Saarvin Subramaniam

Motivated and skilled professional with a strong background in Petroleum Engineering and a Master's in Data Science, actively pursuing a challenging position in data analytics, data science, and engineering. Committed to utilizing my technical expertise and advanced analytical skills to drive business growth and improve decision-making processes.

Previously worked as process engineer in sugar refinery company. The job that has been accomplished are:

• Daily analysis and interpretation of melting trend and observation on Distributed Control System (DCS).
• Interpretation on plant process and cleaning of data collection using excel functions and VBA which reduce data collection time by 50%.

I found out that I am interested in the big data world and pursued my further studies in Master of Data Science. Projects accomplished during my Master studies are:

• Thesis: “Comparison Between Linguistic Model and Machine Learning Model in Fake News Detection”. Developed a website with the ability to accurately identify True or Fake News, leveraging a comprehensive dataset of 100,000 rows.
• Implemented a robust framework of semi-supervised learning to validate and enhance the accuracy of unsupervised learning models, resulting in a significant boost in label confidence up to an impressive accuracy of 95%.
• Conducted a thorough statistical analysis and interpretation of data for a Cardiovascular Disease Python Project, delivering comprehensive insights and findings with accuracy of 78%.
• Designed and developed a Power BI dashboard showcasing New York City property sales data, providing visual insights and analysis for effective data-driven decision-making.