Manoj Manivannan

A Data Analyst Engineer based out of UK. I am passionate about Data analytics, Generative AI & Machine learning. A relatively private individual, with an ability to concentrate on the task at hand. Consistent and thoughtful. I work best with familiar processes and do things systematically. I am tolerant, easy-going, and uncritical in getting along with others.

I am enthusiastic about collaborating in data science, Gen AI and machine learning projects.

• PoC of Chatbot using Graph RAG here.
• Data science works here and Prediction-Anomaly Detection here.
• A simple International Space Station tracking application here - built using Streamlit.
  • The original source code of the app is here if you are interested.
• Check out a Multivariate Time-Series prediction app using LSTM here - built using Streamlit.

PS: Please wait a few seconds for the Streamlit app to boot up

* because of NDA, I can't showcase any of my works here

Developed a data-driven model to forecast the energy consumption of HVAC systems with around 85% accuracy. Models used include Artificial Neural Networks, Support Vector Machines, and Random Forests. The accuracy of short-term and long-term forecast was also compared. To find out more, check the publication at MDPI. To know more about the reseach activites at Data Optima Lab, click here.

Performed an exploratory data analysis, Principle component analysis and Linear Regression (PyTorch) on Combined Cycle Power Plant dataset from UCI Machine Learning Repository. Checkout the IPython Notebook here. If you wish to run the notebook, you can do so directly from Google Colab here.

Data Exploration

Linear Regression

Performed an exploratory data analysis and Principle component analysis on health tracker dataset from my online course. Checkout the IPython Notebook here.

Data Exploration

Exploratory data analysis on Bike Sharing dataset from UCI machine learning library. Checkout the IPython Notebook here.

Data Exploration

Regression Model

Exploratory data analysis on COVID-19 dataset from OWID. Checkout the IPython Notebook here.

Data Exploration

Time series prediction using AutoML library TPOT of Air Quality dataset. Checkout the IPython Notebook here.

Time Series Prediction