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NAMA LENGKAP KAMU [email protected] | +628123456789 | linkedin.com/in/kamu
EDUCATION Sept 20xx – Sept 20xx Sepuluh Nopember Institute of Technology GPA: 3.xx Relevant coursework: Mathematic Statistics, Sampling Techniques, Statistical Consulting, Data Analysis, Computer Programming, Statistic Computation, Data Mining and Machine Learning Scholarship: Karya Salemba Empat 2017/2018, READI Waterloo University Canada 2018/2019 Organization: Secretary of Entrepreneurship HIMASTA ITS 2019/2020, Staff of External Relation KSE-ITS 2017/2018, Staff of Entrepreneurship HIMASTA ITS 2017/2019 EXPERIENCE
Bachelor of Statistics
Data Scientist Student
Digital Talent Scholarship Kominfo
Sept 2020 - Oct 2020
Learn about Data Science Methodology and Tools, IBM Watson Studio, SQL and Database, Data Preparation and Analysis, Data Visualization, Data Modeling, Machine Learning & Deep Learning Data Analyst Intern
SDGs Research Center ITS, Surabaya
Jan 2020 - Jul 2020
o Analyzed data use statistics modelling and created insight based on best methods o Evaluated the number of recovery patients based on the number of positive COVID-19 patients Data Scientist Intern
BMKG, Jakarta
Jul 2019 - Aug 2019
Achieved RMSE 3.36 on transfer function time series analysis and time series regression by building prediction model from landslide event and rainfall event use Excel, SAS and R Studio Assistant Lecturer
Statistical & Actuarial Department, ITS
Jan 2019 - Jul 2019
o Mentored “Statistical Computation”, “Computer Programming”, and “Introduction to Computer Science” use Microsoft Excel and R Studio software at Statistics department o Mentored "Actuarial Computation" use R Studio software at Actuaria department ACHIEVEMENTS/ORGANIZATION/COMMITTEE Grand Finalist of SPSS with Traveloka in Binus University (National) Nov 2019 Predict classification of the number of inactive Traveloka users and give recommendations to increase the number of active users. Top 10 teams from hundred participants Finalist of Sebelas Maret Statistic Olympiad in UNS (National) Oct 2019 Got R-square 95.4% of regression model and identified factors which affect the amount of poverty, also give recommendations to decrease poverty. Top 10 teams from hundred participants Another Achievements: Semifinalist Olimpiade Nasional Statistika in UGM 2020, Finalist Pekan Analisis Statistika in Mulawarman University 2019, Semifinalist Dokter Data in Diponegoro University 2019, Finalist KSN in IPB 2018, Semifinalist National Science Competition in UB 2018 PROJECTS Classification - Digitalent Project Classification with Python to classification cardiovascular disease using kNN, Logistic Regression, Random Forest and SVM https://github.com/xxxxx Regression & Forecasting - Thesis
Oct 2020
June 2020
Build ARIMAX, Deep Learning Neural Network & hybrid model to predict inflow and outflow by considering tren & calendar variation in Central Bank https://github.com/xxxx SKILLS Tools: R Studio, Python, Excel, SPSS, SQL, SAS, SQL and Tableau Soft Skills: Communication, Critical Thinking, Teamwork, Creative