Hello, I'm Bhargava Surendra

Python Full Stack Developer

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About Me

I’m a Computer Science graduate and Python Full Stack Developer with hands-on experience in building scalable web applications and intelligent systems. I specialize in Flask, MySQL, and Machine Learning, and I enjoy turning complex problems into efficient, real-world solutions. Passionate about continuous learning and innovation, I aim to build impactful technology that makes a difference.

Skills

Programming
Python HTML CSS JavaScript Bootstrap
Frameworks
Flask
Databases
MySQL Oracle
Tools
Git VS Code XAMPP
Design
Canva WordPress
ML & AI
Machine Learning OpenCV

Education

Eluru College of Engineering and Technology

Bachelor of Technology in Computer Science and Engineering

Nov 2021 – Apr 2025 • CGPA: 8.4

Projects

Retail Store Clustering

Jul 2024 – Sep 2024 • Tech Yuva Computers (Intern)

Developed a project as part of a Machine Learning internship analyzing sales and customer demographic data.

  • Grouped retail stores into meaningful clusters to identify patterns and support data-driven decision-making.
  • Applied Elbow Method, feature scaling, and PCA to optimize and interpret clusters effectively.
  • Presented findings with clear visualisations, demonstrating strong research and communication skills.

Technologies: Python, scikit-learn, PCA, Elbow Method

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Deloitte Australia Data Analytics Job Simulation

Forage (self-paced)

Completed a Deloitte job simulation involving data analysis and forensic technology.

  • Created an interactive visualization dashboard using Tableau.
  • Classified large datasets using Excel to derive business insights.

Technologies: Tableau, Excel, SQL

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Facial Expression Driven Song Suggestion System

Jan 2025 – Apr 2025

Real-time facial emotion recognition and music recommendation application.

  • Developed a real-time facial emotion recognition system using CNN and OpenCV.
  • Suggested songs dynamically from a local MySQL database based on detected emotions.
  • Integrated backend logic with a user‑friendly Flask web interface.
  • Achieved 88 % accuracy in facial expression prediction using the CNN model.

Technologies: OpenCV, CNN, Flask, MySQL, HTML/CSS, JavaScript

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Skill Gap Analyzer

Feb 2026 – Mar 2026 • Self-Made

Developed a web application that analyzes resumes and compares extracted skills with industry job role requirements.

  • Implemented resume parsing to extract skills from PDF and DOCX files and store them in a MySQL database.
  • Built an interactive Flask-based web interface allowing users to upload resumes and view personalized skill gap analysis results.
  • Maintained analysis history and user data using a structured relational database schema.

Technologies: Python, Flask, MySQL, HTML/CSS, JavaScript, NLP, Resume Parsing

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