CURRICULUM VITAE

PRITI AGRAWAL

Current Address: **** **** ****** **** ***# 1621

RICHARDSON 75082

E-mail: ac9w8m@r.postjobfree.com

Phone: +1-704-***-****

Language Spoken: English (Fluent)

Hindi (Fluent)

Career Objective

Seeking opportunity with an institution where I can gain a significant amount of practical knowledge & use my computer skills in the best possible way for achieving the organization’s goals and simultaneously enhancing my knowledge.

Ready to learn new technology and ready to join new career path beside my background too. Educational Qualification

Degree Institute Institute

Year of

Passing

Percentage

MASTERS IN Bioinformatics

University of

Pune

Pune,

Maharashtra

2011 76%

BACHLORS degree in

Biotechnology,Chemistry,Botany

MGIAS

Jaipur,

Rajasthan

2009 75%

Class 12th

Banasthali

Board

Banasthali

Vidyapith,

Rajasthan

2004 78%

Class 10th

Banasthali

Board

Banasthali

Vidyapith

Rajasthan

2002

89% (Gold

Medalist)

Achievements

● Gold medal in 10th standard (Aapaji Swarna Padak) for scoring highest score in university.

● Received DBT (Government of India, Department of Biotechnology) scholarship in Master degree.

● Cleared the National level written exam GS 2011 held by TIFR (Tata Institute of Fundamental Research).

● Scholarship from Mahindra and Mahindra for scoring highest marks in the school (Two times). Training and Certification

Two month’s lab training from Sawai Mansingh Hospital, Jaipur, Rajasthan on HBV virus

Bioinformatics: Introduction and Method : Grade Achieved: 97.0% with DISTINCTION

Bioinformatics: Life Sciences on Your Computer: Grade Achieved: 93.0% with DISTINCTION

Genetics and Society: A Course for Educators: Grade Achieved: 100% with DISTINCTION WORK EXPERIENCES

Worked as a data curator and analyst for six months in Genbios Pvt lmt, Bangalore since August 2011- february 2012.

Key Skills

Computer skills & languages Microsoft Access, Word, Excel, Outlook, PowerPoint and Project, PERL, Image Analysis and Data Processing.

Database related SQL,HTML, PHP (introductory)

Docking Tools ICM Pro, Molegro Virtual Docker (MVD), Argus Lab, Discovery Studio, Auto Dock.

Chemoinformatics MOE (Limited extent-QSAR model building, Virtual Screening Biological Database & Tools Primary and Derived Databases(Biological and Chemical) Dynamic Programming (NW, SW algorithm)

BLAST Algorithm

MYSQL

Genome Comparison and analysis (VISTA, PIPMAKER, MUMMER) Gene prediction servers (HMM, GENSCAN, AUGUSTUS etc.) Gene order prediction servers: Synteny.

Homology Modeling and Protein structure prediction Operating Systems Windows XP, Vista, Windows 7 8 9 10 Project and Experience

Successfully completed my Master’s degree project on “different aspects of metal ions, their evolution and their correlation with proteins folding and functional dependency. (Comprehensive analysis of the metal ion preferences in Metalloproteins and their role in Evolution)”.

Genomics: NGS / High-Throughput Genomics Data Analysis (DNA-Seq RNA-Seq Meta-Seq Chip-Seq) and Structural & Functional Bioinformatics.

Developing specific Scripting Programs for the storage and retrieval of genomic data from databases.

Perl/R scripts for carrying out large scale data mining of all the Biological data, drafting adequate MySQL databases for managing the data of multiple genome data projects

Analysis of Large scale R & D data and mining for further analysis in QSAR Drug studies to screen novel drug components using in-house and commercial tools.

Prediction of Protein Structure using Homology modeling and Gene Targets for Novel Drug Candidates.

Analyze large-scale datasets like raw curated literature data, genomic sequence data, and proteomics data for clinical or basic research purposes.

Support data analysis of whole Genome and Transcriptome Sequencing, Meta-genomics and other NGS technologies based on systematic analyses of experimental data. Additionally, Integrate genomic, transcriptomic and other data types to solve deep biological problems.

Develop and implement solutions for data access and visualization using scripting languages and Employ statistical computing to extract hypothesis and conclusions from these integrated data.

Contribute towards supporting and improving existing bio-informatics tools and workflows and work closely in consultation with Regulatory, R&D sites, and global project teams.

Responsible for developing and applying computational methods to analyze and interpret genomic data related to diseases, immunology, oncology and other areas in animal health and Carry out comparative genomics analysis of bacterial, viral and animal genomes. Hobbies

Singing/ Dancing

Craft work

Painting

Cooking

Teaching

Badminton playing

Playing and doing Activities with Kids

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