Gaurav Sureka
Apartment B **** State Street NW GA, Atlanta 30318
Email:********@******.***; Phone: 904-***-****
Objective: To leverage and further advance my skills and knowledge within the biotechnology industry.
Education:
Georgia Institute of Technology, Atlanta, Georgia
Master of Science in Bioinformatics Expected: December 2013
Amity University Rajasthan, Jaipur, Rajasthan
Bachelor of Technology in Biotechnology August 2008 - 2012
Professional Experience:
January 2013- Present
Graduate Research Assistant, Georgia Institute of Technology (Atlanta, GA)
Focus: Unusual RNA secondary structure database
Developing perl scripts to:-
• Automate the whole process of generating the data by using pipelines.
• Format the RNA structure format(Eg:- bpseq to ct and vice-versa).
• Analyze the p-num of ensemble of structures.
Present Work:
Januray 2013 - Present
In collaboration with the Center for Disease Control and Prevention(CDC)
Working on the next generation sequencing data sets for prediction of genes.
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Setting up a genome browser by using GMOD utilities.
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April 2012 – July 2012
Galaxy Concepts Private Limited, Kolkata(India)
Focus: Genomic and proteomic analysis for proper understanding of N2 fixing
gene in Cyanobacteria.
• Analysis of CpG island, motifs etc. for Gene Identification.
• Prediction and validation of protein structure.
June 2011 - July 2011
West Bengal University Of Technology, Kolkata(India)
Focus: Study of Bio-molecular Structure
• Study of the secondary structures (eg:- beta sheets, alpha-helices etc) in various
proteins and their importance.
Relevant Graduate Projects:
Database Project:- A 3 phased group initiative to develop an online university system
• Design of the Entity Relationship (ER) Model.
• Mapping of the ER Model to a relational database schema.
• Constructing SQL queries for proper functioning of the Graphical User Interface (GUI). The GUI was
developed in python.
Technical Skills and Relevant Course Work
Proficient in Perl, SQL, Linux/Unix operating systems, R, Microsoft office suite
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Computational Genomics, Programming for Bioinformatics, CS for Bioinformatics, Introduction to
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probability and statistics.