Portfolio — Selected Projects
Social Media Sentiment Intelligence
Developed a sentiment analysis and trend forecasting system using NLP and topic modeling to analyze brand perception and public opinion on X (Twitter).
View on GitHubAI-Powered Resume Screener
Built an NLP-based system using BERT and NER to classify resumes, extract skills, and identify key gaps relative to job descriptions for automated candidate screening.
View on GitHubClimate Intelligence Dashboard
Designed an interactive dashboard predicting Air Quality Index (AQI) using geospatial and time series data to visualize environmental trends and pollution patterns.
View on GitHubHealthcare Resource Optimization
Developed a predictive analytics model to optimize hospital resource allocation — forecasting bed, ventilator, and staff demand to reduce patient wait times.
View on GitHubDynamic Pricing Engine for E-Commerce
Created an AI-driven pricing engine using regression and reinforcement learning to adjust product prices dynamically based on demand, seasonality, and competition.
View on GitHubResearch Papers
Designing a Dynamic Pricing Engine for E-Commerce: Revenue Optimization and Machine Learning Applications
This research explores a dynamic pricing system similar to Amazon, Uber, and major airlines. It combines regression, reinforcement learning, and API-based deployment to optimize pricing and revenue. Real-world e-commerce datasets demonstrate modeling market dynamics, predicting demand, and simulating pricing strategies for thousands of products.
View PaperAnalyzing AI-Assisted Outcomes in Healthcare Using Machine Learning on Synthetic Patient Data
This study investigates AI in healthcare using synthetic datasets of 5,000 patient records covering demographics, vitals, diagnoses, treatments, and AI-assisted outcomes. Applies machine learning models for patient profiling, predicting treatment efficacy, and assessing AI interventions to improve healthcare decision-making.
View PaperA Comparative Survey of Python and R for Data Science: Ecosystems, Applications, and Future Directions
Provides a comprehensive comparison of Python and R for data science applications. Analyzes library ecosystems, visualization tools, statistical and ML capabilities, and suitability across domains, helping beginners and professionals choose the right tool for specific data science tasks.
View PaperCourses & Certifications
Diploma in Data Science
Currently pursuing at Asquare Technologies, Kochi. Covers statistics, machine learning, and practical data analysis projects.
View CertificateIBM Data Science Professional Certificate
Comprehensive program with 12 modules covering Python, SQL, Data Analysis, Visualization, and Machine Learning.
View CertificateGenerative AI for Data Science
Certification by Microsoft exploring GenAI applications including data augmentation, feature engineering, anomaly detection, and generative modeling.
View CertificateResponsive Web Design
Certification by freeCodeCamp covering HTML, CSS, and web design fundamentals.
View CertificateGoogle Prompt Essentials
Certification by Google focusing on effective prompt creation for AI tools, optimizing productivity and creativity.
View CertificatePrompt Engineering Basics
Certification by Microsoft on crafting structured prompts for LLMs and generative AI applications.
View CertificateStorytelling
Certification by IESE Business School exploring narrative communication, emotional connection, and impactful storytelling for business and leadership.
View CertificateIntroduction to R Programming for Data Science
Certification by IBM focusing on data manipulation, visualization, and analytics using R programming, tailored for aspiring data scientists.
View Certificate