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Software Engineer

Location:
Boulder, CO
Posted:
March 01, 2021

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Resume:

Pratik Pramod Revankar

adkj9o@r.postjobfree.com 669-***-**** www.linkedin.com/in/pratik-revankar

EDUCATION

M.S in Computer Science CGPA: 3.79/4

Data Science and Engineering Graduation: May 2021

University of Colorado Boulder, Boulder, CO

B. Tech in Computer Science and Engineering CGPA: 8.72/10 Vellore Institute of Technology, Chennai, India Graduation: May 2018 TECHNICAL SKILLS

Python3, Go, C++, HTML/CSS/JavaScript, D3.js, MATLAB Django, ReactJS, MySQL, MongoDB, PostgreSQL, Redis, Elasticsearch, Spark, Hadoop, GCP, AWS, Kubernetes, RabbitMQ, Celery, Tableau, PowerBI, ELK, Ubuntu, Git WORK EXPERIENCE

Software Development Engineer - Intern May 2020 – Present SpectraLogic, Boulder, Colorado

• Built an automation tool to monitor cloud VM Instances on GCP, and EC2 instances on AWS, and track CPU and Network utilization, to teardown under-utilized resources in Automation Testing infrastructure, using GoLang.

• Currently working on QTest integration with test infrastructure and design and validation testing. Student Assistant Data Analyst October 2019 – May 2020 Department of Planning, Assessment and Data Analytics, CU Boulder, Colorado

• Conducted qualitative data analysis to analyze student and staff survey data at CU, Boulder and was responsible for pre- processing and coding data, and creating interactive dashboards using PowerBI, to generate survey reports with key insights Software Development Engineer June 2018 – June 2019 Deloitte USI – Advisory, Bengaluru, India

• Built automation bots, using UI Path, to analyze clinical data and generate automated analysis reports. Increased efficiency of report generation for the client by 35%. Received the “Innovation Award” for successfully delivering the proof-of-concept

(POC) as a single resource.

• Developed web-based applications, to increase efficiency of manual tasks, utilizing the full lifecycle of architecture design, implementation and testing, through collaboration with technical leads and managers PROJECTS

Online Customer Feedback Analysis for E-Commerce January 2020 – April 2020

• Web-based business intelligence tool that analyses customer feedback on an e-commerce store to derive useful metrics about products or services and make data-driven business decisions. Built using Kafka, Flink, Druid to handle data stream, Bag-of- Words model with TextBlob library for sentiment analysis and HTML/CSS/JS for visualization dashboard Visual Q/A Assistance for Visual Impairment January 2020 – April 2020

• Implemented a Visual Question-Answering model, which uses a co-attention mechanism to predict an answer for an input scene image and natural language text, as a potential application for assisting a person with a visual impairment

• Built using TensorFlow library, with BERT for textual embeddings, ResNet50 deep neural network to capture the image embeddings, and a multi-label regression to predict the answer. LSTM is used to generate an explanation to the answer Health Tracker – interactive dashboard to visualize personal health data using HealthKit API August 2019 – December 2019

• Web- based application that allows a user to track, analyze and display key health data information, mainly physical activities

• Plug-and-Play tool that allows users to upload their health data and built using HTML/CSSS/JS and D3.js Blockchain-based Electoral Voting System January 2018 – April 2018

• Designed a POC blockchain platform using test Ethereum network for casting electoral votes. Token-based platform, where the user’s fingerprint data was captured and stored as crypto-key, for authentication. Ensured no double-spending and enhanced security, since every transaction (vote) is verified Text-extraction from images using Neural Networks and BK trees January 2017 – March 2017

• Training data from ‘Char74K’ dataset was pre-processed and segmented using histogram-based method. Spelling errors in the output were corrected using BK tree data structure and Levenshtein distance metric to approximate string-matching from a pre-existing dictionary of relevant strings. Built using Keras API and TensorFlow library



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