Ph.D. in EE (Nonlinear Statistical Signal Processing) and Post-Doctoral Research in Robust Outlier-Resistant Communication Systems, Master's in EE (Advanced Statistics, Communication & Control Systems, Signal Processing & Optimization), 20 years applied research & algorithm development experience in statistical signal processing & machine learning, wireless & wired communication systems, fraud detection, high-frequency trading, and mobile ad targeting & optimization. Specialities: Quantitative analysis, data science, statistics & probability, machine learning, AI, linear algebra, optimization, decision trees, genetic algorithms, A/B testing, multivariate linear regression, logistic regression, neural networks, support vector machines, clustering, principal component analysis (PCA), anomaly detection, recommender systems, information theory, robust & adaptive signal processing, stochastic gradient descent algorithms, nonlinear filters. Programming: MATLAB, Octave, C, C++, Java, SQL, Excel, R, Python, Unix, Windows.

Principal Data Scientist @ Applying statistical and machine learning techniques to problems in mobile advertising and healthcare. From 2014 to Present (1 year) San Francisco Bay AreaData Scientist (Consultant) @ Solving targeting and optimization problems in the mobile advertising space using statistical analysis, A/B testing, machine learning etc. From 2013 to 2014 (1 year) San Francisco Bay AreaSenior Quantitative Analyst / Manager - Risk Decision Systems @ Quantitative / statistical analysis to evaluate benefits & impact of risk decisions, and development of predictive models with SQL & MATLAB for components of next-generation fraud detection systems. From 2012 to 2013 (1 year) San Francisco Bay AreaSenior Quantitative Analyst / Research Scientist - High-Frequency Trading @ Quantitative Analysis & Development of Trading Models: Statistical & machine-learning algorithms in Java & MATLAB for optimized buy/sell signals & trading strategies in US & India markets; real-time trading on Bombay Stock Exchange (BSE); feature-set optimization; Java implementation of robust nonlinear filtering of stock tick data to extract outlier-resistant features. From 2010 to 2012 (2 years) San Francisco Bay AreaConsultant / Senior Quantitative Analyst - Risk Detection @ Transaction Loss Analytics & Data-Driven Fraud-Detection: Loss Analysis (identification of loss trends, development of actionable insights and recommendations to management); Data-Driven Rules & Mini-Models (development of loss-monitoring tools and alert indicators identifying dominant risk behaviors, and optimized design of behavior-specific fraud-detection rules using decision-trees and other statistical & machine-learning techniques). From 2009 to 2010 (1 year) San Francisco Bay AreaPrincipal Member of Technical Staff @ VDSL2 Modem System Analysis & Architectural Development: MIMO crosstalk estimation & cancellation (MATLAB model, algorithms, patent); next generation CO/CPE system specification (end-to-end MATLAB system model, performance predictions, analog & digital architectural recommendations); laboratory characterization of analog chip (noise-floor, non-linearity etc); laboratory optimization of modem (calibration for transmit PSD, loop-length estimation, rate-reach performance etc). Patents Filed: "Method and apparatus for crosstalk estimation", (patent application US20080285740). From 2007 to 2009 (2 years) San Francisco Bay AreaSenior Communication Systems Engineer @ Communication Systems Design & Analysis, Channel Modeling, Algorithm Development, Fixed-Point Design, FPGA Prototypes, Advanced Receiver Architectures and Technical Standards-Related Studies, in the areas of VDSL / EFM, WPAN, MIMO-OFDM WiFi, WiMax & 3GPP/LTE. Patents Issued: (1) “Pre-corrupting reference signals with inter-symbol interference,” US patent 7230976. (2) “Interference rejection in wireless networks,” US patent 7684529. (3) “OFDM receiver and method for decoding OFDM symbols of two or more data streams with reduced multiplication operations,” US patent 7881391. (4) “Multicarrier receiver for multiple-input multiple-output wireless communications systems and method,” US patent 7852951. From 2001 to 2007 (6 years) Senior Systems Design Engineer @ Systems Design, Algorithm Development & Implementation, and Standards Studies for HDSL2/G.SHDSL transceivers. From 1999 to 2001 (2 years) Postdoctoral Researcher @ Communications Receivers under Impulsive Non-Gaussian Noise. From 1998 to 1999 (1 year) Summer Intern @ Video & Image Technologies Department: development of nonlinear noise-reduction filters in C to preprocess MPEG video for compression. From June 1994 to August 1994 (3 months)

Ph. D., Electrical Engineering @ University of Delaware From 1992 to 1998 M.S.E., Electrical Engineering @ Princeton University From 1989 to 1991 Certificate of Accomplishment, Machine Learning, Grade 99.0% @ Coursera / Stanford From 2013 to 2013 Programming and White Box Testing in Java @ Santa Clara Adult Education From 2013 to 2014 Certificate of Accomplishment, Artificial Intelligence - Advanced Track, Grade 94.6% @ Stanford Online AI-Class First Edition Fall 2011 From 2011 to 2011 B.Tech., Electronics & Communications Engineering @ Indian Institute of Technology, Madras From 1985 to 1989 Sudhakar Kalluri is skilled in: Algorithms, Matlab, Machine Learning, Signal Processing, Optimization, Statistics, Unix, Python, Java, Simulations, Mathematical Modeling, Statistical Modeling, SQL, Modeling, Data Modeling