Sahit Ceeka

Graduate student in Computer Science at UNCC (Spring 2025) with expertise in AI, machine learning, and data analysis. Skilled in Python, R, SQL, and experienced in developing models for recommendation systems. Resourceful Assistant known for high productivity and efficiently completing tasks. Specialize in time management, problem-solving, and communication skills. Excel in environments requiring ability to effectively prioritize work and manage complex schedules. Known for strong interpersonal skills, adaptability, and capability to thrive under pressure.

Completed 28 Online Certification courses, till date, which include Programming, Data Analysis, AI/ML, Personality Development and Managing skill courses by Harvard, MIT, RIT, IIMB, University of Queensland etc.

Twitter trend analysis using a generative probabilistic model, developed and implemented generative probabilistic models, gathered relevant data, and generated actionable insights to inform marketing and content strategies 

Titanic Survival Analysis: Built a machine learning model using the Titanic dataset from Kaggle to predict passenger survival, performed data preprocessing, feature engineering, and applied logistic regression Music Genre Classification: Developed a model to automate music genre classification, aiming to streamline song selection, and identify trends, popular genres, and artists Applied machine learning algorithms to classify music into genres. 

Flight Delay Prediction using Aviation Big Data and Machine Learning
• Developed a flight delay prediction system utilizing Python, scikit-learn, and pandas, integrating a suite of machine learning models—Logistic Regression, K Neighbors, Decision Tree, Random Forest, Gaussian Naive Bayes, LightGBM, XGBoost, and AdaBoost—to analyze over 100,000 flight records, achieving up to 85% accuracy.

• Technology Incubator of NEN (National Entrepreneurship Network)
• Coordinator of NSS (National Service Scheme)
• International Rank 3762 in IEEE Extreme 15.0 (2022), College Rank 15.