Samyush B. Rana

Dynamic professional with expertise in data management and student recruitment at Loras College. Proficient in SQL and Microsoft Excel, enhancing operational efficiency through collaboration and data accuracy. Demonstrated success in streamlining processes to improve admissions experiences for prospective students.

English (Fluent), Nepali (Fluent), Hindi (Conversational)

Spotify Song Recommendation System with Emotion-Based Filtering, Personal Project June 2025, Built a dynamic music recommender that uses the Kaggle API to fetch real-time song data based on user input., Integrated a song search interface with a recommendation engine that matches tracks based on audio similarity and user emotion., Incorporated emotion analysis by correlating song features (tempo, mode, energy) with mood-based clustering., Used Python (pandas, requests, scikit-learn), Spotify/Kaggle APIs, and user-centered logic to enhance UX through personalized results., Designed with scalability and performance in mind, allowing accurate, diverse recommendations across genres and moods., Climate Change Impact Data Model, Personal Project March 2025, Analyzed trends in large-scale climate datasets using predictive models to deliver actionable environmental insights., Conducted root cause analysis on sentiment classification results, identifying misclassifications and refining preprocessing workflows to boost accuracy., Applied statistical methods and A/B logic in emotion-based music recommendations to improve relevance and user engagement., Twitter Sentiment Analysis using Hugging Face, Personal Project April 2025, Built a sentiment analysis tool using Hugging Face’s twitter-roberta-base-sentiment model to classify tweets into positive, neutral, or negative categories., Preprocessed both live and sample tweets, applied natural language processing (NLP) techniques, and generated sentiment-based insights using Python., Demonstrated model accuracy and performance through visualizations and summarized social media sentiment trends., Project Leader, Applied Analytics February 2024, Led a group project analyzing migration patterns in and out of California using JMP software, ensuring effective collaboration and timely project completion., Collected and processed public datasets from Google to identify migration trends and analyzed their correlation with tax rates in California and the USA., Visualized data through charts and graphs, presenting findings in a comprehensive report that detailed key trends, actionable insights, and recommendations related to migration and tax rates.

Top Business Analytics Student Award, Loras College — 2024-2025, Dean’s List (3 Semesters)

• Loras Spiritual Life Trek Trip, Volunteer, 2024
• Red Cross Blood Drive, Volunteer, 2019

• Global Student Union, Treasurer (2022-2024)
• Boxing Club, Treasurer (2023-2024)

Data Visualization and Dashboards with Excel and Cognos Data Visualization and Dashboards with Excel and Cognos

IBM