Portfolio

Showcasing my business intelligence and analytics projects

PowerBI Dashboard 1
PowerBI Dashboard 2
PowerBI Dashboard 3

PowerBI Data Visualization Dashboards

Comprehensive business intelligence dashboards showcasing advanced data visualization techniques, interactive reporting, and key performance indicators across multiple business domains. Features dynamic filtering, custom DAX calculations, and professional dashboard design.

PowerBI, DAX, Data Modeling, Business Intelligence, Interactive Dashboards

Marketing Attribution Model

Data-driven Marketing Attribution Dashboard

Developed multi-touchpoint attribution models to analyse customer journey and optimise $400K+ in annual marketing spend across channels. Delivers 30-day sales forecasts, ROI analysis, channel recommendations, and budget allocation insights.

Python, Django, Scikit-learn, Attribution Modeling, Analytics

Sentiment Analysis Dashboard

AI-Powered Sentiment Intelligence Dashboard

Interactive web application for real-time sentiment analysis leveraging NLP and LLM integration for advanced analytics. Features emotion detection, comprehensive analytics with intuitive visualisations, and automated insight generation for business intelligence.

Python, NLP, LLM, Machine Learning, Sentiment Analysis, Analytics

Semiconductor-Insights

Semiconductor-Insights

Semiconductor manufacturing analysis dashboard—an interactive tool designed to streamline the analysis of semiconductor manufacturing data with time-series forecasting and predictive analytics capabilities.

Python, Streamlit, Scikit-learn, Time Series Analysis

MentaMindscape

AI Psychologist: Your Digital Companion for Mental Wellness

This AI-powered tool provides users with guidance, resources, and support using advanced NLP and sentiment analysis. Demonstrates expertise in natural language processing and LLM-powered conversational AI for real-world applications.

NLP, Sentiment Analysis, LLM, Chatbot, AI

Depression Detection

Depression Detection on Social Media (Reddit)

Predictive model for depression detection using Reddit comments. Leverages machine learning, natural language processing, text preprocessing, and deep learning (LSTM) to identify depression-related text patterns and sentiment indicators.

Python, NLP, LSTM, Machine Learning, Sentiment Analysis