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Sr Developer & Analyst

Location:
Seattle, WA
Salary:
$18-21 per hour
Posted:
December 18, 2010

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Resume:

SRAVYA TAMMA

**** **** **** ****, **.Louis, MO-**108, Phone - 575-***-****, E-mail: ********@*******.***

Objective: Seeking a full-time position in the field of Bio-informatics, where I can utilize my skills and be a positive contributor for the growth of the organization.

Education:

Master of Science in Bioinformatics, University of Texas El Paso, TX, USA GPA: 3.7 / 4.0

Bachelor of Science in Biotechnology, JNTU, India GPA: 3.9 / 4.0

Publications:

• Dangeruta Kersulyte, Sravya Tamma, Douglas E. Berg, Helicobacter pylori from Peruvian Amerindians: Traces of Human Migrations in Strains from Remote Amazon, and Genome Sequence of an Amerind Strain, PLoS One, October 2010.

Poster Presentations:

• Analysis of Peruvian Helicobacter pylori (Hp) Genomes: Automated Segmental Blast [ASB] Scanning for recombination between Amerindian and European Hp lineages,

• A Permutation Based Evolutionary Algorithm for RNA Secondary Structure Prediction.

Summary of Qualifications:

• Three years of advanced experience in Bio-informatics field as a programmer analyst.

• Experienced in working with multiple projects using Perl, Java and C languages.

• Strong knowledge gained in Bash scripting, Database design using Mysql and working with standalone software’s.

• Self starter, multi- tasking, report writing and good communication skills.

Work Experience:

Bioinformatics Programmer, Center for Genome Sciences and Systems Biology, Wash Univ Med School, St Louis, MO May 2010 – Present

• Developed an efficient pipeline to find genome wide methylated and unmethylated sites in both brain cancer and unaffected individuals.

Technical Environment: Perl, Linux, CGS cluster, Next-Gene Sequencing data, Bowtie Aligner, My Sql, UCSC Genome Browser.

• Responsible for developing an automated segmental blast and tree building algorithm for scanning whole genome to find out the recombination patterns within Amerindian and European Helicobacter pylori populations.

Technical Environment: Perl, Database Design, R, Linux, Java, Phylip, ClustalW.

Research Assistant, RNA Virtual Laboratory, UTEP, El Paso Jan 2009 – April 2010

• Developed an efficient permutation based genetic algorithm which converges quickly in predicting all the possible inversions obtained from palindrome program (from EMBOSS software) which finally contribute to the secondary structure of RNA. Compared the predicted structure to that of R-fam Structures which were experimentally verified.

Technical Environment: Java, Linux, Eclipse, EMBOSS, Rfam, Mfold

Work accomplishments:

• Successfully published a paper on the work done during internship

• Delivered superior results beyond expectations

• Selected as best outstanding student for academic excellence and received “Kalpana Chawla Award”

• Awarded for 2009 best Teaching Assistant for assisting the students in data structures.

Project Experience:

• Bio- informatics Project: Performed a BLAST search of the Giardia genome against the Swissprot database to identify Ortho logs and Para logs in to two different gene families using a Perl script and verifying the result by performing a phylogenetic analysis of the sequences using Maximum Parsimony and Maximum Likelihood.

Technical Environment: Perl, Linux, PHYLIP

• Database Project: The goal of the project is to develop the PHP implementation of a website that helps user to create or retrieve one department of homeland security (DHS) form with My SQL database in the back end which is designed with Normalization.

Technical Environment: My SQL, PHP, HTML

• Parallel and Concurrent Programming Project: The Objective of the project is to implement an MPI based parallel multiple sequence alignment (MSA) algorithm using Divide-and-Conquer approach and further refinement of MSA using an Iterative algorithm.

Technical Environment: C, MPI [Message Passing Interface], Tera Grid, Linux.

Programming Skills:

• Languages: C, Data Structures using Java, Perl, R, HTML, PHP, SAS, Matlab, Bash Scripting.

• Bioinformatics Tools: BLAST, ClustalW, Phylip, Velvet and using NCBI database.



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