Karunamaye Nayak

A Data Specialist with a robust background in working with start-ups, I specialize in providing data-driven insights for strategic decision-making. Proficient in Python, SQL, and PowerBI, my strength lies in analysing and leveraging data-driven insights to drive business decisions. Passionate about data-driven problem-solving, I consistently stay updated on industry trends and possess knowledge of advanced data science techniques, including Machine Learning (ML), Natural Language Processing (NLP), Deep learning, and Large Language Models (LLMs). I am eager to take on challenging positions in dynamic organizations where I can apply my expertise in data analysis, machine learning, and statistical modelling to solve complex problems and contribute to the company's growth.

• Led SkillVertex's acquisition by Oliveboard with the founding team.
• Won Best EdTech Platform by CE Worldwide, 2021.

Sentiment-Based Hotel Review Analysis and Recommendation System, Employed sentiment analysis, a natural language processing (NLP) technique, to discern the positivity or negativity of reviews. Using a bag-of-words model coupled with the Naive Bayes Classifier, the method exhibited robust performance, achieving 93.5% accuracy in training and 92.5% accuracy in testing. These results outperformed alternative machine learning algorithms in terms of accuracy. Found the most informative features, which are the words that best identify a positive or a negative review, or the words that had the greatest effect on the prediction accuracy. Employed Cosine similarity to suggest the optimal hotels according to user preferences and integrated a language model by Google, PaLM2, to generate concise descriptions for the recommended hotels., https://github.com/Rajsinghania