My Digital Store

Whether you are looking for a deep-dive workshop, a ready-to-use digital framework, or a one-on-one consultation, my products are designed using the same rigor I apply as an Elsevier scientific reviewer and a Lead Architect. Stop guessing how to use AI and start implementing data-driven strategies.

Human & AI Publication

The recent hype around AI is taking the spotlight away from Humanity. Yes, AI is helping and supporting in one facet, but that doesn't mean we, as humans, are worth less. In this publication, we'll discuss topics related to AI and humans.

Instructor at Udemy

I'm offering a few courses on different topics, from Finance to Hands-on Data Science projects.

AI in Energy Publication

AI in Energy: From Academic Papers to Industrial Pipes. Bridging the gap between ML research and energy infrastructure.

Review Paper from MSc Thesis

This review paper is derived from my Master's thesis and summarizes the work conducted in the literature review section. The paper is currently under review.

Substation Model-base controller - LSTM

The LSTM model controller, a type of recurrent neural network, effectively optimized the control of the Energy Transform Station by learning from historical data to predict future states, proving particularly successful in challenging scenarios like the labour camp where traditional PID controllers.

Data Profiler

This project was developed to address data profiling challenges, especially in the context of big data. It is deployed on Streamlit for general use, with the primary objective of providing comprehensive data profiling for any uploaded dataset using the pandas-profiling library.

Reading 100 PDFs

This app is designed to help users read and extract information from 100 or more PDFs in under 10 minutes. It efficiently extracts the required information and adds it to an Excel sheet, allowing users to seamlessly continue their process.

Hospital system - Back-end

This back-end application was developed for a mid-sized hospital to manage various business operations, from patient registration to admission.

Improved customer satisfaction rate

Improved customer satisfaction rates by utilizing a predictive model for early complaint detection. The model is built on various customer meter readings, such as flow rate and water supply temperature, while also incorporating historical data on customer complaints.

Data Analytics App

This project involved developing a Python-based application to analyze and display document tracking data from a major website, utilizing various Python libraries and frameworks.