Deepthi Kallanja – Unlocking the Secrets of Biotechnology: Meet the Rising Star in Data-Driven Science

Introduction:

Deepthi Kallanja is a skilled professional in the field of biotechnology and computational biology. With a strong educational background and hands-on work experience, Deepthi has developed expertise in programming, bioinformatics, data analysis, machine learning, cloud computing, and software development. She has a proven track record of contributing to research projects, internships, and certifications, showcasing her proficiency in the application of advanced tools and techniques in biological data analysis.

Education:

• [hidden] Biotechnology – Thadomal Shahani Engineering College • GPA: [hidden]
• MTech Computational Biology – Anna University • GPA: [hidden]

Skills:

• Python, BASH, R, SQL
• Cytoscape, BLAST, Galaxy, GATK, BWA, ANNOVAR, BCFTOOLS, Trimmomatic, Bowtie2
• Pandas, NumPy, Scikit-learn, ggplot2, Shiny, Bioconductor
• Data visualization, statistical analysis, data mining
• AWS (EC2, S3), Docker, Git
• Project Management, Biological Databases (NCBI, Ensembl, UCSC Genome Browser, PDB, TCGA)

Work Experience:

• Beaniesnak Foods Pvt. Ltd • Mumbai • 06/2019-07/2019
  R & D Intern
  • Development and Recipe testing for nutritional drink
  • Preparation of nutritional profile for the drink
• Haystack Analytics Pvt Ltd • Mumbai • 11/2022-04/2023
  Bioinformatics Intern
  • Genome sequencing projects
  • NGS analysis pipeline development
  • Data Visualization and Analysis for yeast genome

Projects:

1. Analysing mutations and protein-protein interactions in Sars cov-2
   • Analyzed mutations in SARS CoV-2 proteins
   • Created protein-protein interaction networks using Cytoscape
   • Performed functional analysis to identify key proteins
2. A comparative study of biosurfactant extracted from bacillus subtilis and lactobacillus plantarum
   • Determined properties of biosurfactants
3. Reference based RNA-Seq Data analysis using Galaxy
   • Identified differentially expressed genes and pathways in Drosophila cells
   • Analyzed RNA-Seq data
   • Pinpointed specific genes affected by the depletion of Pasilla genes

Certifications:

• Data Analysis with R Programming – COURSERA with Google | Jan 2024
• Big Data, Medicine and Genes: Machine Learning for Classification and analysis of Biological Data – COURSERA and John Hopkins | April 2024
• Databases and SQL for Data Science with Python – COURSERA and IBM | Sept 2024

Publications:

• SARS-CoV-2: analysis of the effects of mutations in non-structural proteins. Published in Archives of Virology, Springer • 06/2023
• Medicinally important plants: A Review Published in INTERNATIONAL JOURNAL FOR RESEARCH & DEVELOPMENT IN TECHNOLOGY • 06/2020

Skills:

Programming, Bioinformatics Tools, Data Analysis, Machine Learning, Cloud Computing, Software Development, Biological Databases

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Cover Letter:

I’m contacting you about the bioinformatician post.
My educational background includes a Bachelor’s Degree in Biotechnology Engineering from Mumbai University and a Master’s in Computational Biology from Anna University, Chennai.
During my academic journey, I have gained proficiency in Linux and have become familiar with NGS techniques and terminology. I am comfortable with Python and eager to develop my skills further. My experience includes assisting in NGS data analysis, supporting bioinformatics pipeline development for variant calling and data visualization, and collaborating with scientists to interpret genomic data. Additionally, I have maintained and troubleshooted Linux-based systems, engaging in problem-solving and workflow optimization. I have dabbled in Machine Learning Programming and know the various algorithms used for classification and prediction such as Decision Tree, Bayes, and SVM.

During my internship at Haystack Analytics, I gained hands-on experience in NGS analysis, Linux, bash scripting, and pipeline development using tools like BWA, ANNOVAR, BCFtools, GATK, and SAMtools. I developed a reference-based NGS automated pipeline for mapping, variant calling, and detecting resistance-mediating and phylogenetic variants from Illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates from patient sputum-derived DNA samples. I have obtained certifications in Machine Learning for Biological Data from (Johns Hopkins University), Data Analysis in R (Google), and SQL using Python (IBM).

My educational background and the skills I have gained so far will be of utmost help professionally and I am always eager to learn more.