Jakarta, Indonesia
A Statistics graduate from the University of Brawijaya, I have experience as a Data Analyst Intern at PT Allo Bank Indonesia Tbk, PT Kreasi Media Asia (Insignia), and Indonesian Chamber of Commerce and Industry, Product Owner (Data) Intern at PT Pratesis, IT Business Analyst Intern at PFI Mega Life Insurance, Machine Learning Cohort at Bangkit Academy By Google, GoTo, Traveloka, Product Project-Based Big Data Analytics at PT Kimia Farma, and Lecture Assistant at Brawijaya University. Through these roles, I have gained extensive knowledge in cultivating essential, analyzing extensive datasets, applying non-parametric techniques, regression Analysis, customer relationship development, and providing excellent customer. I am strongly passionate about applying statistical methods and tools to real-world problems. I have actively engaged in various organizations and community actions, developing an analytical and responsible approach to every task I undertake. Through these experiences, I have acquired and enhance my core competencies in time management, analytical skills, and problem solving. I hope to expand my expertise by doing an internship that will allow me to apply and improve my skills in a real-world setting, and contribute to the success of the organization. I am eager to learn from professionals and collaborate with diverse and talented teams. Connect with me for collaborations in the realm of statistics, data analytics, and beyond. • Tools : Microsoft (Office, Excel, Power Point), Python, Rstudio, MySQL, Gretl, IBM SPSS, Minitab, Power BI, Tableau, PostgreSQL, Google Service (Slide, Docs, Form, Spreadsheet, Trend, Analytics, Cloud) • Soft skills: Analytical Thinking, Problem Solving, Adaptive, Data Driven, Decision Making, Adaptive, Able to work collaboratively within a team, Effective communication skills, Data Science, Data Analysis, Data Visualization, and Continuous learning Core Competencies : • Data Analyst • Data Scientist • Business Analyst • Product Management (Data)
● Conducted weekly analysis on sales data involving 4 key metrics - Approval, Incoming, Approval Rate, and Active Sales using Microsoft Excel. ● Built and maintained 3 interactive dashboard reports using Looker Studio, enabling real-time monitoring of sales trends and boosting report accessibility by 40%. ● Monitored and analyzed over 1000 Paylater transactions per month to identify spending patterns, supporting enhanced risk assessment and product development strategies.
● Leveraged the E-Commerce Public Dataset to craft analyses using Google Colab and developed interactive dashboards using Streamlit ● Completed 10+ online courses on programming and data analysis from leading platforms like Coursera and Dicoding to enhance proficiency in the field ● Deepened proficiency in 9+ data analysis tools, including Python, SQL, Matplotlib, Seaborn, Pandas, NumPy, Jupyter Notebook, Google Colab, Microsoft Excel (including VLOOKUP and Pivot functions), and Tableau, with a comprehension level exceeding 90%