Inggriani Priscilia

Customer Service Representative at Bank Mayapada Int. Tbk.
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
ID
Languages
  • English Limited working proficiency
  • Bahasa Indonesia Full professional proficiency
  • German Elementary proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
Join now
You need to have a working account to view this content.
Join now

Credentials

  • AWS Academy Graduate - AWS Academy Cloud Foundations
    Amazon Web Services (AWS)
    Mar, 2023
    - Nov, 2024
  • TSDN 2022
    Data Academy
    Dec, 2022
    - Nov, 2024
  • Data Scientist
    Kominfo
    Oct, 2022
    - Nov, 2024
  • Certificate of Competencies - Kimia Farma Big Data Analytics Visrtual Internship Experience Program
    PT. KIMIA FARMA, TBK
    Jul, 2022
    - Nov, 2024
  • Data scientist Mini Project Analyzing eCommerce Business Performance with SQL
    Rakamin Academy
    Jul, 2022
    - Nov, 2024
  • Data Science Machine Learning Specialization
    Rakamin Academy
    Jun, 2022
    - Nov, 2024
  • Excel Skilss for Data Analytics and Visualization
    macquarie university coursera
    Mar, 2022
    - Nov, 2024
  • Data Visualization in Excel
    Macquarie University coursera
    Feb, 2022
    - Nov, 2024
  • Excel Fundamentals for Data Analysist
    Macquarie University Coursera
    Feb, 2022
    - Nov, 2024
  • Excellent Grade - Kickstart Data Science Journey
    Rakamin Academy
    Jan, 2022
    - Nov, 2024
  • Python for Everybody Specialization
    University of Michigan | Coursera
    Jan, 2022
    - Nov, 2024
  • Rakamin Trial Class - Kickstart Data Science Journey
    Rakamin Academy
    Jan, 2022
    - Nov, 2024
  • Introduction to Structured Query Language (SQL)
    University of Michigan | Coursera
    Nov, 2021
    - Nov, 2024
  • Intro to SQL
    Kaggle
    Oct, 2021
    - Nov, 2024
  • google data analytics professional cerftificate
    Coursera | Google
    Aug, 2021
    - Nov, 2024
  • FSSC 22000 Version 4.1:2017 Awareness
    PT. Mutiara Mutu Katiga
    Mar, 2019
    - Nov, 2024
  • ISO 22000:2018 Awareness
    PT. Mutiara Mutu Katiga
    Mar, 2019
    - Nov, 2024
  • Surat Tanda Registrasi
    Persagi
    Nov, 2018
    - Nov, 2024
  • EFSET English Certificate 62/100 (C1 Advanced)
    EF Standard English Test (EF SET)

Experience

  • Bank Mayapada Int. Tbk.
    • Indonesia
    • Banking
    • 700 & Above Employee
    • Customer Service Representative
      • Jul 2019 - Present

      • Serving customers with effective and efficiency for their need and solve their problem clearly. • Maintaining good relationship with customers • Knowledge about the service quality and product from Bank Mayapada • Collaboration with colleague From another branch and another divison • Serving customers with effective and efficiency for their need and solve their problem clearly. • Maintaining good relationship with customers • Knowledge about the service quality and product from Bank Mayapada • Collaboration with colleague From another branch and another divison

  • BTPN Syariah
    • Indonesia
    • Banking
    • 700 & Above Employee
    • Project-Based Intern: Data Engineer Virtual Internship Experience BTPN Syariah
      • Oct 2022 - Oct 2022

      - This Data talk about customers who have a credit card before and still do. - This project want to know some customers that already have and do not want to have it again. The company want to know why their no churn. - This project want to identify the factors, Characters, Capacity, Capital, Collateral, and Condition of Customers. - This project using SQL (Microsoft SQL Server). - Average Credit limit each category of customers is different. Attrited customers has a low credit limit. - Almost 90% Exisiting Customers always get a call from bank. - Existing customners that get income $40k-$60k have the highest credit limit. It differengt from attrited Customers with income $40k have the heighest credit limit. - From this result, people who get married and graduate from school have a credit card.

  • id/x partners
    • Indonesia
    • Information Technology & Services
    • 100 - 200 Employee
    • Project-Based Intern: Data Scientist Virtual Internship Experience ID/X Partners
      • Sep 2022 - Sep 2022

      - This project to predict for credit loan. The prediction starts from previous data from 2007 until 2014. Learn about what people can get the credit loan. - 0: Rejected and 1 : approved - This dataset don't have a duplicated data and missing value will fill with median or mean or frequent. - Using label Encoding, One hot encoding and minmaxscaller. - 3 Modelling, Logistic Regression; Decision Tree; and XGBoost. - From the result, using XGBoost with 10 future importance. - This project to predict for credit loan. The prediction starts from previous data from 2007 until 2014. Learn about what people can get the credit loan. - 0: Rejected and 1 : approved - This dataset don't have a duplicated data and missing value will fill with median or mean or frequent. - Using label Encoding, One hot encoding and minmaxscaller. - 3 Modelling, Logistic Regression; Decision Tree; and XGBoost. - From the result, using XGBoost with 10 future importance.

  • Home Credit Indonesia
    • Indonesia
    • Financial Services
    • 700 & Above Employee
    • Project-Based Intern: Data Scientist Virtual Internship Experience Home Credit Indonesia
      • Aug 2022 - Aug 2022

      - This project want to get an output that customers get an approval application for their credit/loan. - This project using two dataset, application train and previous application. - 91% get a Rejected loan, 67% are Female customers, adn 92% using a Cash Loan. - Handling duplicates data, oulier and null. This project using Log Transformation, Encoding, and One Hot Coding. - Split data 7:3, Imbalance SMOTE, 12 Features, and 5 modelling. - Best modelling is Random Forest and 9 future importnace. - Business Recommendation: a. Days birth and Registration : Rejecting customers who are not in working age and long queue for apply make it fast and simple. b. Days employed and working income: Take a look how long their working and they were working at the stable income. c. Education Type : Customers with higher education, know about loans and no delays to pay. d. Online platform.

  • PT. KIMIA FARMA, TBK
    • Indonesia
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Project-Based Intern: Big Data Analytics Virtual Internship Experience Kimia Farma
      • Jul 2022 - Jul 2022

      - I learn about data Lake, data Warehouse and Datamart. Datamart is subset from Warehouse for specific purpose in every department. To build datamart, there are two schema, Star Schema and Snowflake Schema. - I know about 5V in Big data, Volume; Variety; Velocity; Veracity; and Value. - Knowlegde Data Pipeline is how to move data from storage to another storage. This data can be changed and optimization. - Learn and practice about SQL. Using SQL command: DDL (Data Definition Language), DML (Data Manipulation Language), and DC (Data Control Language). - Adding a knowledge and thinking about the interpret from the graphic with statistics. - Knowing about Data Analyst process : Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Presciptive Analytics. - Build a Dashboard from dataset 'Sale Januari until Juny 2022' using a Google Data Studio.

  • Nutritionist
    • Desa Babakan Madang, Kabupaten Bogor
    • Community Service Activity
      • Nov 2017 - Jan 2018

      • Presentation about health and nutrition for community, which in school. Public health, posyandu, and religion community • Living together with the community to be able to know the behavior and the habits of the community • Provide solution for health that can be implemented by the people living in the village • Presentation about health and nutrition for community, which in school. Public health, posyandu, and religion community • Living together with the community to be able to know the behavior and the habits of the community • Provide solution for health that can be implemented by the people living in the village

  • rumah sakit pantai indah kapuk
    • Rumah Sakit Pantai Indah Kapuk
    • Clinical Nutritionist intern
      • Sep 2017 - Oct 2017

      • Insight about food management and clinical nutrition in Hospitals • Conduct a nutrition presentation for almost 150 people for Elderly community and catering employees • Learn about doing a nutrition consultation for patient. • Provide new ideas for the one week menu, make presentations, and make proposals to make a restaurant from the food that selected by the supervising teacher from the menu that I make • Insight about food management and clinical nutrition in Hospitals • Conduct a nutrition presentation for almost 150 people for Elderly community and catering employees • Learn about doing a nutrition consultation for patient. • Provide new ideas for the one week menu, make presentations, and make proposals to make a restaurant from the food that selected by the supervising teacher from the menu that I make

  • Daily Break
    • DKI Jakarta
    • Quality Control intern
      • May 2017 - Jul 2017

      Learn how to make chocolate drink and coffee. Remember steps to make drink. Doing organoleptic to know that chocolate or coffee still can serve to customers. Learn about simple accounting and daily stock checking. Learn how to make chocolate drink and coffee. Remember steps to make drink. Doing organoleptic to know that chocolate or coffee still can serve to customers. Learn about simple accounting and daily stock checking.

Education

  • University of Indonesia
    Bachelor's degree, Foods, Nutrition, and Wellness Studies, General
    2014 - 2018
  • Rakamin Academy
    Data Science
    2022 - 2022
  • SMAK 5 PENABUR
    IPA
    2010 - 2014

Community

You need to have a working account to view this content. Click here to join now