Nidhi Davawala
ndavawala@umass.edu | linkedin.com/in/nidhi-davawala | nidhi729.github.io | (413) 695-7852
Education
University of Massachusetts Amherst *Expected grad: May’21
Masters in Computer Science
Coursework: Neural Networks, Algorithms & Systems for Data Science, Natural Language Processing*, Information Retrieval*
Dhirubhai Ambani Institute of Information and Communication Technology, India Aug’15-May’19
B.Tech in Information and Communication Technology (ICT) GPA: 8.14/10.0
Coursework: Data Structures & Algorithms, Database Management System, Software Engineering, Operating Systems
EXPERIENCE
Summer Technology Intern, Goldman Sachs New York Ongoing
∙ Working on the Enterprise Health Restoration Services for alert management.
∙ Generating interpretable user manuals from JSON workflows and integrating it across the system heath check platform.
Research Intern, Indian Space Research Organization (ISRO) May’18-Jul’18
∙ Implemented Wishart image classification of agricultural lands on RADARSAT-2 Synthetic Aperture Radar Data.
∙ Generated change map using hypothesis testing to identify the areas with significant changes over a period of time.
Publication
Change Detection Of Polarimetric SAR Data For Monitoring Of Agricultural Areas ISPRS’18
N. Varia, N. Davawala, S. Chirakkal, D. Haldar, R.Ghosh, D. Putrevu Link to paper
Projects
Mini Search Engine Implementation
∙ Implemented a mini-search engine capable of handling HTTP query requests to retrieve webpages from keywords.
∙ Used Hadoop File Systems to store the files and corresponding URLs; Apache Spark for generating inverted index.
∙ Answered queries by retrieving the corresponding files stored as key-value pairs on RocksDB.
Data Visualization: Mental health in Tech
∙ Developed an interactive Bootstrap website for multi-view D3 visualizations of OSMI Mental Health in Tech surveys
∙ Performed data analysis on 3 years surveys to understand the changing trends of employee mental health in IT industry.
∙ Gained insights on the spread of mental disorders, evaluated the support system and made suggestions to improve it
Background modeling for foreground detection in video surveillance
∙ Developed a mechanism for automatic background subtraction to identify the moving objects in a video
∙ Generated a basis vector of background using Principal Component Analysis and Locality Preserving Projection
∙ Subtracted the modelled background from the test video to detect the foreground with 97.7% accuracy.
Breast Cancer Prediction
∙ Performed a 2 class supervised classification on real valued features of a cell nucleus
∙ Implemented algorithms of Logistic Regression, Decision Tree Model and Random Forest for classification
Technical Skills
∙ Languages: C/C++, Java, Python, PostgreSQL, MATLAB, HTML, TensorFlow
∙ Certifications: Neural Networks (NTU Singapore), AI-Search Methods for Problem Solving (IIT Madras)
Leaderships and Achievements
∙ Chairperson, Women in Engineering (WIE) Affinity Group of IEEE Student Branch, DA-IICT (2018)
∙ Recipient of Scholarship for Higher Education (SHE) by the Dept. of Science and Technology, Govt of India (2014)
