Healthcare Analytics Dashboard

This Healthcare Analytics Dashboard project was designed to provide hospital leadership with actionable insights into financial performance. The dashboard also supports drill-down analysis by city, department, and diagnosis.

Tata Data Visualisation: Empowering Business with Effective Insights

The task involved analyzing revenue and performance data for a retail client, cleaning and preparing the dataset, and designing clear, actionable visualizations using Tableau. The deliverables included dashboards, charts, and an executive summary, aimed at helping senior leadership.

ANN-Based Customer Churn Prediction

Built an ANN-based churn prediction model using Telco customer data. Performed preprocessing steps like cleaning, encoding, and scaling before training the model and evaluating it with key metrics. Achieved 86% accuracy and uncovered churn drivers such as tenure and contract type.

Prompt Engineering & Programming with OpenAI 4

Hands-on projects from the Prompt Engineering & Programming with OpenAI course, showcasing how to design effective prompts and build generative AI applications. Includes examples of text generation, summarization, image creation, and workflow automation using Python, OpenAI API, and LangChain.

BCG-GenAI powered Financial Chatbot

Gained experience in Python programming, including the use of libraries such as pandas for data manipulation. Integrated and interpreted complex financial data from 10-K and 10-Q reports, employing rule-based logic to create a chatbot that provides user-friendly financial insights and analysis.

Prompt Engineering in Google- Vertex AI Studio

A generative AI prototype built on Google Cloud Vertex AI Studio to create marketing content for an outdoor retail brand. This project includes AI-driven tools for generating evocative product descriptions and catchy taglines from images and prompts, deployed via Cloud Run for web-based interaction.

GenAI powered Data Analytics by TATA

Proposed and justified an initial no-code predictive modeling framework to assess customer delinquency risk. Designed an AI-driven collections strategy leveraging agentic AI and automation, incorporating ethical AI principles, regulatory compliance, and scalable implementation frameworks.

Voice Controlled Chatbot

•Developed a voice-controlled chatbot leveraging the Meta Llama3 model, enabling users to interact with the system through natural language processing. •Utilized Streamlit for the front-end interface, providing a user-friendly experience and seamless integration with the voice-controlled chatbot

Deloitte Australia Data Analytics Job Simulation

Completed a Deloitte job simulation involving data analysis and forensic technology. Created a data dashboard using Tableau. Used Excel to classify data and draw business conclusions

Quantium Job Simulation- Chip Sales Analysis

-> Conducted customer segmentation and transaction analysis to uncover purchasing behavior in the chips category, informing strategic targeting recommendations. -> Evaluated store layout trials using matched control stores, performed uplift analysis with statistical testing, and delivered rollouts.

British Airways- Ticket Sales Prediction

-> Completed a simulation focussing on how data science is a critical component of British Airways' success. -> Scraped and analyzed customer review data to uncover findings. -> Built a predictive model to understand factors that influence buying behavior.

Predictive Analytics for Conagra Brands

Analyzed consumer preferences and market trends to optimize Conagra Brands' Tablespreads category for growth. Data analysis and predictive modeling were used to forecast demand, enhance product offerings, and inform marketing strategies.

Truck Driver Risk Analysis

Analyzed data to identify high-risk commercial truck drivers, predicted risk factors using machine learning, and created a Tableau dashboard for detailed analysis. This project aims to enhance safety by providing actionable insights for fleet management.

Clustering Articles using Natural Language Processing

Focused on clustering a selection of ArXiv articles in the realms of machine learning and natural language processing. The dataset comprised approximately 800 articles, spanning, providing a rich ground for text clustering exploration.

Analyzing Medicare Data for Multiple Chronic Conditions

This project analyzes a dataset of 44,974 Medicare beneficiaries with multiple chronic conditions, exploring relationships between demographics, geography, conditions, healthcare utilization, and costs. Predictive models were developed to estimate prevalence, payments, and readmission rates.

Web Analytics and SEO Strategy Analysis

This project analyzes SEO and web analytics strategies for Greystar, Netflix, Stripe, and Instacart. It covers keyword research, competitive analysis, and backlink analysis, offering insights and recommendations to enhance each company's online presence and search engine rankings.

Video Game Sales Prediction

This project aims to forecast video game sales using various ML techniques. By analyzing historical sales data, demographic trends, and game attributes, the model provides actionable insights to help video game companies make informed, data-driven decisions to optimize their marketing strategies.

Rice Crop Detection Using Satellite Data

This project leverages satellite data and machine learning techniques to detect and classify rice crops, aiming to enhance agricultural sustainability and optimize resource allocation. The model achieved an accuracy of 78.82%, demonstrating its effectiveness in classifying rice fields.

Detection of Malarial Parasites in Blood Samples Using Image Processing, Machine Learning, and Deep Learning

Developed a system to detect malarial parasites in blood samples by leveraging image processing, machine learning, and deep learning techniques. This project aims to enhance the accuracy and efficiency of malaria diagnosis, aiding in timely and effective treatment.