Supriya Karkra Email & Phone Number
Who is Supriya Karkra? Overview
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Supriya Karkra is listed as Software QA Team Lead at Strand Life Sciences, a with 357 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Supriya Karkra.
Supriya Karkra previously worked as Senior Software QA Engineer at Strand Life Sciences and QA Engineer at Strand Life Sciences. Supriya Karkra holds M.Sc., Bioinformatics from Banasthali University.
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About Supriya Karkra
Seasoned QA expert with 13 years of experience transitioning to Product Owner/Product Management in healthcare. Proficient in Agile, project management, and stakeholder engagement. Excited to utilize healthcare expertise to drive product success. Skilled in collaborating with cross-functional teams and delivering innovative solutions to clients.I bring in-depth experience in Test Automation framework development and test management. My QA experience spans the Verification and Validation of bioinformatics algorithms (NGS, MS, etc..), Automation using QTP and Selenium, Test framework TestNG, Test Management qTest and Zephyr, Feature definition, and sprint planning. Well-versed in managing test environments, deployments, and test data preparation. In addition to this, I have also spent 2 years in research as a Research Intern and Junior Research Fellow. I have published research papers and presented research projects at conferences.
Listed skills include Sequence Analysis, Bioinformatics, Computational Biology, Microarray Analysis, and 40 others.
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Supriya Karkra work experience
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Senior Software Qa Engineer
Qa Engineer
Scientist Ii
Scientist-I
Application Associate
Dealing with Microarray Data Analysis and Next Generation Sequence Analysis.
Junior Research Fellow
Worked on “Agri-Bioinformatics promotion program”funded by Department of information Technology, Government of India.• O.S.-Win7,DBMS-SQL Server 2005Packages/software:DNA Star Lasergene(commercial),CAP3(EST assembly), AutoSNP 1.0, Primer3,VecScreen, RepeatMasker, Websat .Databases: GrainGenes 2.0, Wheat database, KOMUGI, dbEST.Role and responsibilities:Establishment of database of DNA based markers in wheat.Mining of SNPs from ESTs of biotic and abiotic… Show more Worked on “Agri-Bioinformatics promotion program”funded by Department of information Technology, Government of India.• O.S.-Win7,DBMS-SQL Server 2005Packages/software:DNA Star Lasergene(commercial),CAP3(EST assembly), AutoSNP 1.0, Primer3,VecScreen, RepeatMasker, Websat .Databases: GrainGenes 2.0, Wheat database, KOMUGI, dbEST.Role and responsibilities:Establishment of database of DNA based markers in wheat.Mining of SNPs from ESTs of biotic and abiotic stress genes in wheat.Designing of primers.Validation of Insilico work through experimental techniques.Poster Presentation:“In silico mining of gene based SNPs in Wheat EST database” .Supriya Karkra, Bharati Pandey, Mohd Danishuddin, Sujata Pulugurta, Rajender Singh, Pradeep Sharma, Rekha Malik, Sonia Sheoran and Ravish Chatrath(2011) . 3rd IGM on Wheat Productivity Enhancement under Changing Climate at University of Agricultural Sciences Dharwad, Karnataka. Show less
Project Trainee
Under guidance of Dr. Andrew M. LynnDissertation - "Hole-filling in Mycobacterium tuberculosis metabolome using Chromosomal clustering"Worked on prediction of orphan activities in Mtb. metabolome and assigning them probable gene sequence. Duration : 6 monthsTeam Size : 2Operating System : Linux – FedoraLanguages : Perl and RTools/packages : Perl Modules (Graph, Statistics).Software : Genome map viewer.Databases : Reaction Database (Ma & Zeng)… Show more Under guidance of Dr. Andrew M. LynnDissertation - "Hole-filling in Mycobacterium tuberculosis metabolome using Chromosomal clustering"Worked on prediction of orphan activities in Mtb. metabolome and assigning them probable gene sequence. Duration : 6 monthsTeam Size : 2Operating System : Linux – FedoraLanguages : Perl and RTools/packages : Perl Modules (Graph, Statistics).Software : Genome map viewer.Databases : Reaction Database (Ma & Zeng), NCBI, KEGG. Show less
Colleagues at Strand Life Sciences
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Susmita Dey
Colleague at Strand Life SciencesIndia
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Tausif Iqbal
Colleague at Strand Life SciencesPalakkad, Kerala, India
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Pratham Nagpure
Colleague at Strand Life SciencesMumbai, Maharashtra, India
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Shweta Sahu
Colleague at Strand Life SciencesBengaluru, Karnataka, India
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Aditi Chatterjee
Colleague at Strand Life SciencesBengaluru, Karnataka, India
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SS
Syed Sadiq
Colleague at Strand Life SciencesBengaluru, Karnataka, India
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Arunbala Balasubramani
Colleague at Strand Life SciencesSalem, Tamil Nadu, India
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Steven Gao
Colleague at Strand Life SciencesBoulder, Colorado, United States
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Kaminiranjan Panigrahi
Colleague at Strand Life SciencesBengaluru, Karnataka, India
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Jagadish K
Colleague at Strand Life SciencesChennai, Tamil Nadu, India
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Supriya Karkra education
M.Sc., Bioinformatics
Bsc, Bioinformatics
Frequently asked questions about Supriya Karkra
Quick answers generated from the profile data available on this page.
What company does Supriya Karkra work for?
Supriya Karkra works for Strand Life Sciences.
What is Supriya Karkra's role at Strand Life Sciences?
Supriya Karkra is listed as Software QA Team Lead at Strand Life Sciences.
Where is Supriya Karkra based?
Supriya Karkra is based in Bengaluru, Karnataka, India while working with Strand Life Sciences.
What companies has Supriya Karkra worked for?
Supriya Karkra has worked for Strand Life Sciences, Directorate Of Wheat Research, and Jawaharlal Nehru University.
Who are Supriya Karkra's colleagues at Strand Life Sciences?
Supriya Karkra's colleagues at Strand Life Sciences include Susmita Dey, Tausif Iqbal, Pratham Nagpure, Shweta Sahu, and Aditi Chatterjee.
How can I contact Supriya Karkra?
You can use AeroLeads to view verified contact signals for Supriya Karkra at Strand Life Sciences, including work email, phone, and LinkedIn data when available.
What schools did Supriya Karkra attend?
Supriya Karkra holds M.Sc., Bioinformatics from Banasthali University.
What skills is Supriya Karkra known for?
Supriya Karkra is listed with skills including Sequence Analysis, Bioinformatics, Computational Biology, Microarray Analysis, R, Systems Biology, Genetics, and Molecular Biology.
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