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@noelmathewisaac
Last active February 21, 2021 10:59
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{
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"email":"noelmathewisaac@gmail.com",
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"summary":"I enjoy using tech to automate stuff and solve real-world problems. I am passionate about Machine Learning and Cybersecurity and regularly take part in hackathons to learn new skills. When I am away from my 'techie' side I am usually engrossed in learning about investing and playing chess.",
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"name":"sg-chess-bot",
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"website":"https://t.me/sgchessbot",
"summary":"Telegram bot to keep track of chess tournaments and clubs/meetups in Singapore",
"primaryLanguage":"Python",
"languages":[
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"Telegram",
"BeautifulSoup",
"Dialogflow"
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{
"name":"i'm the best coder! challenge 2019",
"description":"",
"url":"",
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"startDate":"",
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"displayName":"I'm the Best Coder! Challenge 2019",
"website":"",
"summary":"Data Analytics Competition By Shopee. Team Name: Sudo Code (6th Place in Undergraduate Category)",
"primaryLanguage":"",
"languages":[
"Jupyter Notebook",
"Python"
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"libraries":[
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],
"githubUrl":"github.com/noelmathewisaac/shopee-best-coder-2019",
"repositoryUrl":"github.com/noelmathewisaac/shopee-best-coder-2019",
"start":{
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"images":[
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},
{
"name":"punggol digital district hackathon 2019",
"description":"",
"url":"https://www.facebook.com/padangco/photos/a.1259494644212314/1259495304212248/?type=3&theater",
"highlights":[
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"displayName":"Punggol Digital District Hackathon 2019",
"website":"https://www.facebook.com/padangco/photos/a.1259494644212314/1259495304212248/?type=3&theater",
"summary":"Collaborated in a team of 5 and conceptualized a proposal for a platform to connect students with start-ups to do Micro-Projects (3rd Place and Dean' List Prize Winner)",
"primaryLanguage":"",
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"work":[
{
"name":"Factorem",
"location":"Singapore",
"description":"",
"position":"Software Engineer Intern",
"url":"https://www.linkedin.com/company/teamfactorem/?originalSubdomain=sg",
"startDate":"2020-12-01",
"endDate":"",
"summary":"",
"highlights":[
"Researched methods and technologies to automate the Design for Manufacturability (DFM) workflow.",
" Developed a system to automatically detect and flag DFM defects.",
"Expected end of internship: Early May 2021."
],
"isCurrentRole":true,
"start":{
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"month":12
},
"end":{
},
"company":"Factorem",
"website":"https://www.linkedin.com/company/teamfactorem/?originalSubdomain=sg"
},
{
"name":"DigiPasar Pte Ltd",
"location":"Singapore",
"description":"",
"position":"Tech Intern",
"url":"https://www.linkedin.com/company/digipasar-pte-ltd/",
"startDate":"2020-07-01",
"endDate":"2020-09-01",
"summary":"",
"highlights":[
"Contributed to the development of 'BillU' - a digital billing system using a blockchain platform and an AI-based app.",
"Enhanced data collection methods by building a web-scraper using Python and Selenium.",
"Developed a script to generate annotated image data (bill images) automatically with a varying number of items using OpenCV and Python to facilitate OCR model training for the app."
],
"isCurrentRole":false,
"start":{
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},
"company":"DigiPasar Pte Ltd",
"website":"https://www.linkedin.com/company/digipasar-pte-ltd/"
},
{
"name":"Singapore Civil Defence Force (National Service) ",
"location":"Singapore",
"description":"",
"position":"Clinical Audit Assistant",
"url":"",
"startDate":"2017-08-01",
"endDate":"2019-06-01",
"summary":"",
"highlights":[
"Analysed and maintained medical data on a monthly basis to support officers to gain insights into improving performance of paramedics. ",
"Developed multiple programs in Python to automate various audit processes which improved data accuracy and workflow efficiency.\n",
"Led team of 6 NSFs to perform clinical audits on ambulance cases and report clinical performance of paramedics based on various metrics. "
],
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},
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"company":"Singapore Civil Defence Force (National Service) ",
"website":""
}
],
"publications":[
{
"name":"Popcorn Data — Analysing Cinema Seating Patterns (Part I)",
"publisher":"Towards Data Science",
"releaseDate":"2020-06-10",
"url":"https://towardsdatascience.com/popcorn-data-analysing-cinema-seating-patterns-part-1-a0b2a5c2c19a",
"summary":"Article about what data analytics can reveal about our cinema habits.\n\nPart II - https://medium.com/analytics-vidhya/popcorn-data-analysing-cinema-seating-patterns-part-ii-987fbde9d363",
"fullReleaseDate":{
"year":2020,
"month":6,
"day":10
},
"website":"https://towardsdatascience.com/popcorn-data-analysing-cinema-seating-patterns-part-1-a0b2a5c2c19a"
}
],
"education":[
{
"institution":"National University of Singapore",
"url":"",
"area":"Computer Science",
"studyType":"Bachelor of Computing",
"startDate":"2019-09-01",
"endDate":"2023-06-01",
"score":"",
"courses":[
],
"description":"Relevant Coursework:\n• Object-Oriented Programming (Java)\n• Data Structures & Algorithms\n• Introduction to Operating Systems\n• Introduction to Information Security\n• Machine Learning (presently enrolled)\n\nActivities and Societies:\n• Developer Student Club NUS (DSC NUS) - Technology Associate\n• NUS Intellectual Games Club - Varsity Team Member (International Chess)\n",
"activities":"",
"start":{
"year":2019,
"month":9
},
"end":{
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"month":6
},
"website":"",
"gpa":""
}
],
"volunteer":[
],
"awards":[
],
"languages":[
],
"interests":[
],
"references":[
],
"certificates":[
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"meta":{
"note":"This is a combined version of the old and new JSON Resume API to provide maximum compatibility. You will notice duplicated values in different fields.",
"canonical":"https://raw.githubusercontent.com/jsonresume/resume-schema/master/resume.json",
"version":"v1.0.0",
"lastModified":"2020-12-29T15:53:00"
}
}
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