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Computer Science Student | Software Engineering | Data & AI

I build practical projects across software development, data analytics, machine learning, and automation.
Focused on strengthening my fundamentals and creating solutions that solve real-world problems.

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👩‍💻 About Me

Hi! I'm Devi Sri Parvathi Junjuri, a B.Sc. Computer Science student passionate about building technology solutions through programming, data, and artificial intelligence.

I'm exploring multiple areas of software engineering while developing a strong foundation in computer science, problem-solving, and practical project development.

  • 🎓 Pursuing B.Sc. Computer Science
  • 💻 Interested in Software Engineering and Python Development
  • 📊 Exploring Data Analytics and Business Intelligence
  • 🤖 Learning Machine Learning and AI-based applications
  • 🗄️ Practicing SQL, Database Management, and Data Processing
  • 🛠️ Building projects to strengthen development and analytical skills
  • 🌱 Focused on continuous learning and hands-on implementation

🎯 Career Direction

My goal is to become a technology professional who can design, develop, and deliver practical software and data-driven solutions.

I'm open to opportunities in:

  • Software Engineering
  • Python Development
  • Data Analytics
  • Backend Development
  • AI / Machine Learning

🛠️ Technical Skills

👩‍💻 Programming Languages

Programming Languages

  • Python
  • C
  • SQL
  • Java (Learning / Expanding)

⚙️ Software Engineering

Software Engineering Tools

  • Programming Fundamentals
  • Object-Oriented Programming
  • Data Structures and Algorithms (Learning)
  • Problem Solving
  • Python Development
  • Version Control with Git
  • Backend Development (Learning)

📊 Data Analytics & Machine Learning

Python

  • Python for Data Analysis
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • Scikit-learn
  • Exploratory Data Analysis
  • Feature Engineering
  • Supervised Machine Learning
  • Model Evaluation
  • Business Analytics

🗄️ Databases

Databases

  • SQL
  • PostgreSQL
  • Database Design
  • Data Cleaning and Validation
  • Business Queries
  • Views and Analytical Queries

📈 Data Visualization & BI

Data Visualization

  • Tableau
  • Microsoft Power BI
  • Matplotlib
  • Seaborn
  • Dashboard Development
  • KPI Analysis
  • Data Storytelling

☁️ Tools & Platforms

Tools and Platforms

  • Git & GitHub
  • Visual Studio Code
  • Jupyter Notebook
  • Google Cloud (Learning)
  • Microsoft Excel
  • PostgreSQL / pgAdmin

🚀 Featured Projects

📊 Customer Churn Analytics Platform

Python | SQL | Machine Learning | Tableau

An end-to-end customer churn analytics project designed to analyze customer behavior, identify churn patterns, and support data-driven business decisions.

Key Features

  • Data Cleaning and Preprocessing
  • Exploratory Data Analysis
  • SQL Business Analysis
  • Feature Engineering
  • Logistic Regression
  • Random Forest
  • XGBoost
  • Model Comparison
  • Customer Risk Scoring
  • Dashboard Development

🔗 Repository: Customer Churn Analytics


🛒 Olist E-commerce Sales Analytics

PostgreSQL | SQL | Power BI | Tableau

An e-commerce analytics project focused on transforming raw transactional data into structured business insights.

Key Features

  • Relational Database Design
  • PostgreSQL Tables and Constraints
  • SQL Data Quality Checks
  • Exploratory and Business Analysis
  • Analytical Views
  • Sales and Delivery Performance Analysis
  • Executive KPI Dashboard

🔗 Repository: Olist E-commerce Sales Analytics


🐍 Python Practice & Problem Solving

Python | Programming Fundamentals | Data Structures

A structured learning repository for strengthening Python programming skills from beginner to advanced concepts.

Topics

  • Variables and Data Types
  • Control Flow
  • Functions
  • Collections
  • Object-Oriented Programming
  • Exception Handling
  • File Handling
  • Modules and Packages
  • Data Structures
  • Problem Solving

🔗 Repository: Add your Python practice repository link here.


🧠 Current Learning Focus

Area Focus
Software Engineering Programming, OOP, DSA
Python Advanced Python and Development
Backend APIs, Databases, Server-Side Development
Data Analytics SQL, Excel, BI
AI / ML Machine Learning and AI Applications
Cloud Cloud Fundamentals and Deployment

📚 Learning Philosophy

Learn the fundamentals. Build practical projects. Understand the problem. Improve through implementation.

I'm focusing on developing strong technical foundations rather than learning tools in isolation.

My approach:

  • Understand the concepts
  • Practice through coding
  • Build real-world projects
  • Debug and improve solutions
  • Document what I learn
  • Continuously strengthen problem-solving skills

🐍 Contribution Activity

GitHub Contribution Snake

🎯 2026–2027 Goals

  • Build practical analytics projects
  • Practice SQL and database workflows
  • Strengthen Python programming
  • Improve Data Structures and Algorithms
  • Build software engineering projects
  • Develop backend development skills
  • Explore AI-integrated applications
  • Learn cloud deployment fundamentals
  • Build a strong, project-focused portfolio
  • Prepare for software and data-related opportunities

🤝 Let's Connect

I'm interested in learning, collaborating on projects, and connecting with people in technology.

LinkedIn Email



Thank you for visiting my profile! 🚀


Always learning. Always building. Always improving.

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