lavanya puchakayala

About

Highly motivated, self-starter with Masters degrees in General Engineering (Bioinformatics) and Information Systems. Strong scripting and programming experience in Python,Perl and C. Thorough knowledge of bioinformatics tools such as BLAST, RefSeq and Pubmed. Sound familiarity with SQL and R. Strong statistical and analytical background. Excellent ability to communicate effectively as an individual contributor as well as part of a team.

Country

united states

City

milpitas

Industry

biotechnology

Skill

perl, python, r, c, bioinformatics, dna sequence analysis, swiss model, blast, mfold, clustalw, data analysis, problem solving, research, teamwork, microsoft office, powerpoint, excel, word, programming, c++, dna sequencing, sql

Experience

intern

seeback software systems

2005-1 - 2005-6 · 6 mos

student

san jose state university

2011-1 - 2012-1 · 1 yr 1 mo

Education

kakatiya university

computer applications

1999-1 - 2002-1 · 3 yrs 1 mo

san jose state university

bioinformatics

2009-1 - 2011-1 · 2 yrs 1 mo

Relevant Courses: Genetics, Bioinformatics I & II, Bioinformatics Computational Tools & Algorithms for Engineers, Statistics for Bioinformatics, Applied Bioinformatics for Engineers, Special Topics in Bioinformatics Final Project: Genotoxicity Prediction and Drug Discovery: Developed scripts in Python that analyzed compounds for their suitability as drug targets to cure a disease. We used an evidential reasoning approach, based on the Dempster-Shafer theory. The input parameters for our decision analytic model were attributes like therapeutic index, gene interference results, molecular size etc. of a compound. The output is a target suitability measure along with confidence intervals that represents the degree to which we believe the suitability measure.