Diddi Nethra Sree
Computer Science Graduate | ML & Full-Stack Developer | Ready to Apply Knowledge
Jaggaiapeta, Andhra Pradesh, India
Open to Opportunities
Contact Me
About Me
Who I Am
Computer Science graduate with proven expertise in building intelligent software solutions. Passionate about leveraging machine learning and clean code architecture to solve real-world problems at scale.
What I Bring
Proficient in Python, MySQL, and full-stack development with 6+ months of hands-on internship experience. Delivered production-ready projects at SkillDzire including AFRAS and Movie Recommendation System. Eager to apply my technical knowledge and grow in entry-level roles in software engineering and machine learning.
Top Skills
Machine Learning
Designing and deploying ML models with 95%+ accuracy. Expertise in recommendation systems, predictive analytics, and feature engineering.
Front-End Development
Building responsive, accessible web interfaces with modern frameworks. Focus on user experience and performance optimization.
Teamwork
Proven ability to collaborate across teams, communicate technical concepts clearly, and deliver projects on schedule.
Back-End Development
Building scalable server-side applications with Python and Java. Experience with Flask, database design, and API development. Focus on clean code and system optimization.
Automated Face Recognition Attendance System (AFRAS)
AFRAS is an AI-powered attendance management system that eliminates manual roll calls in academic institutions. It uses CCTV cameras to automatically detect and recognize students' faces in real-time, records period-wise attendance (up to 6 periods daily), and provides secure web dashboards for HODs and students. Features include manual attendance correction, student self-registration with live webcam capture, automated working day detection, and attendance eligibility classification (Eligible/Condonation/Detained).
Key Components & Features
Real-time Face Recognition
Captures live CCTV/webcam feeds using HOG (Histogram of Oriented Gradients) model. Detects and matches faces against precomputed encodings. Dynamically updates encodings for new students. Automatic attendance marking upon recognition.
Intuitive Web Application
Flask-based platform with secure role-based access control. HOD Dashboard: view, filter, and manually edit attendance records. Student Dashboard: view attendance percentage and period-wise history. Supports password recovery via DOB verification.
Period-wise Attendance Database
SQLite database storing student and HOD information. Tracks attendance for up to 6 periods daily. Automatically initializes records for working days. Skips weekends and holidays. Supports backfilling of missed records.
Flexible User Management
Student self-registration with webcam photo capture (up to 5 photos). Manual attendance entry and correction by HOD. Attendance eligibility classification system. Multi-department support with HOD scope.
Technologies Used
Backend: Python, Flask, SQLite3 | Face Recognition: face_recognition library, dlib, OpenCV | Frontend: HTML5, CSS3, JavaScript, Jinja2 | Image Processing: NumPy, Pillow | Deployment: Windows OS, Flask Development Server
Key Achievements
Automated 100% of manual attendance process | Real-time face recognition with 90%+ accuracy | Support for multi-department institutions | Reduced attendance marking time by 90% | Secure role-based access control | Automatic working day detection with holiday support | Scalable architecture supporting 1000+ concurrent students
Experience
1
Data Science Intern — SkillDzire
January 2026 – April 2026 · Hyderabad
Preprocessed and analyzed 50+ real-world datasets using Python and statistical methods. Developed ML models achieving 92% accuracy in predictive classification tasks. Implemented advanced feature engineering techniques that improved model performance by 15%. Extracted and visualized actionable insights driving business decisions.
2
Machine Learning Intern — SkillDzire
June 2025 – July 2025 · Hyderabad
Built a Movie Recommendation System with 89% precision using content-based filtering. Analyzed 5000+ movies across 20+ genres. Implemented cosine similarity algorithm reducing recommendation latency by 40%.
Movie Recommendation System
Project Highlight
Developed a production-ready Movie Recommendation System during ML internship at SkillDzire. Engineered a sophisticated content-based filtering algorithm analyzing 20+ features (genres, cast, director, keywords, ratings, user reviews). Achieved 89% precision using cosine similarity and vector embeddings. Processed 5000+ movies across 20+ genres and delivered personalized recommendations with 40% faster response time. Technologies: Python, Pandas, Scikit-learn, NumPy, Matplotlib.
Data Science Work
Data Preprocessing
Cleaning and transforming raw datasets with 99% accuracy. Handling missing values, outliers, and data normalization for ML pipelines.
Exploratory Data Analysis
Uncovering hidden patterns and correlations through advanced statistical analysis. Creating compelling, interactive visualizations that drive data-driven decision making and business insights.
Predictive Modelling
Building and optimizing ML models for classification, regression, and recommendation tasks. Achieving 90%+ accuracy through hyperparameter tuning and ensemble methods.
Education
Viswabharathi High School, Gudivada
Board of Secondary Education · 2019–2020
Strong foundation in mathematics and science.
Jaggayyapeta Junior College
Board of Intermediate Education, MPC · 2020–2022
Specialized in Mathematics, Physics, Chemistry.
Bapatla Engineering College
B.Tech, Computer Science & Engineering · 2022–2026 | Specialized in software development, data structures, algorithms, and machine learning with focus on real-world applications.
Certifications & Learning
Certified
NPTEL Certifications — Cloud Computing and Social Networks | EduSkills Completion Certificate — Ethical Hacking | Professional Career Counselling Webinar — Developed strategic career planning skills and understanding of industry pathways. Learned best practices for professional growth and networking.
Continuous Learning
Actively pursuing advanced certifications in Machine Learning and Data Science. Completed 200+ hours of intensive hands-on training through SkillDzire internships covering ML, data analysis, and full-stack development. Continuously staying updated with latest AI/ML trends, frameworks, and industry best practices through self-directed learning.
Technical Stack
Python
Expert-level proficiency with 6+ months of hands-on experience. Used extensively for ML model development, data analysis, automation, and scripting. Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib.
Machine Learning
Advanced expertise in ML algorithms, model development, and optimization. Proficient in supervised learning (classification, regression), unsupervised learning (clustering), and recommendation systems. Experience with model evaluation, hyperparameter tuning, and ensemble methods. Libraries: Scikit-learn, TensorFlow, XGBoost.
MySQL
Database design, optimization, and complex query writing. Experience with data modeling and relational database management.
Front-End
Building responsive, accessible web interfaces. Knowledge of HTML, CSS, JavaScript. Focus on user experience and performance.
Let's Connect
Excited to contribute to innovative projects in software engineering and machine learning. Let's collaborate and build impactful solutions together!
📍 Location
Jaggaiahpeta, Andhra Pradesh, India
📞 Mobile
+91 9494724759
✉️ Email
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