About Me

Computer Science undergraduate student with 1.5 years of experience in AI, Frontend Development, and Data Science. I have a keen interest in Data Science & Analysis with any learning platform. I have proven my track record by completing a Capstone Project in the MBKM program, Junior Data Scientist Certificate of Competence, and other projects to get certified. Highly organized, efficient, disciplined, detail-oriented & eager to learn new things.

Education

Bhayangkara University, Greater Jakarta

Informatics Engineering Aug 2020 – Oct 2024 GPA: 3.57/4.00

Field of Interest: Data Scientist, Data Analyst

Relevant Courses:

Calculus I (A) Data Structures & Algorithms (A-) Linear Algebra (A-) Database Systems (A) Numerical Analysis (A) Discrete Structures (B) Database Design (A-) Statistics and Probability (B) Data Mining (B+) Big Data (A) Natural Language Processing (A-) Deep Learning (A) Smart Business (A) Pattern Recognition (A) Artificial Intelligence (A) Introduction to Information Technology (A)

Experience

Junior Data Scientist
Professional Certification Institute
1 – 2 Aug 2024
  • Able to collect data from various sources efficiently and accurately. Expert in data cleaning techniques to ensure dataset quality and consistency. Master data analysis methods to extract meaningful insights.
  • Implement strict data validation procedures to ensure the integrity of results.
  • Proficient in identifying and defining relevant data objects for analysis.
  • Skilled in building structured datasets that are ready for modeling. Experienced in classifying and labeling data for machine learning purposes.
  • Able to build predictive and descriptive models using various machine learning algorithms.
  • Expert in evaluating model performance and making adjustments to optimize results.
MSIB 6 - Data Science and Analytics
PT. Group Talent Partners
Feb 2024 - Jun 2024
  • Data analysis using complex SQL (Select, Join, Aggregate, CTE) in PostgreSQL, query optimization and query plan analysis, and Exploratory Data Analysis (EDA) using DBeaver. Data Warehouse design and implementation.
  • ETL uses Pentaho for cleansing, standardization, and data transformation.
  • Deep understanding of OLTP vs OLAP concepts, dimensions, measures, and fact tables.
Data Science Explorer
ASEAN Foundation & SAP
Aug 2023 - Nov 2023
  • Mastering data science concepts and their application in overcoming organizational challenges at national and international levels.
  • Actively participate in programs to increase data literacy for ASEAN youth through training, workshops, and data science competitions sponsored by SAP.
  • Proficient in using SAP Analytics Cloud to analyze data and provide innovative solutions related to socio-economic issues in ASEAN, in line with the UN Sustainable Development Goals.
  • Develop data-based recommendations to support health, quality education, gender equality, decent jobs, economic growth and sustainable infrastructure development.

Organization

Leadership Academic Department Staff

BEM Faculty of Computer Science
Sep 2022 – Oct 2023
  • Assist department heads in planning, organizing, and implementing Student Management Skills Training (LKMM) and Basic Student Leadership Training (LDKM) programs.

Ubhara (Kimura) Islamic Family Members

Student activity units
Jun 2021 – Aug 2022
  • Supporting the spiritual and social development of Islamic students on campus.
  • Take part in organizing social events and charity activities to help local communities and strengthen solidarity in togetherness during the holy month of Ramadan.

Training

Big Data Certification

Alibaba Cloud & HiColleagues
29 – 31 Jul 2024
  • Understand variables, data types, mathematical operators, and string functions using Python and SQL.
  • Perform data cleaning by detecting duplicate data, managing missing values, and implementing dropping techniques for incomplete data.

Bootcamp Data Analytics

Data Quotient Laboratory (DQLab)
21 – 27 Jun 2024
  • Manage monthly sales data by identifying, sorting, and analyzing sales data from highest to lowest using Excel.
  • Implement database access and manipulation using SQL by designing entities and relationships between entities.
  • Identify and implement libraries, components, and frameworks required for data analysis.

Field of Data Science and Analytics

Microsoft Learning Path
May 2023 – Jun 2024
  • Understand data science research methods using Python, as well as implementing predictive analytics with Spark on Azure HDInsight.
  • Develop skills in data engineering using Azure Databricks and Synapse Apache Pools.
  • Master data visualization with Power BI, from creating and managing workspaces to implementing advanced analytics.

Database Programming

Faculty of Computer Science
1 – 3 Feb 2024
  • Implementing user interfaces, analyzing software scalability, and implementing applicable information security standards.
  • Analyzing the impact of changes to applications and carrying out software configurations according to the environment.

Skills

Technical Skills

Python SQL Machine Learning Data Analysis Data Visualization Big Data Deep Learning

Soft Skills

Communication Critical Thinking Time Management Problem Solving Leadership Discipline Lifelong Learner