Skilled in Data Exploration and Analysis, Data Visualization, Feature Engineeering, Modelling, Deep learning, Computer Vision, SQL, Unsupervised and Supervised Learning
Cohere.ai excels in text classification, surpassing traditional AI methods with limited training data. Leveraging pre-trained knowledge and capturing intricate language patterns, their model achieves remarkable results.
The restaurant chatbot which utilizes NLP uses Cards to generate rich responses, including menus and images. It extends its capabilities beyond Google Assistant into other integrations, providing engaging content and enhancing the user experience.
Research Project that classifies the multiple stages of malaria using transfer learning, graph convolutional network and unsupervised classification built with tensorflow, spektral graph library
This project used LSTM RNN and XLNet models to analyze sentiment in movie reviews from the IMDB dataset demonstrating diverse and effective approaches to sentiment analysis.
Explored the covid 19 data with sql and found the world’s total cases, total deaths, total population, death percentage, and case percentage, countries with their total cases, the sum of deaths, the Percentage of Population Infected, and the Percentage of their population Dead and soon.
Tested an initial hypothesis that churn from an energy and electricity service company was driven by price sensitivity accourding to the given data, had to clean and explore the data, select and extract features that were relevant to customer churn, and built a predictive model to predict whether a customer will churn or not.