This is Full-stack Ethereum accounting system that automates cryptocurrency tax preparation, reducing 40 hours of manual work to 5 minutes with 100% accuracy.
Built with FastAPI, Next.js, and PostgreSQL. Users input their wallet address and the system handles everything: fetching transactions from blockchain APIs,
processing through an 11-module accounting pipeline, calculating FIFO cost basis, classifying income and expenses, and generating professional financial statements.
This comprehensive analytics dashboard provides deep insights into the Sui blockchain ecosystem, leveraging Sui's unique object-centric architecture to deliver actionable metrics for investors,
developers, and protocol analysts. Unlike traditional blockchain dashboards that rely on account-based models, this project is specifically designed for Sui's object-centric architecture, where all
on-chain assets and state are represented as objects. This fundamental design difference enables novel analytics approaches that capture the true nature of value flow and protocol interaction on Sui.
Comprehensive analytics dashboard evaluating Sonic blockchain's ecosystem health beyond headline metrics. While Sonic shows $18.2B in DEX volume and 2.8M users, deeper analysis reveals 0.43%
daily active rate, 74-92% variable transaction success, and 4.2% cross-category engagement. Tracks network performance, DeFi activity, user retention, and token economics to evaluate
whether impressive acquisition translates into sustainable value.
This blockchain analytics project investigates the relationship between large Ethereum whale transactions (>$100K) and subsequent market price movements.
By integrating Dune Analytics and CoinGecko data into a reproducible Python pipeline, it uncovers patterns and correlations that could indicate periods of heightened volatility.
This is an interactive AI-powered application built with Streamlit and GPT-4o that simulates realistic job interviews tailored to the user’s role, experience, and target company.
In just 5 questions, it delivers an overall score and personalized feedback, helping users practice, identify strengths, and improve their performance by up to 30% in subsequent mock sessions.
Global Talent Solutions (GTS), a multinational HR services provider with 10,000+ employees in 25 countries, offers talent acquisition, training, and workforce analytics to clients from SMEs to Fortune 500 companies.
Recently, GTS has faced a 20% employee attrition rate, well above the 12% industry average. This has instigated an analysis to uncover key drivers of attrition and predict employees most at risk of leaving.
Connectel is a leading telecommunications provider specialising in delivering reliable, high-quality connectivity solutions for individuals and businesses.
With a focus on customer satisfaction, Connectel offers a range of services including mobile plans, broadband internet, and tailored communication solutions.
This case study examines and analyses how payment methods and technical support influence customer churn.
This project automates license plate detection, text extraction, and QR code integration using OpenCV and EasyOCR computer vision techniques.
It demonstrates an end-to-end pipeline that processes vehicle images, detects license plates, and extracts textual information using Optical Character Recognition (OCR).
This project is well-suited for applications such as automated toll systems, parking management, and vehicle identification.
This project leverages MediaPipe and OpenCV to perform real-time human pose detection using a webcam.
The goal is to identify and visualise key body landmarks, enabling applications in fitness tracking, motion analysis, and interactive systems.
The project also demonstrates a streamlined workflow for capturing video input, processing frames and rendering pose landmarks.
This project focuses on implementing a face recognition system using OpenCV in Python.
This projects employs Haar-Cascade classifiers to detect faces, eyes, and smiles in both live webcam feeds and static images.
This project looks at the step-by-step breakdown, key methodologies, results, and recommendations.
Haar-Cascade Classifiers is a machine learning-based object detection using edge and line features and efficient for real-time applications.
This project demonstrates real-time hand detection using computer vision techniques, leveraging Google's MediaPipe library and OpenCV.
The system captures live video from a webcam, detects hands, and visualises their landmarks and connections.
Below is a detailed breakdown of the methodology, results, and implications.
TimberCrest Furnishings operates across various U.S. cities, providing essential office supplies, furnishings, maintenance equipment, and more.
The analysis aims to help the company ensure productivity and efficiency in public and private spaces by optimizing its sales performance,
product inventory, and customer relationships.
This project analyses employee performance, attrition, and demographics for Emerald Technologies,
a multinational telecommunications company in Africa and Asia.
The analysis aims to address critical business challenges related to employee retention, performance management,
and the effectiveness of training programs.
This project analyses sales data from Ken's Supplies, a provider of office supplies, furniture, and technology products.
Using data analytics, we explore sales trends, profitability, and market opportunities through Tableau visualisations.
Ken’s Supplies seeks to gain deeper insights into its sales performance across various product subcategories.
The challenge is to analyse year-over-year sales trends, profit margins, and product subcategory performance
to enhance decision-making regarding inventory management, pricing strategies, and future product investments.
TechSolutions, a global technology company specialising in software development and IT consulting, has been facing high employee attrition.
This project aims to analyze attrition patterns using data-driven insights to identify key contributing factors and recommend strategies
to enhance employee retention and satisfaction.
This report, presents a comprehensive analysis that aims to enhance operational efficiency by providing actionable insights into Emergency Room performance.
Using Power BI, this project examines patient admissions, wait times, department referrals, and satisfaction scores to optimise resource allocation
and improve patient experiences.
This analysis runs a comprehensive analysis of the pizza sales data. Using SQL queries, Power BI dashboards, and also provides actionable insights into business performance.
This analysis targets key performance indicators (KPIs) and visual trends, ultimately empowering stakeholders to make data-driven decisions.
Global Mart Inc., a leading retail giant, has a diverse customer base with a wide range of product
offerings, including electronics, fashion, home goods, and more.
As a Data Scientist, I have been given the dataset to help better understand customer purchasing patterns and satisfaction levels.
This project demonstrates data analysis and visualization skills, delivering actionable insights for enhancing customer
satisfaction and business growth.