About Me
A fresh graduate with a degree in Computer Science. Have an interest and ability in the field of data science, data analytics, and business analysis. Passionate about machine learning development and data visualization. Hard working, great curiosity, strong analysis and love to work and exchange ideas in teamwork.
Data Driven People
An enthusiast learner who has a huge interest in data science and data analytics.
- Email: insancs@gmail.com
- Phone: +6285******213
- Degree: Bachelor's
- City: Jakarta, Indonesia
Have a disciplined, responsible, reliable personality, high desire to learn, high curiosity, likes to learn new things. Love to do research and experiment as well as provide insights through data to solve problems. Passionate in working with a progressive and cooperative team.
Skills and Tools
Resume
Education
Bachelor of Information System
2016 - 2020
ARS University
- GPA 3.91 from 4.00
- Recipient of 2018 and 2019 Jabar Future Leaders Scholarship
- Recipient of 2020 The Best Skripsi of the Faculty of Information Technology.
FullStack Data Science Bootcamp
Oct 2021 - Present
Data Bangalore Indonesia
I joined and learned about data science at Data Bangalore Indonesia. Learn about Python, Data Preprocessing, Data Visualization, Statistics, Machine Learning, SQL, Deep Learning, Image Processing, Natural Language Processing (NLP).
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Data Science Bootcamp
Nov 2021 - Present
Shift Academy
Data science lessons for every week. Doing homework and hands-on. So far, learning about SQL, Python Fundamental, Python Libraries, Git, Data Visualization ,Statistics, Machine Learning.
Professional Experience
IoT Developer Intern
Feb - Apr 2019
Population and Civil Registry Office of Bandung
- Conduct monitoring system research according to client needs.
- Created temperature and humidity monitoring system.
- Successfully developed temperature and humidity monitoring system.
Training
Portfolio
- All
- Machine Learning
- Visualization
- Analysis
From Medium
Latest Articles
Support Vector Machine : SVM Implementation using Python
The Support Vector Machine is a multifunctional machine learning model that can be used to solve regression, classification, and outlier detection problems. Included in the supervised learning category, SVM is one of the most popular methods in machine learning.
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Dimensionality Reduction : Principal Component Analysis Implementation using Python
In the development of machine learning, the selection of a good dataset will certainly have an impact on the performance of the model that we will create. There are many datasets available for our use, both public data that we are free to use and personal data used by every company.
Read More
Mari Mengenal Python, Bahasa Pemrograman Populer untuk Data Science
The information technology is currently experiencing very rapid progress. Many companies use technology to facilitate the company's activities in solving a problem. Data science itself is a field of study that can be used to solve problems in companies, especially by using data collection.
Read More