I'm Derangula Siva Kumar, a Computer Science student at Parul University specializing in AI. I enjoy problem solving, algorithms and turning ideas into practical software.
A placement-focused developer profile built around programming fundamentals, DSA, software development and AI/ML.
I am pursuing a B.Tech in Computer Science & Engineering with an AI specialization at Parul University. My current technical focus includes C++, C, Python, SQL, data structures, algorithms and OOP, supported by hands-on work with Flask, Scikit-learn, Git and GitHub.
I enjoy solving practical problems, building reliable software, and continuously improving through hands-on projects.
Developed an employee income classification model using Python and Scikit-learn, covering preprocessing, feature engineering, Random Forest, hyperparameter tuning and model evaluation.
Developed and tested a Flask-based Marks Calculator web application, connecting HTML inputs with Python application logic and debugging the workflow.
Worked through foundational Generative AI concepts, tools and application workflows during a one-month internship.
Hands-on projects across machine learning, recommendation systems, Python web development and data-driven analysis.
Built a machine learning model using the Adult Census Income dataset to classify whether annual income is above or below $50K.
Highlights: cleaned unknown categorical values, encoded categorical features, applied Min-Max scaling, used stratified train-test splitting, and compared KNN, Logistic Regression and MLP models. The MLP achieved 85.18% accuracy among the tested models.
Developed a movie recommendation system by preprocessing movie data, engineering features, and generating recommendations from movie characteristics and user preferences.
Built and debugged a Flask-based web application for calculating student marks using Python and HTML, with a simple input-to-result workflow.
Highlights: connected the web interface with Python logic and focused on input handling, calculation and a straightforward user experience.
Developed a Python-based agricultural cost and profitability analysis system for Indian crops, calculating Total Cost of Production, Net Farm Income, Benefit-Cost Ratio and break-even metrics.
Highlights: integrated MSP, mandi prices and government subsidies, performed ±20% sensitivity analysis, generated sustainability-based recommendations, and created financial visualizations.
Build, configure, and document AWS solutions through hands-on tasks — with proof for every step.
Hands-on practice with VPC networking, private subnets, traffic controls and private DNS.
Practical work with EC2, load balancing, Auto Scaling, storage, web hosting and EFS.
Hands-on practice with IAM, serverless compute, databases and CloudWatch monitoring.
A selection of certifications, internships, and learning milestones.
Edunet Foundation in collaboration with AICTE, implemented through IBM SkillsBuild.
Open certificate ↗
Andhra Pradesh State Skill Development Corporation — Summer Online Internship Program 2025.
Open certificate ↗
Prodigy InfoTech — internship completed from 1 August to 31 August 2024.
Open certificate ↗Additional certifications and learning milestones.
For opportunities, collaborations or project discussions, reach out through email or LinkedIn.