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JN

Jairaj Shrinivas Naik

IT professional · Python, SQL, and Data Analytics

Bengaluru, Karnataka, India

@jairaj_naik

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About

IT professional with hands-on experience across the software and data stack, including Python, Java, SQL, Flask, Power BI, and Excel. Strong foundation in OOP, data structures, debugging, and end-to-end project delivery.

Experience

  • Data Analytics Intern
    Leosias Technologies (Edureka) · Belagavi
    Nov 2024 – Jan 2025

    Analyzed structured datasets using Python and SQL to identify trends and support data-driven reporting. Built visual analytics and KPI dashboards using Matplotlib and Excel to communicate findings to stakeholders. Documented analytical workflows and technical findings, ensuring reproducibility across projects. Strengthened debugging, data-handling, and problem-solving skills through hands-on dataset and pipeline work.

Education

  • Master of Computer Applications (MCA)
    Visvesvaraya Technological University
    Feb 2024 – Jul 2025
  • Bachelor of Computer Applications (BCA)
    Shree Guru Sudhindra BCA College
    Sep 2020 – Aug 2023
  • Pre-University Course (PUC)
    Siddhartha INDP PU College
    Jun 2019 – Mar 2020

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
SQL Python
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
CSS Oop HTML Java NumPy Pandas Seaborn Matplotlib Forecasting Data Structures Statistical Analysis

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
Microsoft Excel
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
MySQL Microsoft Power BI

Projects

  • Fertilizer Recommendation System
    Python, Rule-Based Logic

    Designed a rule-based decision support system for agricultural fertilizer recommendations. Implemented conditional logic to analyze soil and crop parameters and generate tailored outputs. Enforced input validation to ensure predictable outputs and system reliability.

  • Loan Approval Prediction System
    Python, Scikit-learn

    Built regression and classification models to predict loan approval outcomes from applicant data. Preprocessed and engineered features from structured datasets, handling missing values and encoding. Improved prediction accuracy through model evaluation, cross-validation, and tuning.

  • Early Diabetes Prediction System
    Python, Flask, XGBoost

    Developed a scalable backend using Python and Flask with a modular, maintainable architecture. Designed and implemented RESTful APIs with role-based access control for Doctor, Patient, and Lab roles. Built an end-to-end ML pipeline integrating XGBoost into the API layer and automated PDF report generation.

Courses & certifications

  • 100 Days of Code: The Complete Python Pro Bootcamp · Udemy · 2026
  • Power BI for Beginners · Simplilearn SkillUp (Powered by Microsoft) · 2026
  • SQL for Data Analytics with AI · Internshala Trainings · 2026
  • Google Advanced Data Analytics Professional Certificate · Google / Coursera · 2026
  • Data Analytics Certification · Edureka (Leosias Technologies) · 2025
  • My SQL · Edureka (Leosias Technologies) · 2025

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