707 Continental Circle, Apt 111

Mountain View, CA 94040

Sree Krishna Kumaraswamy

Email: skkumar@cs.cmu.edu

Education

Carnegie Mellon University, Pittsburgh

M.S. in Knowledge Discovery and Data Mining (GPA – 3.83) Masters Project: Fractal Dimension for Data Mining	Aug 2003
Information Retrieval, Databases and Data Structures, Graduate Algorithms, Machine Learning,

Indian Statistical Institute, Calcutta

Masters in Statistics (Specialization: Bio-statistics) Masters Project: Statistical Analysis of Shape Parameters for Vowel Recognition Bachelors in Statistics (Honors)	May 2001 May 1999
Survey Sampling, Design of Experiments, Regression Techniques, Time Series Analysis, Clinical Trials

Experience

PricewaterhouseCoopers, San Jose, CA 95113

Data Mining/Analytics Specialist (Dec 2003 – present)

· Summarize and analyze general ledger data for anomaly detection

Alcoa Technical Center, Alcoa Center, PA 15069

Data Mining Researcher (Jun – Aug 2002)

· Collected and assembled a database for manufacturing level data

· Analyzed data for specific problems in the manufacturing process and suggested possible solutions

Carnegie Mellon University

Fractal Dimension for Data Mining (Jan 2002 – Aug 2003, work with Christos Faloutsos)

· Proposed and showed correlation between fractal dimension and dimensionality reduction

· Derived a relation between performance of a vector quantizer and the fractal dimension

Document Classification in Partitioned Domains (Jan – May 2002, work with Tom Mitchell)

· Built models for classification of text/multimedia documents

· Proposed and used a general model to incorporate domain information for improved performance

Indian Statistical Institute

Vowel Sound Recognition Using Shape Parameters (Jan – May 2001)

· Proposed easy to extract shape parameters from the sound wave in lieu of formant frequencies

· Classified vowel sounds using these parameters and studied correlation to the formant frequencies

Traffic Data Analysis (Jan – May 1999)

· Designed sampling scheme for data collection and assembled them for further analysis

· Formulated problem and analyzed the data to study the effects of various factors on the traffic flow

· Used the result to suggest methods for improving the traffic flow patterns

Computing Skills

Programming Languages – C/C++, Pascal, FORTRAN, Perl, SQL

Operating Systems – Linux, Solaris, MS Windows

Data Mining Packages – Clementine, IBM Intelligent Miner, C4.5, SAS, S-Plus, R, Matlab, CART/MARS

Academic Honors

· Graduate Fellowship, CALD, Carnegie Mellon University (Aug 2001 – Aug 2003)

· Graduated with Honors from Indian Statistical Institute, India (May 2001)

· Teaching Assistant for Database Systems Design and Implementation.

Publications

Feature Reduction - WEKKEM: A Study in Fractal Dimension and Dimensionality Reduction (KDD-02)

- MaxFD: A Fast Indicator for Good Dimensionality Reduction (under review)

Vector Quantization - Fractal Dimension and Vector Quantization (KDD-03)

References will be provided on request