Ravi K. Siddani
5003 Westland Blvd, Apt H, Baltimore, MD, 21227 · (443) 388-6399 (C) · ravi.siddani@yahoo.com
OBJECTIVE
To apply acquired statistical knowledge in development of mining algorithms for highly dependent data sets
SUMMARY
Strong foundation in Theoretical Statistics and Data Analysis techniques
Extensive use of SAS, S-PLUS, R, MATLAB
Proficient programmer in C and MPI (Parallel Computing)
Working knowledge of Microsoft Office, LaTeX and HTML
Good oral and written communication skills
EDUCATION
Ph.D., Statistics
University of Maryland, Baltimore County
Title: ‘Spatio-Temporal Modeling of Rain Rates’
August 2007
M.S., Statistics
University of Maryland, Baltimore County
May 2003
Master of Statistics
Indian Statistical Institute, Kolkata
First Division, Specialization: Applied Statistics and Data Analysis
June 2000
Bachelor of Statistics (Honors)
Indian Statistical Institute, Kolkata
First Division
June 1998
IMPORTANT COURSES
Time Series Analysis, Spatial Statistics and Image Analysis, Environmental Statistics, Generalized Linear Models,
Statistical Computing, Parallel Computing, Nonparametric Statistics, Bayesian Statistics, Information Theory
WORK EXPERIENCE
Graduate Research Assistant
August 2004 – Present
Joint Center for Earth Systems Technology, University of Maryland, Baltimore County & NASA – GSFC
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Constructing meteorological models for rain rates in both space and time domains
Developing statistical tests for comparison of multiple time series
Preparing, testing and executing software applications in C for processing and analysis of rainfall data sets
Graduate Teaching Assistant
August 2001 – July 2004
Department of Mathematics and Statistics, University of Maryland, Baltimore County
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Fulfilled teaching assistant duties for undergraduate statistics courses with emphasis on Social Sciences,
Biological Sciences, Business and Economics, and Engineering Sciences
Conducted discussion sessions to help solve problems and answer students’ questions
Consultant
PricewaterhouseCoopers Software (P) Ltd, Kolkata, West Bengal, India
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July 2000 – June 2001
Member of testing phase of Data Warehouse Implementation for Tata Infomedia
Integrated seamlessly into group and understood database design and concepts
Developed expertise in SAS through workshops and self study
Explored SAS Enterprise Miner and compared with other data mining tools
PROJECTS
Preliminary Analysis of Protein Gel Data (2003)
University of Maryland, Baltimore County
Client: Dr. Brian P. Bradley, Professor, Dept of Biological Sciences, UMBC
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Conducted meetings with client to understand nature and define scope of problem
Implemented cluster analysis and correspondence analysis in R to differentiate between expressions
Tata Infomedia: A Data Warehouse Implementation (2001)
PricewaterhouseCoopers Software (P) Ltd, Kolkata, India
Client: Infomedia India Pvt. Ltd (formerly Tata Infomedia)
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Conducted meetings with client to understand logical as well as syntactical errors during data entry
Prepared various test data sets to ensure functionality of all possible error trapping codes
Analysis of Serious Injuries in Indian Coal Mines (2000)
Master’s Project, Indian Statistical Institute, Kolkata
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Collected serious injury data from registers at head office of eastern sector of Coal India Ltd.
Investigated differences in serious injury rates across various variables using S-PLUS and SPSS
TRAINING
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Interdisciplinary Consulting, Dept. of Math. and Stat., University of Maryland, Baltimore County
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Graduate Student Seminar, Dept. of Math. and Stat., University of Maryland, Baltimore County
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Delivered several 15-minute presentations on statistical topics
Improved presentation techniques during course of graduate studies
Employment Training, PricewaterhouseCoopers Software (P) Ltd, Kolkata, West Bengal, India
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Acquired expertise in effective communications with clients
Maintained journal of client meetings and progress of project
Received training in SQL, Pro*C, Java and C++
Implemented a data warehouse for car inventory as part of a group of 4 colleagues
National and International Statistical Systems, Indian Statistical Institute, Kolkata, West Bengal, India
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Summer Workshop, Central Statistical Organization, Govt. of India, New Delhi, India
Acquired knowledge on several data collection methods during field trips to Govt. Organizations
JOURNAL PUBLICATIONS
Kundu, P. K. and Siddani, R. (2007), A New Class of Probability Distributions for Describing the Spatial
Statistics of Area-averaged Rainfall, Journal of Geophysical Research-Atmospheres, in press.
POSTERS AND PRESENTATIONS
A Test of Equality of Spectra of Short Memory Independent Gaussian Time Series (2007), Joint Statistical
Meetings, Salt Lake City, UT.
A New Class of Probability Distributions for Describing the Spatial Statistics of Area-Averaged Rainfall
(2007), UMBC Probability and Statistics Day, Baltimore, MD, adjudged second in poster session.
Spatio-Temporal Modeling of Rain Rates (2007), Statistics Colloquium, UMBC, Baltimore, MD.
REFERENCES
Available upon request