Data Assistant

Tanvi Chitnis

*****.********@*****.*** 812-***-**** 2566 Coldstream Lane, Columbus, IN 47203

EDUCATION

MS Bioinformatics, Indiana University, Indianapolis (May 2019) MTech Biotechnology, Vellore Institute of Technology, India (May 2013) WORK EXPERIENCE

Indiana University, Indianapolis (2019 - present)

Graduate Assistant, Biohealth Informatics department

• Study of mass spectrometry data for protein identification using MASCOT, MaxQUANT and prediction of theoretical peptide spectra with deep learning Gennova Biopharmaceuticals Limited, India (2013 – 2016) Officer, Analytical Development department

• Characterization of protein for treating neutropenia using mass spectrometry for comparative study with its biosimilar

• Conducted analysis for determination of integrity and stability of a new chemotherapeutic drug

• Conducted temperature and humidity dependent stability analysis of adjuvants for vaccine which helped the company to determine expiration date of the product

• Conducted compatibility testing of malarial vaccine with adjuvant and supervised its stage 1 clinical trials on female BALB/c mice

• Development of methods for analysis of compounds and their validation. Documentation of standard operating procedures, handling change controls and deviation in analytical procedures National Chemical Laboratory, India (2012 – 2013)

Intern, Biochemical Engineering department

• Maintaining marine protist cultures with regular inoculations and media optimization

• This work helped to determine, from various quantitative analysis, that DHA used in infant formulations can be produced from the protist and can serve as a viable replacement for fish oil ACADEMIC PROJECTS

• Differential gene expression analysis of single cell RNA sequencing data for diabetes by generating bioinformatics pipeline on high performance computer clusters

• Implementation and comparative study of computational algorithms for gene prediction

• Study of differentially expressed long noncoding RNA in chemoresistant and drug sensitive breast cancer cell line using microarray data

• Prediction of Breast Cancer using biopsy data with machine learning algorithms like k nearest neighbor, support vector machine, naïve bayes, decision tree and random forest

• Worked on NIPSH healthcare data of firefighters to predict common diseases and their occurrence using Naïve Bayes model

SKILLS

• Techniques learnt: HPLC, UPLC, GC, LCMS, Western Blotting, ELISA, SDS-PAGE, Dynamic Light Scatterer (DLS), GraphPad PRISM tool, Reagent handling and other laboratory procedures

• Programming languages Python, R, Perl, SQL and databases like MYSQL, NoSQL

• Operating systems: Windows, Unix

• Bioinformatics analysis: Sequence alignment, variant calling, NGS data visualization

• Efficient in analyzing microarray, DNA-seq, RNA-seq data using bioinformatics tools VOLUNTARY WORK

• Co-head of social service group “Kshitij” in India

• Worked as co-ordinater for the intercollege event ‘Excelsior’

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