I am an experienced data scientist having worked with many types and qualities of data. As a neuroscientist I worked on data obtained from sensors used to record neural activity from humans and insects. As a data scientist in the business world I have worked with data from large automotive, telecommunication and other industries. In my current role I bring data science to the world of entertainment and use quantitative methods to bring structure to the problem of predicting the success of content on Netflix. My list of buzz words include: big data analytics, machine learning, artificial intelligence, software and hardware development, computer vision, signal processing, attention modeling, user behavior quantification and brain machine interfaces.

Senior Data Scientist @ Summary: Hollywood + Science. - Focus on content science and algorithms. - Understanding, quantifying and statistical modeling of user consumption of content. - Predicting demand of content on the service. - Optimizing the content library to maximize customer satisfaction, retention and acquisition. - All the above is done using a whole suite of techniques and technologies including: R, Python, SQL, Presto, Hive, Pig, Spark, machine learning with a focus on regression, clustering and optimization approaches among others. From February 2015 to Present (11 months) Analytics Lead (Data Scientist) @ -Designing, developing and deploying complete analytical solutions and predictive models for various client projects. (Python, R) -Applying the latest machine learning methodology to solve big data problems and increase revenue for clients. -Participating in kaggle and other data science competitions. -Conducting basic research on neuroscience inspired machine learning approaches. -Managing small teams of junior analysts located across the globe at Opera's international offices. From January 2014 to February 2015 (1 year 2 months) Greater San Diego AreaResearch Assistant - Sarah Bottjer lab @ -Developed automated methods to discover multi-dimensional receptive fields in higher auditory cortex of songbirds. From May 2013 to January 2014 (9 months) R&D software engineer @ Developed scanning software for the prototype of AIO’s flagship product, the world’s first all in one robotic 3D scanner and printer. From May 2013 to October 2013 (6 months) Greater Los Angeles AreaResearch Assistant at ilab @ -Developing new paradigms to experimentally test various computational theories of visual attention. -Developing hybrid insect robotics platforms. From August 2006 to August 2013 (7 years 1 month) Consultant @ -Helped develop a marketing strategy for client to boost number of users by increasing visibility and optimizing user experience of client website. -Developed automated tools using Python to organize client's offerings on the website to enable better search for customers. From April 2013 to July 2013 (4 months) Greater Los Angeles AreaEngineering Intern @ Neuromorphic engineering From May 2012 to July 2012 (3 months) Greater San Diego AreaResearch Assistant --Biomedical Imaging lab @ From May 2005 to August 2006 (1 year 4 months)

Phd, Neuroscience @ University of Southern California From 2006 to 2013 Diploma in Innovation, Engineering Technology, General @ University of Southern California From 2012 to 2013 MS, Computer Science @ University of Houston From 2004 to 2006 BS, Computer Science with Distinction @ Western Sydney University From 1999 to 2003 University of Mauritius Farhan Baluch is skilled in: Machine Learning, Signal Processing, Matlab, Computer Vision, Image Processing, Neuroscience, Artificial Intelligence, Python, Mathematical Modeling, Statistics, Experimentation, C++, Science, Computer Science, Data Mining