Diego Prayudha
@diegoprayudha
Data Scientist and Machine Learning Engineer specializing in NLP and AI solutions.
IndonesiaWhat I'm looking for
I am a passionate Data Scientist and Machine Learning Engineer with a strong foundation in Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and large-scale dataset management. My expertise lies in developing and deploying AI-powered solutions, including generative chatbots using LangChain and vector databases.
In my current role at Tabel Data Informatika, I have successfully improved data processing efficiency by optimizing ETL processes for datasets exceeding 130 million records. I have also designed and implemented fraud detection models, customer segmentation algorithms, and recommendation systems that have significantly enhanced business decision-making.
Earlier, as a Data Scientist Intern at Tabel Data Informatika and ID/X Partners, I contributed to predictive model development for fraud detection and credit risk prediction. My academic background includes a Diploma in Information Systems from Telkom University, where I graduated with cum laude honors and conducted sentiment analysis using the K-Nearest Neighbors algorithm for my final project.
Experience
Work history, roles, and key accomplishments
Data Scientist & Machine Learning Engineer
Tabel Data Informatika
Jul 2023 - Present (2 years 11 months)
Developed and deployed generative chatbots using open-source LLMs, integrating LangChain with vector databases. Managed ETL processes for large datasets, designed fraud detection models, and optimized data pipelines for efficiency.
Data Scientist Intern
Tabel Data Informatika
Jan 2023 - Jul 2023 (6 months)
Assisted in data collection and migration from multiple databases using Airbyte and SQL. Built predictive models for fraud detection and created data visualizations to support data-driven decisions.
Data Scientist Intern
ID/X Partners
Oct 2022 - Nov 2022 (1 month)
Developed machine learning models to predict credit risk, optimizing model accuracy through hyperparameter tuning and analyzing both structured and unstructured data.
Education
Degrees, certifications, and relevant coursework
Telkom University
Diploma, Information Systems
2020 - 2023
Grade: CGPA: 3.81/4.0
Activities and societies: Organized university orientation programs and educational initiatives as part of the Staff Event and Creative Team.
Graduated with cum laude distinction. Final project: Conducted sentiment analysis on user reviews of an e-commerce application using the K-Nearest Neighbors (KNN) algorithm.
Tech stack
Software and tools used professionally
Availability
Location
IndonesiaAuthorized to work in
Salary expectations
Social media
Job categories
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