Chirag G

Bengaluru, IN 1+ yrs exp 63 · Good

About

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Skills & Expertise (25)

Python Intermediate

7.5/10

Years Exp

RESTful APIs Intermediate

7.0/10

Years Exp

VS Code Intermediate

7.0/10

Years Exp

GitHub Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

JavaScript Intermediate

6.5/10

Years Exp

HTML5 Intermediate

6.5/10

Years Exp

CSS3 Intermediate

6.5/10

Years Exp

Pandas Intermediate

6.0/10

Years Exp

PyCharm Intermediate

6.0/10

Years Exp

Jupyter Notebook Intermediate

6.0/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

Postman Intermediate

6.0/10

Years Exp

Environment Variables Intermediate

6.0/10

Years Exp

SMTP Intermediate

5.5/10

Years Exp

Twilio Intermediate

5.0/10

Years Exp

ARIMA Intermediate

5.0/10

Years Exp

Random Forest Intermediate

5.0/10

Years Exp

RNNs Intermediate

5.0/10

Years Exp

CNNs Intermediate

5.0/10

Years Exp

C++ Beginner

4.5/10

Years Exp

Android Studio Beginner

4.5/10

Years Exp

XAMPP Beginner

4.0/10

Years Exp

OpenGL Beginner

4.0/10

Years Exp

Work Experience

Project Engineer

Electronics & Radar Development Establishment (LRDE)

Jun 2024 - Sep 2025

Designed, tested, and debugged Python-based software components for operational automation and internal tools, ensuring reliable performance in production environments. Collaborated on the development and maintenance of Python modules, systematically resolving defects to enhance code quality and operational efficiency. Worked on complex tiling problems for a phased array antenna network using dynamic programming (Accelerated Cross Entropy) and backtracking, improving efficiency and reducing computation time by 15%. Created a 'Technology Basket' website using HTML, CSS, and JavaScript for an internal project, featuring interactive elements, responsive design, and a user-friendly experience.

Machine Learning Intern

Cranes Varsity, Bangalore, India

Sep 2022 - Oct 2022

Developed a predictive model for Bitcoin prices using machine learning (ARIMA, Random Forest, RNNs) and sentiment analysis, improving accuracy by 12% over traditional methods. Collaborated with a team to create visualizations and reports that communicated actionable insights to senior management, supporting data-driven decisions in financial markets.