Pinned Repositories
Airline_Passenger_Referral_Prediction_Using_Machine_Learning
Amazon-Sales-Dashboard-Using-Tableau
The Amazon Sales Data Analysis Dashboard provides insights into key sales metrics like profit, revenue, shipment days, and units sold. It includes visualizations to assess performance by region, country, and sales channel. The dashboard helps stakeholders optimize strategies and improve profitability through data-driven analysis.
Credit-Card-Routing-for-Online-Purchase-via-Predictive-Modelling
Help the business to automate the credit card routing via a predictive model. Such a model should increase the payment success rate by finding the best possible PSP for each transaction and at the same time keep the transaction fees low.
Exploratory-Data-Analysis-using-Python
The primary goal of this exploratory data analysis is to create a reliable and effective Python program. Based on the training data, the program should select the four best-fit ideal functions from a set of 50 functions and then map the test data to these chosen functions while taking a deviation criterion into account.
Food-Delivery-Time-Prediction-Using-Machine-Learning
The Food Delivery Time Prediction Model estimates delivery times using regression algorithms, with XGBoost as the best performer, and is deployed as a real-time application via Streamlit.
Kaushik-Puttaswamy
Master-Thesis-Transparency_MedTranscription_BERT_XAI
Enhancing Transparency in Medical Text Transcription Classification: Assessing BERT Pre-trained Language Model Performance and Decision-Making Using Explainable AI (XAI) Techniques
Real-Time_Data_Streaming_Project
The project aims to create a real-time data application using Apache Kafka and Spark for stream processing, with data sourced from Kaggle and stored in Cassandra, prioritizing reliability, scalability, and security.
Kaushik-Puttaswamy's Repositories
Kaushik-Puttaswamy/Kaushik-Puttaswamy
Kaushik-Puttaswamy/Real-Time_Data_Streaming_Project
The project aims to create a real-time data application using Apache Kafka and Spark for stream processing, with data sourced from Kaggle and stored in Cassandra, prioritizing reliability, scalability, and security.
Kaushik-Puttaswamy/Airline_Passenger_Referral_Prediction_Using_Machine_Learning
Kaushik-Puttaswamy/Amazon-Sales-Dashboard-Using-Tableau
The Amazon Sales Data Analysis Dashboard provides insights into key sales metrics like profit, revenue, shipment days, and units sold. It includes visualizations to assess performance by region, country, and sales channel. The dashboard helps stakeholders optimize strategies and improve profitability through data-driven analysis.
Kaushik-Puttaswamy/Credit-Card-Routing-for-Online-Purchase-via-Predictive-Modelling
Help the business to automate the credit card routing via a predictive model. Such a model should increase the payment success rate by finding the best possible PSP for each transaction and at the same time keep the transaction fees low.
Kaushik-Puttaswamy/Exploratory-Data-Analysis-using-Python
The primary goal of this exploratory data analysis is to create a reliable and effective Python program. Based on the training data, the program should select the four best-fit ideal functions from a set of 50 functions and then map the test data to these chosen functions while taking a deviation criterion into account.
Kaushik-Puttaswamy/Food-Delivery-Time-Prediction-Using-Machine-Learning
The Food Delivery Time Prediction Model estimates delivery times using regression algorithms, with XGBoost as the best performer, and is deployed as a real-time application via Streamlit.
Kaushik-Puttaswamy/Master-Thesis-Transparency_MedTranscription_BERT_XAI
Enhancing Transparency in Medical Text Transcription Classification: Assessing BERT Pre-trained Language Model Performance and Decision-Making Using Explainable AI (XAI) Techniques