Daniel Sethio Email & Phone Number

Jakarta, Id

Jakarta, Indonesia

Developed machine learning models and analytics platforms for customer 360, profitability, and segmentation.

Jakarta, Indonesia

Developed first- and second-order Markov chain, Auto-Arima, and deep-learning models to predict cyber threat frequencies of upcoming months.- Cleaned and prepared a large dataset consisting of 6,856 cyber threat entries for machine learning models.- Conducted statistical analysis to identify patterns in cyber threat frequencies.- Developed the best-performing deep learning models, resulting in 91% accuracy in predicting cyber threat frequencies.

Stockholm, Stockholm County, Sweden

Develop machine learning methods to detect early dementia.

Uppsala, Uppsala County, Sweden

As a researcher at Ångström Laboratory, my role in the Battery2030+ project encompasses project management, effective results communication to peers, and writing reports. Additionally, I have:- Conducted in-depth data analysis on large datasets, utilizing Python for data manipulation and statistical analysis.- Collaborated with a team of Python developers to develop and implement an automation workflow using Python, resulting in a high-throughput workflow from input to data analysis for large datasets.- Communicated results to the research team, contributed to the interpretation of the data, and wrote reports.Research focuses: Modeling the solvation structures of liquid electrolytes and the decomposition reactions of electrolytes on the positive electrode of Lithium-ion Battery.Side Projects: Data analysis and statistical learning on hydrogen bonds in bulk materials (ices), surfaces, and liquids is a key focus of our research. We are currently exploring descriptors to effectively characterize the properties of hydrogen bonding systems.

Stockholm, Stockholm County, Sweden

As a visiting researcher at KTH, my involvement has encompassed project management, delivering presentations, and enhancing the automation of workflow to reduce manual effort and improve efficiency.Research focuses: Photoswitchable halogen-bonded complexes

Uppsala, Sweden

As a postdoctoral researcher in the Department of Chemistry - BMC at Uppsala University, I have been involved in:- Developing and implementing statistical analyses utilizing machine learning algorithms to enhance the interpretability of project results.- Collaborating with cross-functional teams to ensure data integrity and accuracy.- Generating comprehensive reports and visualizations to present technical findings to collaborators and contributing to manuscript writing.Research focuses: Halogen-bonded complexes and Machine Learning to accelerate SCF cycle convergence.

United States

As a postdoctoral researcher in Dallas, United States, I have been involved in:- Analyzing complex data sets and providing valuable insights.- Contributing to the automation workflow, reducing manual effort, and improving work efficiency.- Presenting project findings at conferences and publishing research papers in peer-reviewed journals.Research focuses: Weak interactions and Chemical Reactions

University Of Geneva

During a four-year research-intensive setting at the University of Geneva, Switzerland, I have been trained to formulate and troubleshoot problems as well as provide solutions. Additionally, I have been involved in:- Generating comprehensive spectroscopic datasets.- Conducting in-depth data analysis and creating data visualizations.- Presenting project findings at conferences and publishing research papers in peer-reviewed journals.Research focuses: Spectroscopic properties of Boron-Hydrogen compounds, Alkaline-earth fluorohalides, and spectroscopic properties of rare-earth elements.

Jakarta, Indonesia

As a financial consultant at an investment company, I have gained experience in managing client assets and effectively communicating investment strategies.- Performing market analysis, giving strategies and suggestions to the clients- Performing risk analysis, minimizing asset loss.

Leuven, Flemish Region, Belgium

As a project student at the Catholic University of Leuven, Belgium, I have gained valuable experience in Python programming, workflow automation, and data analysis and data visualizations.Research focus: Spin crossover complexes

Doctor Of Chemistry (Ph.D.), Computational Modeling

A four-year research-intensive setting with a lot of emphases on python programming, troubleshooting, problem-solving, data analysis.

Master Of Science (M.Sc.), Theoretical Chemistry And Computational Modelling (Tccm), 7/10

A comprehensive two-year master's program with a strong emphases on programming, data analysis, and visualizations.

Master Of Science (M.Sc.), Physical Chemistry, Cum Laude

As part of the Honor program, which allowed me to complete both my bachelor's and master's degrees in 5 years, I developed comprehensive.

Bachelor Of Science (B.Sc.), Chemistry, Cum Laude

As part of the Honor program, which allowed me to complete both my bachelor's and master's degrees in 5 years, I developed comprehensive.