Data Scientist · AI & ML Developer · Software Developer · Data Analyst
Computer Science graduate (B.Tech) specializing in Data Science and Artificial Intelligence. Based in Bangalore (BTM Layout), I build data-driven applications including machine learning models, analytics dashboards, and intelligent software solutions. My work focuses on transforming real-world data into meaningful insights and practical AI-powered systems.
Hi, I'm Donal Siby — a Computer Science graduate specializing in Data Science and Artificial Intelligence. I build machine learning models, analytics dashboards, and AI-powered applications that transform data into actionable insights. My work includes end-to-end projects from data preprocessing and model development to deployment and visualization. I am passionate about solving real-world problems using data and continuously expanding my expertise in AI and Machine Learning.
Strengths: Problem solving, data structures & algorithms, OOP, API development, collaborative development with Git, and bringing ML into production.
Python · Java (OOP) · C++ · JavaScript · HTML5 · CSS3
Machine Learning Fundamentals · Generative AI Concepts · Prompt Engineering · Exploratory Data Analysis (EDA) · Data Cleaning · Model Inference
SQL · MySQL · Oracle
Power BI · Data Visualization · KPI Reporting · Business Insights
GitHub · VS Code · Jupyter Notebook · REST APIs
Problem Solving · Team Leadership · Communication · Agile Collaboration · Strategic Thinking
AI System · Machine Learning · React · Python
Full-stack ML platform predicting employee burnout risk using Random Forest (Accuracy ≈ 84%). Integrated React frontend with a Python ML engine.
Skills: Classification, API Integration, Model Deployment.
View on GitHubMachine Learning · Ridge Regression · Streamlit · Plotly · Scikit-learn
Built an enterprise-grade ML web application that predicts residential property prices using the Ames Housing dataset. Compared Linear, Polynomial, Lasso, and Ridge regression models, achieving an R² score of 0.875 after hyperparameter tuning.
Designed a premium SaaS-style Streamlit dashboard featuring interactive market insights, real-time valuation engine, gauge visualizations, and modern UI/UX styling.
Skills learned: data preprocessing, feature engineering, L1 & L2 regularization, hyperparameter tuning, model evaluation, ML deployment, UI integration.
Web Development · HTML/CSS · JavaScript
Built a responsive and visually rich website for a wedding planning business featuring service listings, galleries, booking forms and interactive UI elements.
Skills learned: responsive layout, form validation, user interface design, JavaScript event handling.
Generative AI · Python · Transformers · AudioGen · GANSynth
Built a web application using AudioGen and GANSynth to generate realistic audio from text prompts. Integrated transformer models to create diverse soundscapes with an intuitive UI.
Skills learned: transformer pipelines, prompt engineering, model integration, API endpoints, Streamlit/Flask demo.
Data Analytics · Python · Pandas · Seaborn · Machine Learning
Conducted an in-depth analysis of telecom customer data to identify key factors contributing to customer churn. Applied Exploratory Data Analysis (EDA) and visualization techniques to uncover behavioral patterns related to contract types, tenure, billing, and payment methods. Generated actionable insights to support customer retention strategies and business decision-making.
Skills learned: data cleaning, exploratory data analysis, statistical visualization, feature analysis, business insight generation, and predictive analytics foundations.
Power BI · Sales Analytics · SQL
Designed an interactive Power BI dashboard for a pizza restaurant showing order trends, sales channels, menu performance and regional insights.
Skills learned: data modelling in Power BI, DAX measures, interactive visuals, business insights.
Power BI · Ecommerce Analytics · DAX
Created a comprehensive dashboard analysing Amazon sales, profit margins, product categories and geographic performance.
Skills learned: advanced DAX, data visualisation best practices, KPI tracking and storytelling through dashboards.
Full-stack Web · PHP · MySQL · Authentication
Developed a secure PHP-based election platform supporting voter registration, real-time voting, and result updates. Improved election transparency and accessibility for 200+ students.
Skills learned: relational database design, SQL queries & optimization, backend security, sessions & authentication.
scikit-learn · Data Preprocessing · Model Evaluation
Implemented typical ML workflows — regression, classification, clustering — and evaluated models with cross-validation, precision/recall/F1 metrics. Visualized results and optimized features via PCA and feature selection.
Skills learned: preprocessing, CV, hyperparameter tuning, visualization with Matplotlib/Seaborn.
HTML · CSS · JavaScript · GitHub Pages
This personal site: responsive layout, smooth navigation, and project showcase. Deployed on GitHub Pages for easy sharing.
Skills learned: responsive design, accessibility basics, deployment, SEO meta tags.
2025 — Present
2022 — Present
2024 — 2025
2024 — 2025
Email: ndonalsiby@gmail.com
Phone: +91 98952 18857
GitHub: github.com/donallsiby
LinkedIn: linkedin.com/in/donal-siby
— Donal Siby