Experienced "data polymath", adept at spanning the technological landscape and synthesizing large amounts of information into strategically useful tactics.
Curious about what makes the world work, I welcome ambiguity and steep learning curves, and focus on a deep understanding of my domain to create value through data.
I am equally comfortable with communicating specifications to engineering teams and explaining algorithmic models to executives. My breadth of experience in technical tools and aptitude to learn new technologies drives a passion to solving challenging problems.
Relevant Experience
MPP: Teradata
Relational: SQL Server, MySQL, Oracle
Distributed Storage: Hadoop, S3, EMR
Querying/Data Flow: SQL, HiveQL, Pig
Viz: Tableau, Microstrategy
Scripting/Programming: Python, R, Javascript, Shell, Perl
Statistics/Machine Learning: Regression, Classification, Trees, Ensemble Methods, Boosting, Clustering, SVM
Senior Business Intelligence Engineer, Data Science & Engineering @ My team focusses on Content Analytics at Netflix. We strive to solve the following challenges -
1. Use Netflix's viewing data to value our content so that it can be measured against demand, engagement, acquisition and retention.
2. Acquire external open data sources to boost demand prediction and content valuation.
3. Help Netlfix lead innovation on the supply chain in the entertainment industry. Our goal is to optimize for efficiency, cost-effectiveness and digital quality as the ingest process scales in volume and complexity.
4. Develop and provide a suite of analytical tools that enable insight into performance of content on our site and, process flow in the digital supply chain. From May 2013 to Present (2 years 8 months) Manager Forensic Technology @ Led a team of analysts and forensic practitioners on a complex balance sheet carve out for a Fortune 11 global technology. The team was responsible for deconstructing and analyzing complex historical balance sheets in order to prepare for an acquisition. From September 2012 to May 2013 (9 months) Greater Los Angeles AreaManager Analytics @ Led teams of data analysts on various class action law suits, financial investigations, internal fraud and dispute litigation cases for different Fortune 50 companies in the financial services, technology and media and entertainment sectors. From January 2011 to August 2012 (1 year 8 months) Greater Los Angeles AreaManager - Analytics and Forensic Technology @ Led a team of data analysts that were responsible for piecing together and analyzing system and IP trafiic logs on various network intrusion and malware analysis cases.
Coordinated a team that was responsible for the quality control testing of Deloitte’s proprietary fraud detection software tools (DTECT and FCPA Analytics).
Participated in a data warehousing and reporting team at the Deloitte Electronic Discovery Solutions Center. The team was responsible for implementing a solution that pulled metadata from the various software systems deployed during the e-discovery lifecycle and provided statistical information relating to the progress of each project.
Assisted on various contract compliance audits of third party retailers and distributors made on behalf of major motion picture studios.
Assisted on an expert witness testimony in a business dispute between a large storage manufacturer and its global distributor. Sales and inventory data from 14 different systems was combined and analyzed for distributor claims activity and pricing and sales volume irregularities. From October 2004 to January 2011 (6 years 4 months) Greater Los Angeles AreaProgrammer Analyst @ From January 2003 to October 2004 (1 year 10 months) Greater Los Angeles AreaOperations Analyst @ From March 2002 to December 2002 (10 months) Greater Los Angeles Area
Professional Certificate, Data Mining and Applications @ Stanford University From 2011 to 2012 Master's degree, Computer Science @ University of Southern California From 2000 to 2001 Bachelor of Engineering, Computer Engineering @ Bombay University From 1994 to 2000 Nishant Hegde is skilled in: Data Analysis, Business Intelligence, Machine Learning, Data Visualization