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svalpady has not earned any certificates yet.
Work Experience
Data Analyst Intern
Embue•  May 2019 - August 2020
• Developed a UI dashboard to track around 500 thermostats across several buildings backed by MongoDB database. The Queried data from the MongoDB database were used to create UI and Web Server for multiple charts using Rshiny package in RStudio. • Created visualization through Rshiny app using ggplot2 and deployed it to customers as charts and tables using an AWS server. • Cleaned and Pre-processed data using tidyverse and dplyr packages. Used GitLab repository to store, monitor and share the work of every member of the team.
Teaching Assistant
University of Massachusetts / UMass Amherst•  January 2019 - May 2020
• Undergraduate teaching assistant for 3 consecutive semesters, 4 sections each in Computer Engineering and Physics department. • Responsibilities include demonstrating procedures, leading discussions, grading student lab reports, assignments, and exams.
Data Scientist
Syscare Technologies & Services Pvt Ltd•  October 2017 - March 2018
• Designed and implemented an AI security system using Deep Learning Model using LSTM and CNN. LSTM architecture was used to process continuous frames of input video fed from the camera. CNN architecture was used for object detection in each frame of the video. • Converted the existing model from the Tensorflow package to the PyTorch package with better efficiency of the model. Integrated the model on Raspberry Pi using Python language. • Established a validation framework by incorporating a probabilistic metric of the detected object using a bounding box on a monitor.
Education
University of Massachusetts (System)
Computer Science & Engineering, MS•  September 2018 - May 2020
GPA - 3.71. The main focus of Data Science and Machine Learning. Coursework: Deep Learning, Machine Learning, Computer Vision, Algorithms and Data Structures for Computer Science, Math Tools for Data Science, Internet of Things (Data processing from Sensors), Statistical Image Processing, Probability and Random Process, Linear Algebra Certificate Courses: Neural Networks and Deep Learning, Improving Deep Neural Networks, Distributed Computing with Spark SQL, Machine Learning Foundations: Case Study, Data Scientist Nanodegree – Udacity, Data Structures and Algorithms Nanodegree – Udacity.
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