Resume based on jsonresume.org

resume.json

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  "basics": {
    "name": "Edwin Clement",
    "label": "Software Engineer at BrowserStack",
    "email": "[email protected]",
    "phone": "+91 98335 82185",
    "url": "https://blog.edwinclement08.com",
    "summary": "An avid learner interested in various domains. Primarily skilled in Python, Deep Learning, App Development and Full Stack Apps. ",
    "location": {
      "countryCode": "IN",
      "address": "India",
       "city": "Mumbai",
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "ACoAABjTju0B8jMdPw45G74lt46a1YbB8VYzc9w",
        "url": "https://www.linkedin.com/in/ACoAABjTju0B8jMdPw45G74lt46a1YbB8VYzc9w/"
      }
    ]
  },
  "work": [
    {
      "name": "BrowserStack",
      "position": "Software Engineer",
      "startDate": "2019-05-31",
      "highlights": [],
      "summary": "Worked on...",
      "url": "https://www.linkedin.com/company/2553488",
      "location": "Mumbai Area, India"
    },
    {
      "name": "Robocon team, CRCE",
      "position": "Computer Head",
      "startDate": "2016-07-31",
      "endDate": "2019-07-31",
      "highlights": [],
      "summary": "worked on ...",
      "url": "https://blog.roboconcrce.org/",
      "location": "Mumbai Area, India"
    }
  ],
  "volunteer": [],
  "education": [
    {
      "institution": "Fr Conceicao Rodrigues College of Engineering Band Stand Bandra (West) Mumbai 400 050",
      "area": "Computer Engineering",
      "studyType": "Bachelor’s Degree",
      "startDate": "2015-12-31",
      "endDate": "2019-12-31",
      "score": "Fourth Year",
      "courses": []
    },
    {
      "institution": "Atomic Energy Central School",
      "area": "Computer Science",
      "studyType": "",
      "startDate": "2003-12-31",
      "endDate": "2015-12-31",
      "score": "",
      "courses": []
    }
  ],
  "awards": [
    {
      "title": "Grand Finale Smart India Hackathon",
      "date": "2018-03-31",
      "awarder": "Government of India ",
      "summary": "Developed a cross platform application using Ionic framework for implementation of a DD Free Dish pay per view system. Also worked on Raspberry Pi system for providing internet connection to Non-Smart TV sets."
    },
    {
      "title": "Third Place at State Level Hackathon ",
      "date": "2018-03-31",
      "awarder": "Fr. Conceicao Rodrigues College Of Engineering ",
      "summary": "Made an event management application for companies ,councils and teams in college for booking and reserving various rooms and also viewing different Company profiles, on MEAN stack for Unscript Hackathon 2018 organised by Fr.Conceicao Rodrigues College of Engineering."
    },
    {
      "title": "Robocon Second Round Qualifier",
      "date": "2016-03-31",
      "awarder": "Robocon India",
      "summary": "Qualified for Second round in Robocon India and attained 18th rank out of 120+ teams across India."
    }
  ],
  "certificates": [],
  "publications": [],
  "skills": [
    {
      "name": "Python",
      "level": "",
      "keywords": []
    },
    {
      "name": "Arduino",
      "level": "",
      "keywords": []
    },
    {
      "name": "Java",
      "level": "",
      "keywords": []
    },
    {
      "name": "C",
      "level": "",
      "keywords": []
    },
    {
      "name": "SQL",
      "level": "",
      "keywords": []
    },
    {
      "name": "JavaScript",
      "level": "",
      "keywords": []
    },
    {
      "name": "Deep Learning",
      "level": "",
      "keywords": []
    },
    {
      "name": "Node.js",
      "level": "",
      "keywords": []
    },
    {
      "name": "QML",
      "level": "",
      "keywords": []
    },
    {
      "name": "Flask",
      "level": "",
      "keywords": []
    },
    {
      "name": "Project Management",
      "level": "",
      "keywords": []
    },
    {
      "name": "Cascading Style Sheets (CSS)",
      "level": "",
      "keywords": []
    },
    {
      "name": "Gulp.js",
      "level": "",
      "keywords": []
    },
    {
      "name": "Robotics",
      "level": "",
      "keywords": []
    },
    {
      "name": "HAML",
      "level": "",
      "keywords": []
    },
    {
      "name": "Electron.atom.io",
      "level": "",
      "keywords": []
    },
    {
      "name": "Leadership",
      "level": "",
      "keywords": []
    },
    {
      "name": "SASS",
      "level": "",
      "keywords": []
    },
    {
      "name": "Git",
      "level": "",
      "keywords": []
    },
    {
      "name": "Mean Stack",
      "level": "",
      "keywords": []
    },
    {
      "name": "Linux",
      "level": "",
      "keywords": []
    },
    {
      "name": "AngularJS",
      "level": "",
      "keywords": []
    },
    {
      "name": "Management",
      "level": "",
      "keywords": []
    },
    {
      "name": "PostgreSQL",
      "level": "",
      "keywords": []
    },
    {
      "name": "MySQL",
      "level": "",
      "keywords": []
    },
    {
      "name": "Ubuntu",
      "level": "",
      "keywords": []
    }
  ],
  "languages": [
    {
      "language": "English",
      "fluency": "Native Speaker"
    }
  ],
  "interests": [],
  "references": [],
  "projects": [
    {
      "name": "Detect individuals in a photo - Hackathon ",
      "startDate": "2017-09-30",
      "summary": "Developed an application to detect and count the number of human faces from an image using Google’s Deep Learning software, Tensorflow in Python at a Hackathon held at Sardar Patel College of Engineering.",
      "endDate": "2017-09-30"
    },
    {
      "name": " Project name Pollution Monitoring Devops Project ",
      "summary": "Made an application which displays the pollution of states in India by processing the csv dataset with Logstash, storing the data in Elasticsearch database and visualizing in Kibana with the aid of various charts and maps.",
    },
    {
      "name": "Inventory Management System ",
      "summary": "A GUI for adding items to the Bill and creating a Receipt. The project was made as a part for coursework in Java. The front end was made in Java Swing.",
    },
    {
      "name": "Sentiment Analysis of Twitter Data - Hackathon ",
      "summary": "Built a Fully Connected Neural Network on Tensorflow for Sentiment analysis on Twitter Data for Bitcoin and other Cryptocurrencies. Analyzed the relationships between various cryptocurrencies to make appropriate stratergies for Stop Loss selection and Hedging.",
    },
    {
      "name": "Verifiable Certifications - Hackathon ",
      "summary": "Developed a Smart Contract on Solidity, for trustable and verifiable Certifications on the Ethereum Blockchain.",
    }
  ],
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