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search.json
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{
"articles": [
{
"path": "about.html",
"title": "About Murera Gisa",
"description": "This serves to efficiently present a series of my posts, tutorials, publications, awards, seminars and conference presentations to build an outstanding Data Science career.",
"author": [],
"contents": "\r\n\r\n\r\n\r\nMy name is Jean de Dieu Murera Gisa preferable to be called Gisa; A professional Data Scientist who is interested in solving problems related to various forms and formats of data in small, medium or/and large-scale. This is coupled with the zeal to be among the best and top world-class Data Scientists and Machine Learning Engineers known for the applications of big data in making informed policy decisions for institutions and industries. This triggers and sparks my passion for the field of data science and Machine Learning.\r\nGisa graduated with a First-Class Honors degree in Physics with Education at the University of Rwanda, College of Education in 2014, Kigali Rwanda.\r\n\r\n\r\n\r\n\r\nIn 2017, Gisa won a competitive MasterCard full Scholarship which worth $50,000 to study for a master degree in Mathematical Sciences, Data Science option at the African Institute for Mathematical Sciences (AIMS), Kigali, Rwanda. While studying at AIMS, Gisa became both students and MasterCard Scholars representative at the same time at the centre. Also, Murera Gisa holds a another Master degree of sciences in Economics obtained from the University of Kigali, Rwanda in November 2021.\r\n\r\n\r\n\r\n\r\nHe undertook the different online programming languages like R and Python, SQL, data science courses, etc from several online learning platforms like DataCamp, Udemy, DataQuest, Edx, Cousera and got completion certificates. The completion of the programs like Data Science with R and R programming tracks make him certified data scientist with R from DataCamp.\r\n\r\nIn summarry, Gisa has used the set skills in data wrangling, analysis, Statistical modeling, machine learning, and dashboard storytelling to provide visual and formative statistical outputs and tools. His professional skills as a data scientist and Researcher has brought innovation to the Rwanda Environment Management Authority (REMA) in which he worked with a team to build dynamic air quality status report to regularly illustrate Air Quality updates and calculate air pollution level and gives Air Quality Index (AQI) in color code format with reference to guidelines from US Environment Protection Agency and World Health Organization, WHO.\r\nGisa Murera has a passion for mathematics, statistics, Economics, geospatial and satellite imagery analysis, machine learning, and data science. Also, he plans to become an innovator who propels scientific, educational, and economic self-sufficiency. He is one of those that promote data science among colleagues as a facilitator, mentor and a developer.\r\nCopyright © 2022 Murera Gisa. All Rights Reserved. @Powered by Distill platform\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:30:53+02:00"
},
{
"path": "award.html",
"title": "Awards and Prizes",
"description": "This serves to efficiently present the memebrship, prizes, grants, scholarships, awards received.",
"author": [],
"contents": "\r\nScholarships\r\nFull funded Bachelor scholarship worth (\\(800,000Frw/year\\)) by the Government of Rwanda at University of Rwanda, College of Education, Rwanda (\\(2011-2014\\))\r\nFull funded Masters Scholarship worth of \\(50,000USD\\) by the MasterCard Foundation at African Institute for Mathematical Sciences (AIMS), Rwanda (\\(2017-2018\\))\r\nAwards, Prizes and Grants\r\nThe MasterCard Foundation Scholar medal at African Institute for Mathematical Science, AIMS Rwanda (\\(2019\\))\r\nThe MasterCard Foundation seed fund recipient worth of \\(5,000USD\\) to implement The Real Time and Automatic Irrigation System project (\\(2019\\))\r\nThe UNESCO Participation Project grant worth of (\\(26,000USD\\))recipient to implement The Digital Monitoring of Air Quality in TVET & Secondary Schools in Rwanda: A pilot study in the City of Kigali, Rwanda (\\(2022\\))\r\nMemberships\r\nCountry National Trainer, Artificial Intelligence for Disaster Risk Reduction in East Africa, Rwanda.\r\nMachine Learning and Data Science Africa (MLDS-Africa).\r\nArtificial Intelligence for Good, United Nations Platform for Artificial Intelligence.\r\nCommunity of Practice in the field of Data Science for policy decision making, Rwanda\r\nCopyright © 2022 Murera Gisa. All Rights Reserved. @Powered by Distill platform\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:30:54+02:00"
},
{
"path": "career.html",
"title": "Professional Carreer",
"description": "This serves to efficiently present the proffessional summary and working experience in the field of data driven researches, machine learning, and data science.",
"author": [],
"contents": "\r\n\r\n\r\n\r\nMurera Gisa is proactive, highly motivated, and skilled ML and data scientist with more than three years of experience in the data science area. Successfully accomplished Natural Language Processing, Text Mining, and Sentiment Analytics project indicated by the deployed tool for public sentiment monitoring and published research papers at African Economic Research Consortium and East African Business and Economic Watch. He is eager and self-motivated to learn more and get experienced and among wold-class individual in field of Natural Language Processing (NLP), Machine Learning Operations (MLOps), and Data Science and their applications in different sectors. He is also experienced in data-driven research and in the implementation of funded and granted data-related projects from ideation to the production. He is interested in the emerging applications of data science, Machine Learning, and Deep Learning technologies to solve environmental, health, social, and economic challenges. His aim is to relevantly understand and apply Data Science technological skills in order to accurately support the evidence-based socio-economic policies making to transform human life.\r\n\r\nProfesional Experience\r\nNational Bank of Rwanda, BNR (\\(2020-\\mathcal{Present}\\))\r\nPosition: Data Scientist\r\nKey responsibilities:\r\nDeveloping new economic indicators using big data sources\r\nParticipating in artificial intelligence and big data analytics projects\r\nLeveraging data science approaches to identify the insightful information hidden from different types of data in the National Bank of Rwanda.\r\nDesigning and developing different visual dashboards and data-driven tools for economic monitoring in Rwanda.\r\n\r\nKey accomplishments:\r\nDeveloped and deployed a robust public perception and sentiments monitoring tool to regularly monitor the public perception and sentiments towards the National Bank of Rwanda’s communication.\r\nDeveloped an Economic Monitoring Dashboard using data from the financial sector and surveys for policymakers to monitor key economic variables in real-time.\r\nBuilt an automated web scraper for economic news, social media, and real estate to develop the underlying index to monitor macroeconomic performance.\r\nDeveloped a social media sentiment index to be correlated with other macroeconomic indicators to regularly monitor the economic performance in Rwanda.\r\nEstablished and maintained an effective process for validating and updating predictive models\r\n\r\nRwanda Environment Management Authority, REMA (\\(June.2019 – Mar.2020\\))\r\nPosition: Data Scientist on Air Quality and Climate Change Monitoring Project.\r\nKey accomplishments:\r\nProvided mathematical and statistical expertise to research and analysis of air quality data to drive evidence-based decision-making.\r\nProvided a regular visual time report and dashboard on air quality status in Kigali City.\r\nDevelop automated air quality data analysis R script to regularly analyze and develop a visual report and dashboard on air quality status in Rwanda.\r\nProvided a report on Aerosol Source Apportionment in Kigali City through the usage of the Statistical Machine Learning Techniques.\r\nTrained staff on the use of R statistical software for Air Quality Data Analysis.\r\n\r\nBank of Africa PLC (\\(May.2018– Dec.2018\\))\r\nPosition: Business Intelligence and Data Analyst.\r\nKey accomplishments:\r\nElaborated methodologies for market penetration and business performance of the bank. * Developed Machine Learning Models for Credit risk analysis and customer segmentation.\r\nDeveloped a visual Shiny dashboard for the financial performance of the bank over period of 2016- 2018.\r\n\r\nCollege du Christ Roi- Nyanza (\\(Jan. 2012 – Jul.2017\\))\r\nPosition: Mathematics and Physics Teacher\r\nKey accomplishments:\r\nDeveloped Mathematics and Physics teaching modules based on the National curriculum development and deliver the course contents.\r\nAssessed and evaluated students and participated in co-curricular activities\r\n\r\nCopyright © 2022 Murera Gisa. All Rights Reserved. @Powered by Distill platform\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:30:54+02:00"
},
{
"path": "database.html",
"title": "DataBase",
"author": [],
"contents": "\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:30:55+02:00"
},
{
"path": "education.html",
"title": "Education",
"description": "This serves to efficiently present the formal schools, universities, colleges and institutions attended. And also the certificates of completion held from informal education and skills possesed.",
"author": [],
"contents": "\r\nEducation Background\r\nHere below are the list of higher academic institutions attended, period of attendance the final thesis (dissertations), allocated academic supervisors and a degree obtained:\r\nThe University of Kigali, Rwanda 2018-2021\r\nMaster of Science in Economics\r\nThesis: Critical Exploration of Socio-Economic Status on Childhood Stunting in Rwanda\r\nSupervisor: Dr. Afolabi Luqman, PhD\r\n\r\nThe African Institute for Mathematical Sciences, AIMS Rwanda 2017-2019\r\nMaster of Science in Mathematical Sciences\r\nThesis: Exploration of Statistical Properties of Nearest Learning Machine\r\nSupervisor: Prof. Ernest Fokoue,Rochester Institute of Technology (RIT), USA\r\n\r\nThe University of Rwanda, College of Education, Kigali Rwanda 2011-2014\r\nBachelor of Science with Education in Physics\r\nThesis: Impact assessment of Motivation on Physics Performance in Secondary Education\r\nSupervisor: Dr. Celestin Ntivuguruzwa, PhD\r\n\r\nComputer Skills\r\nData Wrangling and Modelling\r\nDistill web designing and Development\r\nPackage and API development\r\nWeb scraping and Analysis\r\nData visualization and Dasboarding\r\nDatabase management and UI designing\r\nFeature engineering and hyperparameter tuning\r\nMachine Learning and Predictive modelling\r\nNatural Language Processing and Sentiment Analysis\r\nSoftware Skills\r\nProgramming: R, RWeka, SparkR, Xaringan, Shiny, Python\r\nStatistical Tools: STATA, EVIEWS\r\nDatabase: SQL, BigQuery\r\nBusiness intelligence: PowerBI, Tableau\r\nVersion control: Git and GitHub\r\nOffice tools: Microsoft Excel, PowerPoint, Word, Google Applications, One Drive Platform,etc\r\nUnix and Ubuntu Tools: Latex, and Overleaf\r\nProfessional Programmes and/or Certifications\r\nBig Data and Hadoop Essentials on Udemy (2018)\r\nGeospatial Analysis and Radiant Earth Platform, Radiant Earth (2019)\r\nMachine Learning and Statistical Analysis, DataCamp, USA (2020)\r\nScientific Computing and Python for Data Science, DataCamp, USA (2020)\r\nSQL for Data Science, Coursera (2020)\r\nSocial Media Analysis with R, DataCamp (2020)\r\nBond Valuation with R, DataCamp (2020)\r\nNational Trainer on Artificial Intelligence for Disaster Risk Reduction system, UNESCO (2021)\r\nMachine Learning for Market Analysis with R, DataCamp (2022)\r\nStatistics Compilation for Remittances, MEFMI&IMF (2022)\r\nR Programming Career Track, DataCamp (2022)\r\nData Science with R Career Track, DataCamp (2022)\r\nTrainer of Trainers, National Bank of Rwanda (2022)\r\nDockerization of ML Ops with PlumbeR API on Vetiver Cloud System\r\nFor more information on Gisa, just find his detailed CV on CV tab.\r\nCopyright © 2022 Murera Gisa. All Rights Reserved. @Powered by Distill platform\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:30:56+02:00"
},
{
"path": "gallery.html",
"title": "Gallery",
"author": [],
"contents": "\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:30:56+02:00"
},
{
"path": "home.html",
"title": "Murera Gisa",
"author": [],
"contents": "\r\n\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Home\r\n \r\n \r\n About\r\n \r\n ▾\r\n \r\n \r\n At Glance\r\n Education\r\n Career\r\n Awards&Prizes\r\n Detailed CV\r\n \r\n \r\n \r\n \r\n Publications\r\n \r\n ▾\r\n \r\n \r\n Paper and Articles\r\n Projects\r\n \r\n \r\n Blog\r\n \r\n \r\n DS Training\r\n \r\n ▾\r\n \r\n \r\n R\r\n Python\r\n Data Base\r\n Others\r\n \r\n \r\n Gallery\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n ☰\r\n \r\n \r\n \r\n \r\n \r\n Murera Gisa\r\n \r\n \r\n \r\n I am a Data scientist interested in Machine Learning\r\n DevOps, Natural Language Processing, and climate modeling\r\n for policy making. I enjoy working on the different data\r\n driven projects from ideation to the production,\r\n augmenting the dashboard in companies and Easing tasks\r\n through Package and API development.\r\n \r\n \r\n I am a Data scientist interested in Machine Learning\r\n DevOps, Natural Language Processing, and climate modeling\r\n for policy making. I enjoy working on the different data\r\n driven projects from ideation to the production,\r\n augmenting the dashboard in companies and Easing tasks\r\n through Package and API development.\r\n \r\n \r\n\r\n \r\n \r\n \r\n \r\n \r\n LinkedIn\r\n \r\n \r\n \r\n \r\n \r\n \r\n Twitter\r\n \r\n \r\n \r\n \r\n \r\n \r\n GitHub\r\n \r\n \r\n \r\n \r\n \r\n \r\n Rpubs\r\n \r\n \r\n \r\n \r\n \r\n\r\n \r\n \r\n \r\n \r\n \r\n LinkedIn\r\n \r\n \r\n \r\n \r\n Twitter\r\n \r\n \r\n \r\n \r\n GitHub\r\n \r\n \r\n \r\n \r\n Rpubs\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n\r\n \r\n \r\n \r\n ©Copyright 2022 | Murera\r\n Gisa | All Rights Reserved\r\n Website created using the Distill® for R\r\n Markdown template in RStudio®,Inc.\r\n \r\n \r\n\r\n \r\n ",
"last_modified": "2022-11-10T15:30:57+02:00"
},
{
"path": "index.html",
"title": "Blog",
"author": [],
"contents": "\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:30:57+02:00"
},
{
"path": "others.html",
"title": "AQ, Climate, and Others",
"author": [],
"contents": "\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:30:58+02:00"
},
{
"path": "projects.html",
"title": "projects",
"author": [],
"contents": "\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:30:58+02:00"
},
{
"path": "publication.html",
"title": "Untitled",
"description": "A new article created using the Distill format.\n",
"author": [
{
"name": "Nora Jones",
"url": "https://example.com/norajones"
}
],
"date": "`r Sys.Date()`",
"contents": "\r\nDistill is a publication format for scientific and technical writing, native to the web.\r\nLearn more about using Distill for R Markdown at https://rstudio.github.io/distill.\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:30:59+02:00"
},
{
"path": "Pytraining.html",
"title": "Python",
"author": [],
"contents": "\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:31:00+02:00"
},
{
"path": "RTraining.html",
"title": "R",
"author": [],
"contents": "\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:31:00+02:00"
},
{
"path": "talks.html",
"title": "Publications",
"author": [],
"contents": "\r\n\r\n\r\n\r\n",
"last_modified": "2022-11-10T15:31:01+02:00"
}
],
"collections": ["posts/posts.json", "talks/talks.json", "DataBase/DataBase.json", "Gallery/Gallery.json", "others/others.json", "projects/projects.json", "Pytraining/Pytraining.json", "Rtraining/Rtraining.json"]
}