PERSONAL PROJECTS:

J.A.R.V.I.S - PERSONAL ASSISTANT

A playful yet practical side project where the AI acts as a personal assistant, interacting seamlessly with the user.

The feature uses the OpenAI's API to integrate GPT-4 model and LangChain framework to orchestrate the conversation.

Built a web server with Python Flask framework to handle requests and manage the assistant’s logic.

The UI elements are designed using the DALL-E text to image model and implemented with HTML.

Also created the IOS app out of the Python Flask.

SwiftUI was used to write the front end elements.

I built this iOS app to demonstrate how vibe coding with AI can redefine what’s possible for PMs.

Bank Customer Churn Analysis

A comprehensive analysis of customer churn in a banking dataset.

Tech Stack: Python, Pandas, Matplotlib, Seaborn, Scikit-learn, Jupyter Notebook, statsmodels'

Model performance for predicting the churn (dependent variable) on the basis of independent variables like 'EstimatedSalary','CreditScore','Age','Tenure','Balance'

Feature cofficients to identify the relative influence of the independent variables on the model's decision making. Negative feature coefficients like 'Tenure' and 'CreditScore' decreases the probability of customer exiting; meaning the customer with higher of these feature is less likely to exit.