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.
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
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
- Python
- C
- SQL
- Java (Learning / Expanding)
- Programming Fundamentals
- Object-Oriented Programming
- Data Structures and Algorithms (Learning)
- Problem Solving
- Python Development
- Version Control with Git
- Backend Development (Learning)
- Python for Data Analysis
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
- Exploratory Data Analysis
- Feature Engineering
- Supervised Machine Learning
- Model Evaluation
- Business Analytics
- SQL
- PostgreSQL
- Database Design
- Data Cleaning and Validation
- Business Queries
- Views and Analytical Queries
- Tableau
- Microsoft Power BI
- Matplotlib
- Seaborn
- Dashboard Development
- KPI Analysis
- Data Storytelling
- Git & GitHub
- Visual Studio Code
- Jupyter Notebook
- Google Cloud (Learning)
- Microsoft Excel
- PostgreSQL / pgAdmin
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.
- 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
PostgreSQL | SQL | Power BI | Tableau
An e-commerce analytics project focused on transforming raw transactional data into structured business insights.
- 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 | Programming Fundamentals | Data Structures
A structured learning repository for strengthening Python programming skills from beginner to advanced concepts.
- 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.
| 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 |
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
- 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
I'm interested in learning, collaborating on projects, and connecting with people in technology.
