Ms. Charlene Mariscal | Ethics in Machine Learning | Best Researcher Award

Ms. Charlene Mariscal at Bina Nusantara University, Indonesia

 Profile

Scopus Profile

Academic Background

A motivated and proactive fresh graduate with a keen enthusiasm for data and machine learning. I am a highly skilled Business Intelligence Functional Analyst specializing in data management, data integration, and dashboard development. With a proven track record of optimizing data flow from diverse sources and delivering actionable insights, I excel in driving informed decision-making within a multinational environment. I am adept at managing and training IT teams for operational excellence and passionate about leveraging data to create innovative solutions and drive business growth.

 Work Experience

Business Intelligence Functional Analyst & Data Scientist
PT. Japfa Comfeed Indonesia, Jakarta
Jan 2023 – Apr 2024
As part of a leading multinational agribusiness company, I collaborated with 11 business user divisions to translate requirements into effective technical solutions within 3 months. I maintained over 5 dashboards to enhance data flow and performance, ensuring real-time access to data. My role involved documenting 9 data integration processes and models, troubleshooting data integration issues, and implementing data quality assurance processes across 100+ tables. I deployed 4 machine learning sales forecast models in AWS Forecast and achieved 97% accuracy in predicting birds’ body weight using XGBoost Models. Additionally, I conducted research on LLM performance, comparing ChatGPT, Amazon Bedrock, and Google Gemini.

AI Researcher Intern – BRI Brain Academy
PT. Bank Rakyat Indonesia, Jakarta
Feb 2022 – Jul 2022
At one of Indonesia’s largest state-owned banks, I conducted research on bias and fairness in machine learning, improving fairness metrics by 70% while maintaining 90% performance in credit scoring models. I reduced data duplication by 30% using Excel’s conditional formatting and provided 7 fair credit scoring models with ML classifiers including Random Forest, XGBoost, and LightGBM. My role included presenting progress and results weekly to key stakeholders including the Head of AI Division and Senior Vice President of Digital Banking.

Skills & Tools

Programming Languages: SQL, Python, C++
LLMs: ChatGPT, Google Gemini, Amazon Bedrock
Data & Business Intelligence: SAP ERP, Snowflake, QlikSense, QlikView, PowerBI
Data Science: Google Cloud Platform (GCP), AWS Forecast, AWS SageMaker
Others: MS Office Suite (Word, Excel, PowerPoint) | Linguist, Attentive Learner, Initiative, Problem-solving, Teamwork

Education

Bina Nusantara University, Indonesia
Bachelor of Computer Science, 3.79/4.00
Sept 2018 – Dec 2022

Lancaster University, United Kingdom
Study Abroad Program
Oct 2021 – Dec 2021
Related Courses: Introduction to Business Intelligence & Analytics, Project Management Tools & Techniques

Achievement

Indonesian International Student Mobility Awards (IISMA) Awardee 2021
Recognized for outstanding academic achievement and participation in the IISMA Program. Selected among 2,500+ applicants from 98 universities for a fully-funded study abroad program by the Government of the Republic of Indonesia.

Certifications

Google Advanced Data Analytics Professional Certificate, Jul 2024 – Present
Google Data Analytics – Coursera, Dec 2022

Volunteer Experience

International Community Development Program – BINUS University
Aug 2022
Collaborated with 38 students from international universities to solve real-world challenges in a tourism village in Malang, East Java, Indonesia. Conducted interviews with 20+ locals, analyzed community problems, and implemented the Design Thinking process to propose practical solutions. Promoted the problem-solving idea to over 200 visitors at the project exhibition to raise public awareness of the tourism village.