Highly motivated, and newly minted computational biologist seeking a position as a Bioinformatics analyst/Bioinformatician in the life science/Healthcare industry, or Academia. Over ten years of multidisciplinary scientific work experience and an ability to self-start and adapt to the ever-evolving and intersecting fields of big data, biology and computer science.
Certifications
Integrated variant analysis using Galaxy -Dec 2018
Replicated study using reproducible pipelines that create an integrated genomic profile of cancer and used the profile to find mutations associated with disease and potentially useful drugs.
Jeremy Goecks, et al. Open pipelines for integrated tumor genome profiles reveal differences between pancreatic cancer tumors and cell lines, Cancer Medicine, Volume 4, Issue 3, 2015, Pages 392-403, https://doi.org/10.1002/cam4.360
Pipelines and Data GitHub repository link ;
https://lakshmanwadhwani.github.io/Galaxy-Integrated-variant-analysis/
Analysis in R & Python of the Plasmodium Falciparum parasite 3D7 Mitochondrion genome- Sept 2019
link to GitHub repository;
https://Lakshmanwadhwani.github.io/PF3D7-analysis.wadhwani.github.io/
Neural network for breast cancer detection using Tensor flow in Google Colab - Oct 2019
link to the GitHub repository;
https://Lakshmanwadhwani.github.io/Breast-cancer-detection-neural-network/
IBM Data Science Professional Certificate
· https://lakshmans-superb-project.webflow.io/