JobMatch Hero
AI Resume Analyzer
An AI-powered resume analysis application exploring NLP, text processing, embeddings and Generative AI to produce job-oriented resume insights.
AI/ML • Data Science • Data Analysis • Generative AI
I build data-driven solutions and intelligent applications that turn raw data, ideas, and real-world problems into practical outcomes.
I'm a Computer Science & Engineering graduate with a strong interest in Data Science, Data Analysis, Machine Learning, and Generative AI.
My learning has been centered around building: from exploratory analysis and dashboards to machine learning models, RAG workflows, NLP applications, and interactive AI systems.
I enjoy understanding why something works, experimenting with different approaches, and turning what I learn into practical projects.
I'm looking for opportunities to work with real-world data and projects, contribute to a team, and keep growing as an AI/ML & Data Science professional.
A practical stack spanning analytics, machine learning, NLP, and Generative AI.
An AI-powered resume analysis application exploring NLP, text processing, embeddings and Generative AI to produce job-oriented resume insights.
Interactive analysis of U.S. flight delay data with cleaning, KPIs, filters, visual analysis and a business-style Power BI dashboard.
Exploration of Netflix catalog data using cleaning, transformation, feature analysis and visual storytelling to identify meaningful patterns.
End-to-end exploration of passenger characteristics and survival-related patterns through data inspection, cleaning and visualization.
Compared Logistic Regression, Decision Tree and Random Forest models using preprocessing, stratified splitting, evaluation and GridSearchCV.
Interactive learning prototype combining drawing input, OCR, educational explanations, multimedia search, text-to-speech and attentiveness analysis.
A Generative AI storyteller that narrates any story aloud with Kokoro TTS — pick from multiple male and female voices that shift tone with the story's emotion.
Completed intensive, project-oriented training in Python, SQL, Data Science, Machine Learning, and Generative AI through practical assignments, mini-projects, and business-oriented use cases. Developed hands-on experience with data preprocessing, machine learning workflows, prompt engineering, RAG pipelines, embeddings, model evaluation, and Generative AI application workflows.
Gained practical exposure to Python programming through structured development tasks and hands-on assignments, strengthening programming fundamentals and problem-solving skills.
Technical skills become valuable when they are applied to real problems.
Understand fundamentals and the reasoning behind a technology.
Turn concepts into working projects instead of stopping at theory.
Evaluate results, identify limitations and understand what can improve.
Experiment with better approaches and continuously expand my skills.
I'm looking for opportunities to work on real-world data and AI projects, contribute to meaningful work, learn from experienced teams, and grow as an AI/ML & Data Science professional.