A competent data scientist proficient in Python, R, SQL and tableau with extensive experience in using multivariate timeseries data for statistical analysis, anomaly detection using ML & Deep Learning methods, building ETL pipelines for moving data from various sources and creating visualizations and dashboards to transform data into actionable insights. Utilizing data science & artificial intelligence to enable customers to streamline their grain monitoring strategies and minimize grain spoilage worth millions of dollars. Associated with the data science team of Silicon Valley technology start-up for last 5 years and involved in the data mining as well as the design, validation and implementation of algorithms that translate customer’s grain management needs and requirements into real life business solutions. Also have prior 8 years treasury/finance experience at a large international bank managing (forex, money market & liquidity).
Listed skills include Fx, Financial Markets, Currency, Swaps, and 44 others.