data manipulation with efficient algorithms.

  • Power bi icon

    Power BI

    Utilizing for data visualization and analytics to unlock actionable insights.

  • ML icon

    Machine Learning

    Applying algorithms to solve complex problems and enhance decision-making.

  • DL icon

    Deep Learning

    Delving into methodologies to tackle intricate challenges and advance artificial intelligence.

  • uiux icon

    UI/UX

    Designing seamless UI experiences to optimize user interactions and elevate digital products.

  • SQL icon

    SQL

    Mastering databases to manage and query information.

  • figma icon

    Figma

    Unleashing artistic visions with boundless creativity on Canva.

  • WD icon

    Web Development

    Designing and developing dynamic websites using HTML, CSS, JavaScript for an engaging user experience.

Daniel lewis
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Daniel lewis

Neel was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Education

Education History

  1. Jain University, Bangalore

    2022 — 2025

    Pursuing B.Tech in Information Computer Science and Engineering (CSE) with a passion for technology and problem-solving.

  2. Delhi World Public School, Rajkot

    2020 — 2021

    I completed my 12th standard in CBSE with 81.9% marks. This academic achievement reflects my dedication and prepared me well for future pursuits.

  3. Jay International School, Rajkot

    2018 — 2019

    I completed my 10th standard in CBSE with 67.7% marks. This milestone in my academic journey provided me with a strong educational base and prepared me for further studies.

Courses Covered

  1. Machine Learning

    College

  2. Deep Learning

    College

  3. Big Data Analysis

    College

  4. Data Warehouse and Data Mining

    College

  5. Python

    YouTube, College

  6. Design and Analysis of Algorithms

    College

  7. Operating System

    College

  8. Data Analysis

    YouTube

  9. Data Manipulation

    YouTube

  10. Power BI

    YouTube

  11. UI/UX with Figma

    YouTube

Work Experiences

UNIFIED MENTOR

  1. Data Analyst Intern

    Jan 2024 — Mar 2024

    Spearheaded data analysis projects during a 3-month internship, delivering actionable insights and reports to support strategic decision-making.

    Scored a 100% project completion rate within the internship duration, showcasing efficiency and commitment.

    Transformed tech stack with Python for powerful data manipulation, Pandas for in-depth analysis, and Matplotlib for dynamic visualizations. Realized 60% increase in data processing efficiency and enhanced clarity and accessibility of analytical insights by 75%.

EXPOSYS DATA LABS

  1. Web-Development Intern

    Jul 2023 — Aug 2023

    Collaborated with senior developers to implement front-end features and functionalities using HTML, CSS, and JavaScript.

    Applied responsive design principles to ensure compatibility and optimal user experience across various devices.

Awards & Certificates

UX BLITZ

  1. App Designer

    April 2024

    Earned 3rd place in the UX Blitz event for exceptional UI/UX design of the Glassdoor app.
    Showcased proficiency in creating intuitive interfaces that elevate user experience.
    Applied user-centered design methodologies, garnering recognition for inventive solutions.

TECH TREASURE HUNT

  1. Participent

    April 2024

    Secured 3rd place in the Tech Treasure Hunt event, demonstrating robust IT expertise and adept problem-solving skills.
    Effectively tackled complex technical challenges, showcasing the practical application of theoretical concepts.

IRJMETS Certificate of Publication

  1. IRJMETS Certificate of Publication

    April 2025

    Certificate awarded by the International Research Journal of Modernization in Engineering Technology and Science (IRJMETS) for the publication of research work.

    View Certificate

Research Publications

Published Works

  1. Comprehensive Analysis of Air Quality Trends in India Using Machine Learning and Deep Learning Models

    January 2025 | ICDCN 2025

    This study presents a comparative analysis of Deep Learning and Machine Learning models for predicting air quality PM2.5 levels across Indian states. The research implements state-of-the-art models including RNN, LSTM, GRU networks, and traditional ML models like ARIMA and SARIMA. The RNN model demonstrated superior performance with nearly 99% accuracy in forecasting PM2.5 levels, showcasing its potential for effective air quality prediction across diverse geographical regions in India. Published in the International Conference on Distributed Computing and Networking (ICDCN 2025).

    View Paper

  2. A REAL-TIME GEOLOCATION FRAMEWORK FOR ENHANCED MEDICINE ACCESSIBILITY: INTEGRATING FLASK, SQLITE, AND OPENSTREETMAP IN URBAN HEALTHCARE SYSTEMS

    April 2025 | IRJMETS

    This research presents a geolocation-based real-time medicine search and notification system designed to enhance urban healthcare accessibility. The system, built using Python Flask, SQLite, and OpenStreetMap, employs the Haversine formula to identify pharmacies within a 100-meter radius. Key achievements include 150ms average request-handling latency, 100% geospatial accuracy, and seamless scalability through modular RESTful APIs. The system enables bidirectional communication between users and pharmacies, with real-time notifications and availability confirmations. Published in the International Research Journal of Modernization in Engineering Technology and Science (IRJMETS).

    View Paper

Contact

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