Kriston Pal

Motivated Master of Science in Business Analytics student graduating May 2024 and experienced software engineer skilled in data analysis, React Native development, and machine learning. Strong communicator, problem-solver, and leader in dynamic environments, with proven troubleshooting and debugging capabilities.

• Predicting Wine Quality with Machine Learning Models (10/2023 - 11/2023)

Explored wine quality prediction using diverse machine learning models in R, including Linear Regression, SVR, Polynomial Regression, Decision Tree, and Random Forest. Identified the "Random Forest Regression" model as the most effective, showcasing superior predictive accuracy with the lowest MAE and RMSE values.

• Tornado Loss Trends (05/2023 - 06/2023)

Explored #tidytuesday's Tornado dataset, creating a concise R visualization that showcased the evolving trends in losses associated with tornado events over time with a clean, titled "Loss Over Time" plot featuring blue dots for visibility, highlighting the peak loss in 2011.

• FIFA World Cup Storytelling (04/2023 - 05/2023)

Created a dashboard in Power BI to visualize various aspects of the FIFA World Cup data, including which team scored the most goals, instances of last-minute goals, the player with the most goals and the country with the most FIFA wins, and other analytics.

• Image Contrast Enhancement Project (01/2019 - 07/2019)

Developed using Flask in Python during the seventh semester, this project employed Exposure Fusion algorithms for superior image contrast enhancement compared to histogram equalization and dynamic histogram equalization.

• Wish List Nepal Website (05/2018 - 03/2019)

The official website for Wish List Nepal Tours and Travels, built with Laravel framework in PHP, provides various tour and ticketing information.

• ChatBot for Travel Agency (08/2018 - 12/2018)

Flask framework in Python was used during the sixth semester to create a chatbot for a travel agency, employing the ChatterBot library to provide information on Nepal's tour packages.

• DWIT Project Stock (02/2018 - 05/2018)

Developed in the Maven framework in Java during the fifth semester, this project compiles information on all DWIT projects, allowing users to access project details and download related documentation.