Ganga Singh

As a results-oriented Data Scientist, specializing in utilizing advanced analytics to enhance decision-making and improve operational efficiency. With extensive experience in Python, R, and SQL, Proficient in leveraging big data tools and machine learning algorithms to solve complex problems and deliver actionable insights. Eager to apply skills in data manipulation and predictive analytics to drive innovation and achieve business goals. Strong leadership and collaboration abilities enables to effectively communicate data-driven strategies across multidisciplinary teams.

Text Sentiment Analysis of Netflix Movies dataset from accross the globe. Tokenizing the descriptions into ngrams and using Tf_idf ratio to find cases of best business value along using lexicons for the sentiment analysis comparing hollywood, bollywood and brazilian movies.

Credit Risk Profiling, Developed a credit risk analysis model for bank's credit card division to identify high-risk and low-risk customer profiles., Model that predicts delinquency rates with an accuracy of 96%, improving the bank's ability to identify high-risk and low-risk credit card applicants based on Past delinquencies/defaults, Debt-to-income Ratio, Credit history length etc. 

Predictive modeling for oil and gas well production, Data analysis and machine learning project to forecast future production of oil and gas wells, enabling informed trading decisions for production rights., Developed a decision support system for oil and gas well trading, improving data-driven decision-making in the trading process. Utilized exploratory data analysis, regression, neural networks, sensitivity analysis, and integrating it to forecast production, revenue, risk, and optimize well management.