Experience

Purwadhika Digital Technology School

• Indonesia
• Professional Training and Coaching
• 1 - 100 Employee

• Data Science Lecturer

  • Apr 2023 - Present

  - Worked as the youngest data scientist lecturer, teaching students about data science and its applications - Developed and implemented curriculum, lesson plans, and assessments - Mentored students in research projects, resulting in several successful student research publications and portfolios - Coordinated with the training company to tailor training programs to meet specific needs and objectives - Worked as the youngest data scientist lecturer, teaching students about data science and its applications - Developed and implemented curriculum, lesson plans, and assessments - Mentored students in research projects, resulting in several successful student research publications and portfolios - Coordinated with the training company to tailor training programs to meet specific needs and objectives



id/x partners

• Indonesia
• Information Technology & Services
• 100 - 200 Employee

• Data Scientist Intern

  • Jan 2023 - Mar 2023

  - Completed assignments based on real-life cases by utilizing loan data from a bank between 2007 and 2014. - Developed a machine learning model to predict loan defaults that helped reduce bank losses by rejecting bad customers. - Achieved an accuracy rate of 97.2% in predicting loan defaults using the F1 score metrics with the XGBoost classifier. - Completed assignments based on real-life cases by utilizing loan data from a bank between 2007 and 2014. - Developed a machine learning model to predict loan defaults that helped reduce bank losses by rejecting bad customers. - Achieved an accuracy rate of 97.2% in predicting loan defaults using the F1 score metrics with the XGBoost classifier.



Contong Sakti Indonesia Group

• Indonesia
• Business Consulting and Services

• Data Scientist

  • Oct 2022 - Nov 2022

  - Collaborated with the campaign team to provide recommendations on narrative topics that could increase public discussion with positive sentiment about an issue. This helped the client save money in paying people to share opinions that are in line with public opinion. - Conducted regular data scraping of Twitter using a few keywords to gather relevant data for analysis. - Developed a machine learning model for sentiment analysis using the Logistic Regression Method, achieving an accuracy level measured by an F1 score of 87%. - Our recommendation led to a 40% increase in organic positive tweets for the client, demonstrating the effectiveness of our analysis and strategies. Show less



PT Strategic Future Indonesia

• Jakarta, Indonesia

• Assistant Consultant

  • Jan 2021 - Oct 2022

  - Successfully solved problems related to analyzing the main constraints of MSMEs in three ASEAN countries (Indonesia, the Philippines, and Vietnam) by identifying the main problems of MSMEs that had been previously overlooked, focusing on consistency and accessibility instead of just capital. - Worked collaboratively with cross-functional teams across multiple ASEAN countries to analyze MSMEs in each country and develop effective solutions to the identified problems. - Supervised and evaluated the work of 4 junior partners, enabling them to complete their assigned tasks on time every month. - Contributed to knowledge sharing and thought leadership within the field of technology by writing several articles published on the company's website. Show less



Captain Hub

• Indonesia
• Market Research

• Founder and Chief Technology Officer

  • Jun 2020 - Dec 2020

  - Developed an innovative content strategy by utilizing data analysis techniques. - Created a machine learning model using the Random Forest Model to predict the popularity of an Instagram account with an accuracy level of 78.2% measured by R-Square. - This model enabled the client to estimate the increase in engagement that they could obtain on Instagram. - Provided insightful analysis to the team on the key features that affect the popularity of an Instagram account, such as the average number of posts per month, profile photo, biography with links, non-photo posts (carousel or video), and the optimal number of hashtags (11 hashtags). - The results of this analysis allowed companies to provide more effective social media management, resulting in an average increase in popularity of the client's Instagram account by 5% per month. Show less



Total Politik

• Indonesia
• Online Audio and Video Media
• 1 - 100 Employee

• Digital News Writer

  • Jan 2019 - Dec 2019

  - Conducted regular Twitter data scraping with several keywords for news article purposes. - Developed a machine learning model for sentiment analysis using logistic regression method, achieving an accuracy level of 83% measured by F1 Score. - The output of the sentiment analysis model provided more diverse articles for the Total Politics website. - Conducted regular Twitter data scraping with several keywords for news article purposes. - Developed a machine learning model for sentiment analysis using logistic regression method, achieving an accuracy level of 83% measured by F1 Score. - The output of the sentiment analysis model provided more diverse articles for the Total Politics website.