Yash Agrawal
@yash.agrawal
Bioinformatics Engineer at Medgenome Labs Pvt. Ltd.
Bhopal, Madhya Pradesh, India
Expertise in machine learning, data analysis and data visualization to drive informed decision making in the field of data warehousing and analytics. Committed to develop models, analyze, and visualize data and leverage cloud computing to enable organizations to make data-driven decisions for sustainable growth in ever changing market environments.
Experience
Bioinformatics Engineer
Medgenome Labs Pvt. Ltd.
Built python-based automation pipeline for precision variant annotation, enhancing genomic insights. Developed Flask web framework to craft responsive web services. Applied advanced genomics analytics with pandas, SQLAlchemy, and PySpark, driving innovation in ETL solutions. Developed Nextflow pipelines, streamlining complex workflows for efficient genomic data processing.
Data Research Analyst (Internship)
Indian Institute of Technology, Ropar
Performed Exploratory data analysis and visualized in Tableau on signal receiver data of 10,00,000 points to enhance efficiency. Implemented neural networks (CNN and RNN) to combat noise and fading problems.
Research Analyst (Internship)
Indian Institute of Science Education and Research, Bhopal
Utilized MATLAB tools to conduct in-depth analysis of various circuits like multiplexers, encoders, and Keithley 2450 device.
Education
Indian Institute of Science Education and Research (IISER) Bhopal
Master of Science in Electrical Engineering and Computer Science
Electrical Engineering and Computer Science; Minor in Data Science Engineering
Indian Institute of Science Education and Research (IISER) Bhopal
Bachelor of Science in Electrical Engineering and Computer Science
Electrical Engineering and Computer Science
Licenses & Certifications
Machine Learning Certification
Stanford University
Introduction to Web Development Certification
University of California Davis
Programming for Everybody (Python) Certification
University of Michigan
COVID 19 Data Analysis using Python
Coursera