Agus Abdul Rahman
About Me
Hi, my name is Agus Abdul Rahman, and I am a recent graduate in Electrical Engineering with a passion for data-driven solutions. I have experience in data analysis, machine learning, and project management, and I am skilled in data engineering, predictive analytics, and data visualization.
During my internships, I have completed projects in facial recognition, credit scoring, and customer segmentation. I have developed a credit scoring model with logistic regression algorithms that achieved 99.73% accuracy in loan decisions and built an ML facial recognition system that can detect mood and suggest songs accordingly. I have also identified factors causing credit payment delays and created data modeling and Entity Relationship Diagram (ERD) for credit card customer data.
My career aspiration is to become a successful Data Scientist and Engineer, and I am interested in opportunities that allow me to work on challenging projects, utilize my skills and experience, and contribute to a dynamic team. I am proficient in tools such as Python, SQL, TensorFlow, Keras, Tableau, Google Cloud Platform (GCP), Spark, MySQL, and PostgreSQL.
I am a certified IBM Data Scientist, Cloud Computing, and Big Data on GCP, and I have completed relevant coursework in Artificial Intelligence (AI), System Mobile, and Digital Image Processing. My soft skills include communication, problem-solving, analytical thinking, and teamwork.
If you are looking for a passionate and skilled Data Scientist and Engineer to join your team, I would love to discuss further how I can contribute to your company’s success. Thank you for considering my application.
Education
Universitas Garut
• Concentration in Telecomunication and GPA 3.48 / 4.0
Work & Experience
Data Business Analysis & Operation
Ruangguru
• Intensive 6 Month of studying Business, Statistic, SQL, Python, Project management Tech, Communication & Presentation • Worked collaboratively with a team of three using JIRA for project management. • Identified opportunities to improve company performance through data analysis. • Creating Dashboard with Tableau about HR, Product, Marketing
Project Base Intern Data Engineer
BTPN Syariah
• Identified factors causing credit payment delays using customer data and T-SQL. • Created data modeling and Entity Relationship Diagram (ERD) for credit card customer data. • Conducted data exploration with PostgreSQL and presenting the results in visualizations using Tableau.
Data Scientist Intern
LetsGrowMore
• Conducted analysis on customer feedback from 2 sources, identified 10 insights, and opportunities for improvement. • Built an ML facial recognition system to detect mood and suggest songs accordingly. • Developed a neural network using TensorFlow that can read handwritten digits with an accuracy of 95%. • Developed a decision tree algorithm for predicting the likelihood of next year's work. • Created a Python script to convert an image to a pencil sketch using OpenCV.
Project Base Intern Data Scientist
Home Credit
• Conducted data analysis on an applicant loan dataset using Python and SQL, identifying key factors for loan approval. • Developed a credit scoring model with logistic regression algorithms for 99.73% accuracy in loan decisions. • Presented findings and insights to stakeholders and provided recommendations for action
