Vidit Agrawal

Summary

Dynamic and results-driven professional with experience in software engineering, machine learning, deep learning, data analysis and mathematical simulations.

Skills

• Programming: Python, C++, R, SQL
• Tools: Git, VSCode, Linux, Bash, Jupyter Notebook
• Python Libraries: NumPy, Pandas, SciPy, scikit-learn, scikit-image, OpenCV, Matplotlib, Seaborn, PyTorch, Dask, TensorFlow

Experience

Software Research Engineer/Scientist, Intel Corp, Hillsboro, Oregon

Resolution Enhancement Technology Team

Sep 2021 – Present

• Performed failure analysis and recommended defect performance metrics for the models of photo-lithographic processes.
• Built and supported image-based defect annotation and classification tools using machine learning and deep learning techniques.
• Developed training modules and trained new engineers in failure analysis work-flow.

Senior Data Scientist, Wayfair LLC, Boston, MA

Measurement Data Science

Sep 2019 – Sep 2021

• Measured efficiency of Marketing channels like Direct Mail, Online Video, In-App by conducting A/B tests.
• Created self-service data-products for marketing analysts to perform statistical analysis.

Education

Ph.D. in Physics, University of Arkansas-Fayetteville, 2019

Integrated Bachelor and Master of Science, IISER Mohali, 2014

Projects

• Capstone Project for Insight Data Science, July 2019 – Built a Data-driven real estate investment risk model for CEO of an online real-estate marketplace.
  • Developed a risk-based real-estate underwriting model using linear regression, reducing prediction error by 4X.
  • Created a web application to visualize the model's predictions and risk factors.
  Project Presentation Video

Publications

• Scale-Change Symmetry in the Rules Governing Neural Systems, iScience, 2019.
• Robust entropy requires strong and balanced excitatory and inhibitory synapses, AIP Chaos, 2018.
• Influence of Supply Network Fragility on Firm Equity Risk, Academy of Management Proceedings, 2018.
• Emergence of Persistent Infection due to Heterogeneity, Scientific Reports, 2017.
• Spatiotemporal regularity in networks with stochastically varying links, European Physical Journal B, 2015.
• Realization of morphing logic gates in a repressilator with quorum sensing feedback, Physics Letters A, 2014.