Experience

Sound Agriculture

• United States
• Agriculture, Construction, Mining Machinery Manufacturing
• 100 - 200 Employee

• Bioinformatics Associate

  • Mar 2021 - Present



UCSF Benioff Children's Hospitals

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Research associate II

  • Jun 2020 - Mar 2021



Northeastern University

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Feb 2020 - May 2020

  -My role was to find the active site residues residing in the protein and their function.-I worked mainly on the proteins belonging to Enolase superfamily. -I used an in-house tool that uses Maximum Likelihood POOL to achieve this. -My role was to find the active site residues residing in the protein and their function.-I worked mainly on the proteins belonging to Enolase superfamily. -I used an in-house tool that uses Maximum Likelihood POOL to achieve this.



Beth Israel Deaconess Medical Center/ Harvard Medical School

• Research Student CO-OP

  • May 2019 - Dec 2019

  •Used R packages like WGCNA, SVM in order to develop a tool for predicting Glioblastoma based on expression analysis using dataset downloaded from TCGA, through Machine learning algorithms. •Analyzed single cell sequencing AML-Human samples through Seurat 2.0 package in R, generated clusters with annotation for each cluster and this was then implemented into single cell sequencing pipeline. •Worked on FastQC for mouse samples to understand tools like Hisat2, cut adapt, bowtie for NGS analysis•Worked on Ingenuity Pathway Analysis tool for colorectal cancer data to generate networks that help in understanding correlations between them.



Northeastern University

• United States
• Higher Education
• 700 & Above Employee

• Graduate Intern at Antimicrobial Discovery Center

  • Jan 2019 - May 2019



Sapient

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Associate Technology L1

  • Sep 2017 - May 2018

  •As an E-Commerce Associate, delivered complex E-Commerce Order Management architecture and application solutions with the help of SQL. •Major specialization being in Manhattan Order Management suite and IBM Omni-Channel E-Commerce suite of products, which is primarily involved in managing customer order retailing right from accepting an order up to fulfillment. •As an E-Commerce Associate, delivered complex E-Commerce Order Management architecture and application solutions with the help of SQL. •Major specialization being in Manhattan Order Management suite and IBM Omni-Channel E-Commerce suite of products, which is primarily involved in managing customer order retailing right from accepting an order up to fulfillment.



Expicient Inc

• United States
• Software Development
• 1 - 100 Employee

• Associate Consultant

  • Jul 2016 - Sep 2017

  •As an E-Commerce Associate, delivered complex E-Commerce Order Management architecture and application solutions with the help of SQL. •Major specialization being in Manhattan Order Management suite and IBM Omni-Channel E-Commerce suite of products, which is primarily involved in managing customer order retailing right from accepting an order up to fulfillment. •As an E-Commerce Associate, delivered complex E-Commerce Order Management architecture and application solutions with the help of SQL. •Major specialization being in Manhattan Order Management suite and IBM Omni-Channel E-Commerce suite of products, which is primarily involved in managing customer order retailing right from accepting an order up to fulfillment.



InterpretOmics

• India
• Biotechnology Research
• 1 - 100 Employee

• Data Science Intern

  • Dec 2015 - May 2016

  •Performed database mining which primarily involved downloading data from Drug Bank or Protein data Bank (PDB) using Unix. •The data was the parsed from XML format into CSV through python script which was then collected into a database using MySQL.•Created databases that consisted bio-markers along with various annotations used for various common and rare diseases. •Performed database mining which primarily involved downloading data from Drug Bank or Protein data Bank (PDB) using Unix. •The data was the parsed from XML format into CSV through python script which was then collected into a database using MySQL.•Created databases that consisted bio-markers along with various annotations used for various common and rare diseases.