Machine Learning
scikit-learn · NumPy · Pandas · model training · classification · regression · data preprocessing
Data Scientist & Software Developer
Turning raw data into meaningful insights
Computer Science graduate with a passion for machine learning, data analytics, and building intelligent systems that create real-world impact.
- 📊 Data Analysis & Visualization
- 🤖 Machine Learning Model Development
- 🗄️ ETL Pipelines & Data Warehousing
- 🌐 Web & Mobile App Development
4+
Projects
1K+
On LinkedIn
2+
Years IEEE
About me
Data-driven by nature, curious by choice
Computer Science Graduate with a focus on data science and machine learning. I'm passionate about extracting knowledge from complex datasets, building predictive models, and transforming raw numbers into actionable intelligence.
My technical toolkit spans the full data pipeline — from data wrangling and preprocessing with Python and SQL, to building and evaluating machine learning models with scikit-learn, to communicating results through interactive dashboards in Power BI. I also have strong software development skills that let me deploy models into real applications.
Beyond the code, I'm driven by a curiosity about how data shapes decisions — in agriculture, education, business, and beyond. I believe the best data scientists are not just analysts but storytellers who make numbers speak.
"Curious, creative and committed to turning data into decisions that matter."
Technical skills
Tools of the trade
Data & Analytics
SQL · Power BI · Excel · SSMS · SSIS · Talend · ETL pipelines · data warehousing
Programming
Python · Java · JavaScript · PHP · C · problem solving
Web & Mobile
React · HTML · CSS · Laravel · Flutter · Supabase · REST APIs
Big Data & Tools
Hadoop · Git · version control · collaborative development
Design
Adobe Illustrator · data visualization · dashboard design
Community
Associative life
- Member – IEEE ISIMS Student Branch (October 2023 – Present)
- Puzzle Creator - IEEE Puzzlers ISIMS Student Branch (January 2026 – Present)
- Webmaster – IEEE WIE ISIMS Affinity Group (April 2024 – October 2024)
- Ambassador – WIE ACT 3.0 (2024) · IEEEXtreme 18.0 (2024)
Work
Selected projects
Crop Recommendation System
Machine learning API that recommends optimal crops based on environmental data. Built a full pipeline: data preprocessing, normalization, and a trained classification model using NumPy and scikit-learn.
JavaScript Quiz Game
Interactive quiz game with dynamic scoring, real-time UI updates, and an engaging user interface — built entirely in vanilla JavaScript.
E-learning Platform
Full-featured mobile e-learning application developed with Flutter and Supabase during a mobile developer internship, supporting course management and user progress tracking.
Personal Portfolio
This very site — designed and built from scratch to showcase projects, skills, and professional achievements, with EmailJS integration for contact.
Open to work
Let's build something together
Data Analysis
Turn your raw data into clear dashboards, reports, and actionable recommendations using Python, SQL, and Power BI.
ML Model Development
Design, train, and deploy classification, regression, or recommendation models tailored to your business problem.
ETL & Data Pipelines
Build robust ETL workflows and data warehouses using SSIS, Talend, SQL Server, and Hadoop for scalable data infrastructure.
Web & Mobile Apps
Develop full-stack web apps with React and Laravel, or cross-platform mobile apps with Flutter and Supabase.