Nur Wahyu Melliano Hariyanto
@nurwahyumh
Data Analyst with a passion for data-driven decision making.
What I'm looking for
I am a dedicated Data Analyst with over a year of experience at VIO Indonesia, where I manage and analyze data across various company divisions. My journey in data analysis began with a strong educational foundation in Informatics Engineering from Universitas Brawijaya, where I graduated with a GPA of 3.63. I have also honed my skills through various virtual internships, gaining insights into Business Intelligence, Data Engineering, and Data Science.
My passion lies in exploring data and creating technological solutions that support strategic decision-making. I have participated in multiple projects, including the Human State & Activity Recognition (HEAR) study, which utilized Machine Learning and Deep Learning to analyze brain activity and student emotions. I am eager to leverage my skills and experiences to contribute to innovative data-driven projects.
Experience
Work history, roles, and key accomplishments
Data Analyst
VIO Indonesia
Nov 2023 - Present (1 year 6 months)
Responsible for managing and analyzing data from all company division areas. This role involved comprehensive data oversight to support strategic decision-making.
Database Inputter Internship Program
Blue Agency
Jan 2023 - Jul 2023 (6 months)
Participated in a Work From Home Internship focused on Food and Beverage promotion. Carried out the task of entering partner company data into the Blue Agency database.
Human State & Activity Recognition (HEAR)
Universitas Brawijaya
May 2023 - Jul 2023 (2 months)
Conducted research on Human State and Activity Recognition (HEAR) studying Brain Activity and Stimulus during student study. Developed emotion detection using Machine Learning and Deep Learning approaches.
Intelligent Safety Driving Detection System (ISDDS)
Universitas Brawijaya
Aug 2022 - Jul 2023 (11 months)
Conducted research on Intelligent Safety Driving Detection System (ISDDS) studying Driving Safety from the driver's perspective. Developed driving safety detection using Machine Learning and Deep Learning approaches.
Business Intelligence Analyst Virtual Internship
Bank Muamalat
Nov 2022 - Nov 2022 (0 months)
Participated in a Virtual Internship through Rakamin Academy, a digital Bootcamp provider. Learned about the competencies needed by a Business Intelligence Analyst and how Bank Muamalat applies this knowledge.
Data Engineer Virtual Internship Program
BTPN Syariah
Sep 2022 - Sep 2022 (0 months)
Participated in a Virtual Internship through Rakamin Academy, a digital Bootcamp provider. Learned about the tools used when working as a Data Engineer in BTPN Syariah.
Fresh Graduate Academy Big Data Using Python
Digital Talent and KOMINFO
Jul 2022 - Aug 2022 (1 month)
Participated in academy programs organized for Fresh Graduates. Learned about the steps involved in performing analysis in Python on large and complex data.
Data Scientist Virtual Internship Program
Home Credit Indonesia
Aug 2022 - Aug 2022 (0 months)
Participated in a Virtual Internship through Rakamin Academy, a digital Bootcamp provider. Learned about how to work as a Data Scientist at Home Credit Indonesia.
Data Scientist Virtual Internship Program
ID/X Partners
Jun 2022 - Jun 2022 (0 months)
Participated in a Virtual Internship through Rakamin Academy, a digital Bootcamp provider. Learned about how to deal with problems, case studies, and projects that are the daily routine of a Data Scientist in ID/X Partners.
The NextDev Digitalent Academy Project
Telkomsel
Apr 2022 - Apr 2022 (0 months)
Created a website to detect levels of stress, anxiety, and depression. Implemented Machine Learning methods for the detection system.
The NextDev Digitalent Academy
Telkomsel
Jan 2022 - Apr 2022 (3 months)
Participated in an online Bootcamp held by The NextDev Digitalent, a digital institution formed by Telkomsel. Learned about Front-End Website development and Data Science.
Student Scientific Writing Competition
Universitas Brawijaya
Aug 2021 - Aug 2021 (0 months)
Participated in a scientific writing competition in the field of Science and Technology. Implemented the Machine Learning method and won 2nd place with a paper on predicting COVID-19 patients and economic growth.
Education
Degrees, certifications, and relevant coursework
University of Brawijaya
Bachelor of Science, Informatics Engineering
Grade: 3.63/4.00
Activities and societies: Hactiv8 Introduction to Python for Data Science; Dicoding Start Programming with Python, Basic Learning Data Visualization; DQLab Fundamental SQL Using SELECT Statement, R Fundamental for Data Science, Python Fundamental for Data Science.
Studied Informatics Engineering with a specialization in Artificial Intelligence. Gained comprehensive knowledge in computer science, including programming, data structures, and algorithms.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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