Developing statistics and key metrics to facilitate fraud analytics and risk mitigation for audit clients of the TMT (technology, media and telecom) industry using techniques of advanced analytics, data visualization, data mining and pattern matching. To Digitalise the risk assessment and audit of financial statements of Fortune – 500 companies using SAS, SQL, TABLEAU AND TRIFACTA, thereby increasing the scope by ~100% and reducing the manual effort by ~50%. esponsible for execution of journal entry testing to identify anomalies in support of the financial reporting and the associated risk of management override, along with that experienced in handling creating and executing data wrangling in Trifacta to explore, clean and prepare structured and unstructured big data for our analysis and reporting. Building and processing custom analytics scripts to clean, join and transform multiple complex datasets by preforming revenue, operating expense, payroll, sales, cycle based testing, Je testing aimed at identifying transactional patterns and mitigate emerging risks using technologies like SAS, SQL, PYTHON, TRIFACTA, TABLEAU.