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Deepthi Cheboli
1000 8th St SE, Apt 111
Minneapolis, MN 55414
864-593-6856
[email protected]
http://www.cs.umn.edu/∼cheboli
Objective
To secure a challenging full time position to apply and advance my software design and development skills.
Education
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University of Minnesota, Twin Cities
Sep ’08 - May ’10 (expected)
Master of Science in Computer Science
3.84/4.0
Relevant Courses: Machine Learning, Data Mining for Bio-informatics, Architecture and Implementation of
Database Management Systems, Statistical Analysis, Advanced Algorithms and Data Structures
Indian Institute of Technology Madras, Chennai, India
Aug ’04 - July ’08
Bachelor of Technology in Computer Science & Engineering
8.3/10.0
Relevant Courses: Data Mining, Pattern Recognition, Artificial Intelligence, Basic Graph Theory, Linear Algebra,
Computer Networks, Operating Systems
Work Experience
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Medtronic Inc.
Minneapolis, MN
Intern in Data Strategy
May - August ’09
– Designed and implemented a novel data mining tool for change detection in the time series of the cardiac
behavior of patients.
– Defined vocabulary to characterize the patients and used document clustering approaches to create groups of
similar patients.
Fair Isaac R&D
Research Analytic Intern
– Worked on improving of K-Means clustering for large datasets.
– Designed and implemented an efficient solution using bootstrapping, sampling.
Bangalore, India
May - July ’07
Department of Computer Science and Engineering, University of Minnesota
Minneapolis, MN
Graduate Research Assistant
Sep ’08 - current
– Involved in development and analysis of anomaly detection algorithms to detect faulty and abnormal conditions
in flight sequence data.
– Conducted an extensive experimental evaluation of several anomaly detection techniques for time series data.
Publications
• Cheboli, D. and Ravindran, B. “Detection of Keratoconus by Semi Supervised Learning”. In the ICML/UAI
Workshop on Machine Learning in Health care Applications, 2008.
• Varun Chandola, Deepthi Cheboli and Vipin Kumar. “Detecting Anomalies in Time Series Databases”. CS Technical
Report 09-004, 2009, University of Minnesota.
Programming Skills
Languages: C/C++, Java
Utilities and Tools: Matlab, Bash, Perl
Operating Systems: Linux, Windows
Projects
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Finding Differentially Co-expressed patterns in Cancer Data
Data Mining for Bio-informatics, University of Minnesota
Sep - Dec ’08
– Designed and implemented an efficient algorithm to mine biologically significant patterns, which differentially
co-express, in publicly available cancer data sets.
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Detection of Keratoconus by Semi-Supervised Learning
B.Tech Project, Indian Institute of Technology, Madras
Oct ’07 - May ’08
– Designed and implemented a system which recognizes patients prone to Keratoconus, an eye-disease, with high
accuracies of around 95%.
– Used Semi-Supervised learning and Manifold learning techniques to recognize disease patterns by mapping data
to a low dimensional space.
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Mining graphs for frequently occurring patterns
Indian Institute of Information Technology, Hyderabad, India
May - Jul ’06
– Implemented a spanning tree based algorithm (SPIN) for mining maximal frequent subgraph patterns in
collections of graphs.
– Handled graph theoretic issues like Isomorphism and Canonical Spanning trees using clever data structures.
Game Playing Agent for Othello
Artificial Intelligence, Indian Institute of Technology Madras
– Designed and built a game playing agent for the board game Othello.
– Agent was placed second in intra-class competitions.
Paging for the GeekOS kernel
Operating Systems, Indian Institute of Technology Madras
– Added paging support to GeekOS - a minimal operating system kernel for x86 PCs.
– Wrote page fault interrupt handler and a pseudo-LRU algorithm for page replacement.
Pascal to C compiler
Compiler Design, Indian Institute of Technology Madras
– Designed and implemented a compiler for a subset of Pascal.
Aug - Nov ’07
Aug - Nov ’06
Aug - Nov ’06
Academic Honors
• Secured an All India Rank of 199 among an estimated 200,000 candidates in the Joint Entrance Examination
conducted by the Indian Institute of Technologies (IITs).
• Awarded scholarship to attend the Grace Hopper conference 2009 sponsored by Google.
• Attended the Grad Cohort 2009 sponsored by CRAW for Women in Computing.
• Received “Pratibha” Award from the state govt. of Andhra Pradesh for the academic excellence shown in IIT - Joint
Entrance Examination.
• Awarded merit certificate from IIT Madras for being among the top 40 freshmen in 2004.