We are small group of people working in quant focussed analytics. Our group comprises myself (Profile follows) and my associates. My associates are dedicated, commited as they are also working with me for their advanced degrees like PhD. You can log on for further details about myself and our associates. S. Basavaraj Patil, PhD Contact No.: +91- 80- 22717577, +91- 9886404008 QUANTITATIVE RESEARCH ANALYST specialised in MACHINE LEARNING and DECISION ANALYTICS CAREER SUCCESSES & DISTINCTIONS Ü Designated as the Assistant Vice President and steering Quantitative Research / Equity Derivatives wing in the Global Banking Markets, HSBC (4 years and till now). - Built the team of quantitative analysts, hired, trained, mentored in quantitative research techniques and equity derivatives thus effectively started producing the research products from scratch - Started the Revenue earning quantitative research business process for European and Indian equities - Responsible for the development of various mathematically complex financial models (Matlab based Excel, VB Applications) for knowledge discovery from the databases, that are utilized in generating the trading ideas to make money and to calculate Risk involved Ü Earlier worked as a Technology Consultant () in Predictive Retail Analytics - Responsible for the Analytic Engine in Enterprise Product Architecture and Analytics Team - Analysing different technologies and designing, reviewing and freezing the technical architecture, Development of Proof-of-Concepts, High Level Design of a Product, Development of working models or prototypes, leading a division of Analytics and Prediction (3 people in model building and 5 people in implementation) - Modelling in Retail Domain Analytics: Sales forecasting, correlation, regression, causality analysis, stress testing, what if analysis of key performance indicators Ü Previously worked as Technical Architect () for Predictive Models - Responsible for the delivery of predictive models for virtual screening of drugs: similarity searching, drug likeliness, toxicity prediction, chemo-informatics models, data mining techniques, - Hired, trained, and mentored the team of predictive modelling group of 2 statistical modellers, 2 bio-informatics consultants and 5 C++ Programmers for implementation. - Applied technical expertise in all aspects of the software analysis, design and development (inclusive of coding) using Matlab, SAS, C, C++, Java, VB , OOA, OOD Ü Accomplished PhD Researcher/University Faculty / Chief Co-ordinator of sponsored projects - More than 6 years in Machine learning Algorithms, Built numerous Artificial Intelligence based applications for prediction, Used Pattern Recognition Models, Neural Networks, Genetic Algorithms, Fuzzy Systems and Hybrid Systems - Initiated, proposed, Central Government sponsored research projects and acted as Chief Co-ordinator for implementation Strategy, Leadership, Quantitative Financial Modelling Dec’05 – Till now Assistant Vice President (Team Leader) Quants/ Derivatives, GBM Research, HSBC, Bangalore Situation Global derivatives business among its top priorities of HSBC. Ensuring success, company hired me to establish derivatives and quantitative research team in India to provide necessary quantitative models, to develop related technology solutions and contribute insight on business strategies. Action Hired and built the team of quantitative analysts from scratch. Designed, developed, and implemented a complete portfolio optimization system based on proprietary algorithms, with capabilities for daily P&L computation and breakdown for heterogeneous portfolio of over-the-counter Derivatives/ Quants and for exposition of risk. Within the short span of time made the hired resources tough and responsible for delivery of other research models and thus products. Led successfully the projects on Short term stock price prediction tools (Monte Carlo simulation), Options Optimizer, Black-litterman optimization model, Volatility forecasting techniques, GARCH, EGARCH, TGARCH, etc. Impact & Analysis Established new businesses on European equities and Indian equities. Delivered number of working predictive models on stock price prediction, volatility, long/ short pair trade models and risk analytics. Addressed operational performance issues by reengineering business processes, formulating policies, and creating controls to mitigate future business risks related to knowledge management and employee attrition. Contributions Ü Benchmarking the design for Novel Structured Product (Options) ideas. Ü Playing a major role in providing documentation concepts-trading techniques and new innovative products. Ü Refurbishing the entire development of mathematically complex financial models which are useful in generating trading ideas. Ü Guided the team in London and Hong Kong in Predictive Analytics, Quantitative Techniques. Important Products/Projects Ü Products o Equity Options daily diary research product depicting the revenue earning trading ideas of attractive options o Long/Short Pair Trade research product recommending to go long one equity and short on another o Stock Screener based on price and earnings momentum Ü Projects o Development of Options Optimizer, from scratch to the deployment of Model on European stocks (Dow Jones stoxx 600). o Development of Options Portfolio Optimizers - inclusive Black - Litterman portfolio optimization technique (Matlab, VB Macros, & Excel). o Monte-Carlo Simulation based (Matlab Programming) Short term stock price forecasting technique using time-series techniques o Volatility Forecasting techniques, GARCH, EGARCH,TGARCH Models o Neural Network based time series forecasting techniques Consulting in Predictive Analytics Apr’05 - Dec’05 Manthan Systems, Bangalore Technology Consultant - Predictive Analytics Contributions Ü Advising Directors of different products and CEO on Predictive Analytics. Ü Designing the Analytics Modules of products under development. Ü Leading 3 modellers and 5 software developers to implement the Analytics Modules in C++, J2EE. Attainments Ü Instrumental in developing various Consumer Analytic Modules in Retail space (e.g, RFM). Ü Designed and implemented: o Correlation Module in the Enterprise Performance Management Product (EPM Product: Astra), o Causality Analytics Module (Regression based) for Key Performance Indicators o Neural Network based Sales Forecasting Modules Oct’03 - Apr’05 Technical Architect Aris Global India Ltd., Bangalore Contributions Ü Responsible for developing the architectures of predictive models for various aspects of ADMET a drug discovery pharma virtual screening product Ü Demonstrating presentations of innovative product ideas, concepts and architectures to the on-shore sales people and consultants. Ü Leading 2 modellers, 2 bio-informatics consultants and 5 software developers the development of products. Attainments Ü Designed and produced the working model for the Similarity Search Software Product which searches similarities in the large database of characteristics of chemical compounds. o Deployed Statistical K means clustering algorithms and Khonen Neural Network based self organizing maps Ü Project implemented: Back propogation Neural Network based Toxicity prediction model for input drug molecules Ü Presented model for the prediction of drug-likeliness of the input chemical molecular characteristics Ü Application of Machine learning algorithms in Matlab environment, next directing the coding team to code in C++. Jan’99 - Oct’03 University PhD, Research Faculty, Software Research Projects Research Project Title: “Neural Network based Techniques for Document Image Processing: A New Approach” Designed, built, tested and published innovative systems in various National, International and Refereed journals. (Presented here in Reverse Chronological order & each one of them took approximately six months duration) Along with Research Supervisor, Dr. N. V. Subba Reddy, Prof & Chairman, Department of Computer Science & Engineering, MIT, Manipal, Karnataka. Projects Ü English and Kannada bilinugual OCR System: The aim was to develop the working model of English and Kannada bilingual Optical character Recognition system. The idea is conceptualized and implemented in Matlab environment with relevant toolboxes, like statistics, neural networks, image processing. It is the part of the published research thesis. Ü Kannada language character Recognition: The most challenging and complex task of recognition of Kannada characters is achieved with template matching techniques (statistical similarities matching). The work was first of its kind and had major research impact Ü Multi-script, multi-lingual document processing model: The work presents the series of techniques to process the multi-script, multi-lingual documents which are typical to Indian Society. Implementation of statistical and various neural network recognition models. Ü Hybrid Models for Script Identification Systems: The models intended to identify the script based on extracted features from multi-script documents. It includes implementation neural network based pattern recognition techniques and genetic algorithm engines. The work made significant impact on the pattern recognition field. Ü Individual word script identification System: The work involved the identification of script/language of an individual word in the scanned document. System had different modules including pre-processor, feature extractor. Ü Document image script identification system: The major work involved is neural network based script recognition technique of document images based on the extracted features. Ü Hybrid feature extraction system: The technique is extraction of features from the document image. These features are used to represent the documents to Neural Network Recognizers. Mar’97 - Dec’98 Chief Co-ordinator Project Title: Development of Research Lab- (Management Expertise) at Univ. B.D.T. College of Engineering, Kuvempu University, Central Government Agency (AICTE) Sponsored Project Role Description: Management of Funds, Almost all the activities starting from planning (using PERT/ CPM Tools) the project for two years and executing it. Calling for quotations, negotiations with vendors, testing and certifying the equipment, etc. Project Description: The project involved learning about the PC-Process Control equipments and techniques, like Pressure Control, Flow control, Level and Temperature Control. Conducted project study on sensors for different parameters like pressure, flow, level and temperature. The various techniques, like Proportional Control, Proportional Integral, Proportional Derivative and Proportional, Integral, Derivative (PID) Control are implemented. ACADEMIC Ü Ph.D. Degree in Computer Science & Engineering from Kuvempu University in 2003. o Thesis Title: “Neural Network based techniques for Document Image Processing: A New Approach”. o The thesis contains numerous Neural Network based and several Hybrid Pattern Recognition Systems. Ü Degree in Bio-Medical Instrumentation, First Class with Distinction (2nd Rank), from of Engineering, Mysore, University of Mysore, Karnataka, India in 1995. Ü B.E. Degree in Electronics & Communication Engineering (1st Class) from Government of Engineering, Davangere, University of Mysore in 1993. INVITED TALKS: INTERNATIONAL CONFERENCES Ü “Soft Computing Techniques”, at International Conference on Software Agents held on September 5-6, at Davangere, Bapuji Institute Engineering Technology, Davangere, Karnataka. RESEARCH PUBLICATIONS In the year 2004 Ü “Neural Network based Image Segmentation System”, National Conference Proceedings on “Control Communications and Information Systems”, Goa,, Vol.2, pp.131-134 January 23-24, 2004 . Ü “Probabilistic Neural Network based Finger Print Identification System”, International Conference on Systemics, Cybernetics and Informatics, at Hyderabad, February 12-15, 2004. In the year 2003 Ü \"Neural network based script identification systems for Indian documents\", under Young Scientists Award Program, at 60th Indian Science Congress held on Jan 3-7, 2003, at Bangalore, India. In the year 2002 Ü \"Neural Network based system for script Identification in Indian Documents \", Special Issue on Indian Language document Analysis and Understanding of \'SADHANA\' International journal, Indian Academy of Sciences, India, , Part-1,February 2002, to 97. Reprint is available at Sadhana site ; ~academy/sadhana Ü \"Kannada character recognition\", National conference on Mathematical and computational Models, Coimbatore, Dec.27-28, 2002, India. Ü \"Automatic script identification system for Indian documents\", National Conference on Advanced Computing NCAC-2002, Coimbatore, February 1-2, 2002, India. In the year 2001 Ü \"Character script class Identification system using Probabilistic neural network for multi-script, multi-lingual document processing\", National Conference on Document Analysis & Recognition, July 13-14, 2001 Mandya, India. Ü \"Fuzzy based multi-script, multi-lingual document processing model\", in the Joint 9th IFSA World Congress and 20th NAFIPS International Fuzziness and Soft Computing in the New Millennium Conference, July 25-28, 2001, Vancouver, Canada. (Accepted) Ü \"Neural Network based multi-script, multi-lingual, document processing: An experiment with Indian documents\", in the International Joint Conference on Neural Networks, IJCNN, July 10-20, 2001, Washington D.C, U.S.A. In the year 2000 Ü \"Document Image Pre-processing Techniques for Neural Network based Recognizers\" International Conference on Remote Sensing and GIS/GPS, December 1-4, 2000, Hyderabad, INDIA Vol.1, page to 457. Ü \"Automatic Script Identification System using Neural Networks: A new Approach\" in the New Millennium Conference on Pattern Recognition, Image Processing and Robot Vision(PRIPROV) 14-15, May 2000 at ATATI, Malaysia, Page no.7 to 12. In the year 1999 Ü \"Improved Segmentation Techniques for Neural Network based Feature Extraction and Recognition\", at National Conference on \"Fuzzy logic and Neural Networks\" in Electrical Engineering, September 24-25, 1999, REC, Warangal, A.P. Ü \"Segmentation Technique for Document Processing\", International Conference on Cognitive Systems, December, 15-17, 1999, New Delhi. In the year 1997 Ü \"Computer based system for the improved method for the distortion analysis of Concentric Needle Electrode\", National Conference on \" Impact of electronics on Automation: The Indian Scenario\", University of Roorkee, Roorkee, during jan.20-21, 1997. WORKSHOPS / TRAINING ATTENDED Ü 5 day Residential course on “Foundation of Management Skills”, experiential learning at HSBC, 2008 Nov Ü Attended several workshops on Bloomberg, Thompson datastream, Factsets data sources Ü The short term course on \"Software Engineering and E-Commerce\", Organized by Infosys during 27-29th December, 2000 at Indian Institute of Science, Bangalore. Ü The two weeks short term training program on \"Neural Networks applied to Pattern Recognition\" from 29th May 2000 to 10th June at I.R.T.T. Institution at ERODE, Tamilnadu, India. Ü The two weeks short term course on \"Object oriented and Visual Programming-C++, Java, Visual Basic, visual C++\" during 17th -29th January 2000 at NMAM Institute of Technology, NITTE, Karnataka, India. Ü The two weeks course on \"Advanced Neural Computing\" during 29th July to 7th August 1999 at S. J. College of Engineering, Mysore, and Karnataka, India. Ü The a week program on \"Application of MATLAB for Engineering Education\" during 15-19 February,1999, at Indian Institute of Science, Bangalore, India. Ü The two weeks short term course on \"Computers in Bio-medical Engineering\" during 21-04-97 to 03-05-97, at P. E. S. College of Engineering, Mandya, Karnataka, India. Ü The two weeks short term program on, \"Embedded Controllers and Applications\" during 2nd April to 15th April 1997, at Indian Institute of Science, Bangalore, India. Ü Course on \"Product design\" 14-18 December, 1998 organized by C.E.D.T., Indian Institute of Science, Bangalore. Ü Participated in 4-day Induction Training Programme organized by Kuvempu University during September 12-15,1997at Davangere, Karnataka, India. Date of Birth: 25/03/1970 Address: 142, RLF Residency Phase III, Behind IMG Elite, 7th Block, JP Nagar 9
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US English Level 1
- Visual Basic
- Matlab & Mathematica
- Scientific Research
- Financial Research
- C# Programming
- Financial Markets
- Pattern Matching
- Big Data
- Map Reduce
- R Programming Language
Predictive ModelerNov 2011
Completed over 2500 hours on another freelancing site www.odesk.com. The work involved very intensive data modeling and predictive analytics. The work is completely focussed on knowledge extraction from the click-through data collected from web.
Assistant Vice PresidentDec 2005 - Feb 2010 (4 years)
Led the Quantitative Team, Responsible for development and delivery of Quantitative Models which generate trading strategies. Worked on Equity Research Strategies, Futures and Options.
Ph.D. (Computer Science & Engineering)1998 - 2003 (5 years)
M.Tech (Bio-Medical Instrumentation Technology)1993 - 1995 (2 years)
B.E.(Electronics & Communication Engg)1988 - 1992 (4 years)
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US English QualifiedPass the US English Exam (Level 1)
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The PerfectionistEdited a bid.
US English QualifiedPass the US English Exam (Level 1)
The VerifiedVerify your payment method