AnanthDA/customer-retention-intelligence-agent
Multi-agent AI system for proactive customer churn detection and Next Best Action recommendations using LangGraph, RAG, ChromaDB and Azure OpenAI.
An enthusiastic data analyst working to emphasize my academic and professional skills to deliver better results and benefit the organizations
Repositories
AnanthDA/care_ai
A healthcare AI built to provide nutritional benefits
AnanthDA/dentsu_agentic_ai
Creating an app using Agentic AI for training purpose
AnanthDA/Supply_Chain_Analytics_Capstone_Project_IIIT-B
The open-pit mine is facing problems of inefficient production and is losing customers' trust as they are not able to meet their demands even though there has been no surge in demand. As an analyst, you have been approached to build a smart live monitoring system. You have been given some key metrics to capture and what operations are to be done.
AnanthDA/AnanthDA
Config files for my GitHub profile.
AnanthDA/Accenture-Data-Analytics-and-Visualizations
The virtual project deals with a dataset that is complex which has to be cleaned, modelled, visualized and presentation has to be prepared.
AnanthDA/PwC-Power-BI-in-Data-Analytics-Project
Fiddling around in Excel sheets just doesn’t suit a digital jedi. In Switzerland, PwC’s Digital Upskilling Academy helps our people move from zero to digital hero. PwC is upskilling 284,000 people because the right digital skills make us agile, adaptable and fit for the future. We use powerful Data Analytics tools to help solve business problems.
AnanthDA/Recipe_Recommender_Assignment_EDA
If you visit any recipe websites, let’s say food.com, for example, you will notice a section called “You’ll also love.” Under this section, the website recommends recipes related to the one you are looking at or based on your past rating patterns. The end objective of this project is to perform EDA and extraction from the raw data using PySpark
AnanthDA/Bike_Sharing_Linear_Regression_Assignment
This assignment is a programming assignment wherein a multiple linear regression model is to be built for prediction of demand for shared bikes.
AnanthDA/Data-Visualization-Empowering-Business-with-Effective-Insights
This project holds all the files regarding "Data Visualization Empowering Business with Effective Insights" for which a dataset will be provided, visualizations and insights have to prepared with respect to the data.
AnanthDA/RSVP_Movie_IMDB_Project__IIIT-B
AnanthDA/Titanic_Survival_Analysis
Make a system which tells whether the person will be save from sinking. What factors were most likely lead to success-socio-economic status, age, gender and more.
AnanthDA/Multivariate_Econometric_Modelling_of_Commercial_and_Passenger_Vehicles
This GitHub repository presents a comprehensive analysis of the commercial and passenger vehicle markets, employing advanced econometric techniques and machine learning methodologies. The primary objective of this project is to provide data-driven insights and accurate forecasts for decision-makers in the automotive industry.
AnanthDA/Netflix_LSTM_Stock_Price_Prediction
To predict the stock price prediction of Netflix organization using LSTM Model Predictive Analysis
AnanthDA/INeuron_Python_Assignment
This is a Python fundamental basic assignment provided by INeuron
AnanthDA/MedTourEasy_Internship
Analysis of Death Age Difference of Right Handers with Left Handers
AnanthDA/Storytelling-Case-Study-Airbnb-NYC
To prepare for the next best steps that Airbnb needs to take as a business, you have been asked to analyze a dataset consisting of various Airbnb listings in New York.
AnanthDA/Credit-Exploratory-Data-Analysis-Assignment
In this assignment, apart from applying the techniques that have been learnt in the EDA sessions, a basic understanding of risk analytics has been developed in banking and financial services and understand how the data is used to minimize the risk of losing money while lending to customers.
AnanthDA/Lead_Scoring_Case_Study_IIIT-B
This analysis is performed for X Education and to find ways to get more industry professionals to join their courses. The dataset provided gave us a lot of information about how the potential customers visit the site, the time spent in it and how the customers reach the site with respect to the conversion rate.