Bayu Setia Ismawandani

Education

Professional Experience

• Designed a model performance monitoring system for the 'Corrosion Predictive Analytics System' project using Grafana, analyzed six years of historical corrosion rate data, and provided daily updates to compare actual and predicted data on pipeline corrosion levels in oil fields for continuous model improvement.
• Developed an automated system to detect signals indicating the presence of oil sources in seismic data in hdf5 and h5 files using image recognition techniques such as masking and bounding box, achieving an average accuracy rate exceeding 95%.
• Implemented advanced automation scheduling techniques using cronjob and Docker, resulting in a 25% increase in team efficiency by automating daily tasks, saving up to one hour per day.

• Spearheaded an AI-driven stock price prediction widget for the Finance AI project, utilizing sentiment analysis and time series analysis with DeepLearning and TensorFlow to achieve over 95% accuracy and improve prediction accuracy by 20%.
• Analyzed sentiment from 3000+ news articles across databases like Google Sheets, Microsoft Excel, and GitHub, delivering actionable insights and enabling users to view article sentiment within 10 seconds.
• Led project management using Kanban methodology and Google Sheets, ensuring efficient task tracking and collaboration.
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• Showcased effective data analysis skills to maintain the database system and gain actionable insights, identifying specific trends in demand fluctuations and adjusting stock levels to reduce stock shortages and surpluses by 50%.
• Utilized the Microsoft Office suite (Excel, PowerPoint, Word) to generate monthly growth visualization reports, improving team operational efficiency by 2 times.

• Effectively taught around 38 new students various Statistical Data Analysis Methods, such as Regression Analysis, Time Series Forecasting, Gap Analysis, Supply Chain Management, Topic Modelling, Natural Language Processing (NLP), Clustering Analysis, and others using statistical software such as SPSS, SAS, Minitab, R Studio, and MySQL.
• Showed commitment to continuous improvement by actively participating in weekly team meetings for discussions with other teaching assistants.

Projects

• Projects

Organizational Experience

• Demonstrated teamwork and problem-solving skills by coordinating with a team of 5 individuals to develop a comprehensive technical strategy for a statistical competition.
• Exhibited efficiency and organization by managing the online registration process for over 200+ participants.

• Effectively promoted the event to middle school students nationwide, significantly boosting event participation.
• Exceeded the target of 40 registered teams by registering and coordinating a total of 75 teams.

Volunteer Experience

• Partnered with a diverse team to execute a 7-day-long online campaign, delivering uplifting messages and fostering hope.

• Organized and led the property and logistic team for B3ST Charity, a day-long charity event at orphanages, nursing homes, and other groups in need.

Awards

• Top Tier Bangkit Academy 2023 Batch 2 Graduate (2024).
• Best 50 Short Stories by READERZEN Publisher (2022).
• Top 2 Best Scientific Paper Idea (2019).

Publication

• Understanding Indonesian Public Sentiments Towards Disasters: A Topic Modeling Approach Using Twitter Data – Elsevier.

Certifications

• TensorFlow Developer Certificate • issued by TensorFlow in May 2024 and valid until May 2027.• Google Data Analytics Specialization • issued by Coursera in October 2023 with no expiry date.• Machine Learning Specialization • issued by Coursera in October 2023 with no expiry date.• Mathematics for Machine Learning and Data Science • issued by Coursera in September 2023 with no expiry date.• DeepLearning.AI TensorFlow Developer • issued by Coursera in October 2023 with no expiry date.• TensorFlow: Data and Deployment • issued by Coursera in October 2023 with no expiry date.

Skills

• Data Analysis: Data Visualization (Google Data/Looker Studio, Power BI, R Shiny, Tableau), Statistical Analysis, Regression Analysis, Forecasting/Time Series Analysis, Gap Analysis, Supply Chain Management.
• Programming: Python, R, SQL, SQL Alchemy, JavaScript, Git.
• Machine Learning: Deep Learning, Topic Modelling, Sentiment, Clustering, TensorFlow, Image Recognition.
• Tools: Docker, Databases (Google BigQuery, SSMS, MySQL, PostgreSQL, Excel VBA/Macro, Google Sheets), Grafana, MLFlow, FastAPI, Microsoft Office (Excel, PowerPoint, Word), Project Management Tools (Kanban, Trello, Notion, etc.), AI Tools (ChatGPT, Google Gemini, Framer, etc.), Google Cloud Platform (GCP), Microsoft Azure.

Languages

• Bahasa Indonesia (Native)
• English (Fluent/Professional)
• Malay (Fluent/Professional)