Vikram Vadhirajan
Portfolio

APR 2026

Project: Company Bankruptcy Prediction

A Machine Learning project that predicts whether a company is likely to go bankrupt based on financial indicators. This project demonstrates an end-to-end machine learning workflow, including data preprocessing, dimensionality reduction using Principal Component Analysis (PCA), model training using Support Vector Classifier (SVC), and deployment through Streamlit.

Project Link: Company Bankruptcy Prediction- App
Repo Link: Company Bankruptcy Prediction- Repo

Tech Stack

MAR 2026

Project: Telecom Customer Churn Prediction

Developed an interactive machine learning web application that predicts the likelihood of a telecom customer churning based on service usage, contract details, and billing information. The application allows users to input customer attributes such as tenure, internet service type, contract type, payment method, and monthly charges to generate real-time churn predictions. The model was trained using supervised learning techniques and deployed through a Streamlit interface, demonstrating the end-to-end machine learning workflow including data preprocessing, model training, evaluation, model serialization, and live prediction deployment.

Project Link: Customer Churn- App
Repo Link: Customer Churn- Repo

Tech Stack

MAR 2026

Project: Automated Comment Sentiment Analysis using NLP

Developed a Streamlit-based NLP application that performs automated sentiment analysis on user comments from CSV, Excel, or JSON files using a pre-trained BERTweet model. The tool processes large text datasets, handles long comments through chunking, and outputs sentiment labels and confidence scores with downloadable results for further analysis

Project Link: Sentiment Checking- App
Repo Link: Sentiment Checking- Repo

Tech Stack

Feb 2026

Project: Kidney Disease Prediction

This project predicts whether a patient is likely to have kidney disease based on clinical parameters. It demonstrates a complete end-to-end ML pipeline including preprocessing, feature engineering, model training, and deployment

Project Link: Kidney Disease Prediction – App
Repo Link: Kidney Disease Prediction - Repo

Tech Stack

APR 2025

Project: Warranty Cost Optimization Dashboard (Power BI)

Designed a Power BI dashboard analyzing warranty cost-to-sales relationships using KPI targets, geographic insights, and interactive slicers to support cost optimization decisions.

Project Link: Warranty Analysis Report

Tech Stack

APR 2024

Project: Adventure Works Sales Analytics Dashboard

Developed an interactive Power BI sales analytics dashboard for Adventure Works, visualizing sales performance, profit percentage, and product category trends across regions to enable data-driven business insights.

Project Link: Adventure Work Report

Tech Stack