Shuaib Iqbal

As a Data Scientist at AiSighit.ai, I forecast sales and quantities using FMCG datasets, create AI models with machine learning and deep learning techniques, and automate tasks with Python scripts. I also design and implement data pipelines on Linux, integrate AI models into SaaS products, and manage tasks using JIRA and GIT.

In my role as an Associate Machine Learning Engineer at Sense Digital, I gathered and interpreted data, performed data preprocessing and exploratory data analysis, and built AI models using various machine learning algorithms. I also worked on SaaS product dockerization and developed data pipelines on Linux platforms.

During my internship at IVY Interactive Solutions, I focused on understanding FMCG data and forecasting sales using various machine learning techniques like Fbprophet and ARIMA. I also conducted RFM analysis to rank and group customers based on their behavior.

As a Computer Science Lecturer at Eclat College for Girls, I was responsible for planning experiments, assigning work, grading tests, and responding to student inquiries. I contributed to the academic development of students in computer science.

Grade: 3.50/4.00

Specialized in Machine Learning, Pattern Recognition, Image Processing, and Digital Signal Processing. Completed a thesis on predicting residential energy consumption using Encoder-Decoder CNN-LSTM.

Grade: 3.62/4.00

Focused on Artificial Intelligence and Robotics, Image Processing, and Data Warehousing. Completed a thesis on pattern formation of swarm robots.