Sivasanath Kumar M | Software Developer

Hi, I'm Sivasanath Kumar M.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

I am a Electronics Student at IIIT SRICITY. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do. I have worked on technologies like Python,MongoDB, HTML5, CSS, React, C++,Machine Learning during my bachelor's. I am passionate about developing complex applications that solve real-world problems impacting millions of users.

Languages: Python, JavaScript, C, C++, HTML/CSS
Databases: MySQL,MongoDB
Libraries: NumPy, Pandas, Scikit-learn
Frameworks: Node.js, Keras, TensorFlow, PyTorch, Bootstrap,React.js
Tools & Technologies: Git, Heroku

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Projects

                
Cryptotracker Web-App
                  A Cryptotracker web app based on React
                
AccomplishmentsTools: React, HTML, CSS, Chakra-UI, Vercel
Integrated APIs from 10+ cryptocurrency exchanges
Delivering real-time price updates, historical data, and market trends.
Orchestrated the user interface design, focusing on intuitive navigation, responsive layouts..
                  
Whiteboard Web-App
                  A Whiteboard web app based on HTML
                
AccomplishmentsAllow users to draw freehand. 
Enable users to erase parts of the drawing.
Offer tools for drawing basic shapes like lines, rectangles, circles, etc.
                    .

Quote Generator Web
                  A simple Quote_Generator web-app.
                
AccomplishmentsAutomatically generate a random quote from a pool of predefined quotes.
                  
Display the author's name along with the quote.
                  
Integrate with external APIs that provide a vast collection of quotes.

House-prices-predicting
                  A model that aims at predicting a price of house for a given input.
                
AccomplishmentsThe model was developed using various regression algorithms, and it was continuously improved
                    through user feedback
                    and collaboration with cross-functional teams.
Data collection, preprocessing, feature engineering, exploratory data analysis scaling,
                    normalization, evaluation were all crucial steps in developing a predictive model for real
                    estate prices.

Diabetes-prediction
                  CatBoost ML model with 92.88% accuracy deployed in Flask web app for diabetes prognosis.
                
AccomplishmentsDeveloped a Machine Learning model utilizing CatBoost algorithm with grid search CV hyperparameter
                    tuning for diabetes
                    disease prediction.
Conducted ablation study to determine the most effective techniques, revealing CatBoost as the
                    optimal model with
                    92.88% test accuracy.
Implemented the model into a web application using Flask framework for interactive User Interface
                    (UI).

HOME AUTOMATION
                  Home automation projects, enhancing convenience, security, and energy efficiency. 
Accomplishments Created a comprehensive blueprint for integrating smart devices, utilizing IoT protocols for
                    seamless communication
 Created a centralized control interface, customized automation scenarios and optimized
                    performance
 Continuously enhanced system through user feedback and iterative updates