Bioinformatician, Barabasi Lab (Northeastern University)

www.barabasilab.com/

• Perform coding in Python to work with datasets that include USDA, PubChem and PubMed.
• Implemented WebScraping using the Google Maps API to locate different producers’ latitudinal and longitudinal values.
• Written Perl/BASH scripts to grade assignments automatically and produce a score card

Student, Northeastern University

• Work carried out on group project called Ancestral Genomes: a resource for reconstructed ancestral genes and genomes across the tree of life.
• Comparison and alignment in CLI and Geneious with BLAST, ClustalW, MUMmer, Mauve, SPatt.
• Phylogenetic Analysis in Geneious, determined model using jModelTest and MrBayes.
• Data Analysis in NGS, containing QC with FASTX-Toolkit, and assembly with velvet, bowtie, SoapDenovo2.
• Perform coding in Python, Perl, and a little R, to request or parse data, execute commands, and analyze data.

, Politecnico Di Milano

• Undertook the Automation and Control Engineering course at the University where courses included Vehicle Dynamics, Automation in Energy Systems and Production Systems Control.
• Attained a grade of 30/30 for all the courses.
• Got opportunity to talk to one of Ferrari’s Vehicle Dynamics team head, Marco Fainello.

Prediction of weather forecast (Project) , Amrita VishwaVidyapeetham

• A deep learning where the system detects diseases with diabetic retinopathy and classifies them into 4 stages-mild, non-proliferative, proliferative and malignant using Keras, a high-level network API with backend as TensorFlow, written in Python.