Siyana Naik

Masters-educated Data Scientist and Software Engineer adept at distilling intricate datasets into actionable insights. With expertise in Python, R, AWS, and NLP, I've spearheaded sentiment analysis projects and engineered predictive models, driving 40% efficiency gains. Bridging data science with software engineering, I'm your go-to for seamless solutions.

Proficient in Agile, Git, and Tableau, I've propelled audit transparency by 15%. Let's amplify your team's data prowess and elevate decision-making."

I am a highly skilled professional with a Master's degree in Data Science and a background in Software Engineering. My expertise lies in the field of data analysis and manipulation, particularly in Python, R, AWS, and Natural Language Processing (NLP). I have led successful projects in sentiment analysis and predictive modeling, which have resulted in significant efficiency improvements of up to 40%.

My unique ability to bridge the gap between data science and software engineering has allowed me to deliver seamless solutions that enhance decision-making. I am well-versed in Agile methodologies, Git for version control, and Tableau for data visualization, and my contributions have increased audit transparency by 15%.

I am eager to bring my skills and experience to your team, helping to amplify your data capabilities and drive better decision-making process

I hold a Master's degree in Data Science, which has equipped me with advanced knowledge and skills in the field of data analysis, statistical modeling, and machine learning. This education has provided a strong foundation for my work as a Data Scientist and Software Engineer, enabling me to effectively distill complex datasets into actionable insights. My educational background, combined with practical experience, has enabled me to excel in projects related to sentiment analysis, predictive modeling, and the development of data-driven solutions.