Project Case Study 1

Built a real-time Machine Learning AI model that accurately predicts the S&P 500 and Dow Jones financial market.

• The project completion involved analyzing the entire S&P 500 and Dow Jones stocks and building a machine learning model that accurately predicts a particular date when a stock value will increase or decrease in price based on a trained historical dataset of the past 10 years.

Project Case Study 2

A Natural Language Processing (NLP) prediction model built on customer sentiment analysis.

• This is an NLP project that involves building a machine learning model with statistical data analytics that accurately predicts customers purchasing behavior based on historical datasets also track and monitor the likelihood of a customer purchasing newly released products based on demographics and previous purchase history.

Project Case Study 3

Built a custom LLM Large Language Model chat App for an enterprise which is more like a chatGPT prototype.

• This project involved obtaining an organization custom information such as employee data, products, services and SaaS then feed the entire data to an AI language model. The AI model passes through a training phase learning the entire input data and fine-tuning its memory efficiency. Thereby proactively answering user input questions based on optimized learning.

Project Case Study 4

Built a practical hardware simulation for the 7-segment LCD display. Utilizing KEIL μVision 5 simulator with Proteus 8.

• The practical demo for this project consists of interfacing the AT89C51 microcontroller 16-bit counter with a keypad to display and output the exact key pressed on a 7-segment display interface. Code written in C language.

Project Case Study 5

Accurately forecasting real estate housing rental prices using Machine Learning Algorithms.

• The objective of this project involved building an ML predictive model that forecasts housing prices based on specific influential factors. With these insights obtained, people in society looking for accommodation can easily make better decisions.

Project Case Study 6

Anomaly Detection using Graph Neural Networks to detect suspicious patterns over a network activity.

• The project objective involved building a GNN model that identifies sensor values on heterogeneous graph data and makes a link prediction to detect anomaly patterns over a Graph Convolutional Network based on time series log events displayed on graph data.

Project Case Study 7

Built and Implemented AES & RSA Cryptography App for IoT devices using C# with .Net framework.

• The completed project involved developing and implementing both encryption and decryption functionality of a stored data file in a system directory to ensure data protection is upheld at a high standard within an IoT environment.

Project Case Study 9

Built a Blockchain crypto trading bot on Solana by utilizing statistical analysis and master trader insight.

• The achieved criteria involved developing a Solana crypto trading bot that automatically copy trades and execute buy and sell orders on the blockchain via an RPC node. The bot statistically analyzes and monitors newly launched tokens then identifies master traders and automatically copies their trades in realtime to conduct a buy and sell order.

Project Case Study 11

Web3 Blockchain NFT Drop Decentralized App with integrated layers of security authentication on wallet sign-in.

• The successful project completion involved building an Esports NFT Dapp for a startup company with integrated functionality such as creating and releasing Esports NFT Drop collections via the blockchain network that allow registered users to mint their own NFTs which are visible on OpenSea.

Project Case Study 11

Built a web-based UI registration encryption application with OTP 2-factor secure authentication and verification.

• The completed project achieved the overall primary objective which consists of a secure web base encryption registration user interface with OTP and 2-factor authentication integration, linked to MySQL database.

Project Case Study 12

A predictive analytics study on Multi-Objective Decision Analysis based on TOPSIS technique implementation.

• The achieved criteria focused on building a predictive model for a Multi-Objective Decision Analysis. This involves decision-making based on multiple criteria and influential factors. The objective of this project is to apply analytics to identify major factors that can highly affect and influence decision outcomes based on complex features in a dataset.

Project Case Study 13

Solving logistics problems in the aspect of Supply Chain Operations by implementing dynamic programming procedures.

• The technique applied in solving this challenge and deriving the optimum solution involved applying the TSP Traveling Salesman Problem approach to identify the shortest route to a destination based on multiple available routes.

Project Case Study 14

Effectively leveraged AI and Machine Learning to accurately forecast the financial market.

• The completed project involved building a time series machine learning model with applied mathematics and statistical principles to fetch real-time financial market datasets via web socket API and forecast the financial market volatility price movement based on trained historical datasets.

Project Case Study 15

A study on human behavioral changes using Game Theory based on Mathematical Models and Machine Learning.

• This involved analyzing human reactions by applying a mathematical model to study and understand human behavioral changes and interactions in response to economic and social influence. The project implementation requires applying a combination of statistical analytics, mathematics principles and machine learning to uncover theoretical insights.