Open to opportunities

Diego Prayudha

@diegoprayudha

Message

Data Scientist and Machine Learning Engineer specializing in NLP and AI solutions.

Indonesia

Message

What I'm looking for

Passionate about leveraging AI and NLP to build scalable solutions. Seeking a dynamic environment that values innovation and collaborative problem-solving to drive impactful business outcomes.

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

Current

Data Scientist & Machine Learning Engineer

Current

Tabel Data Informatika

Jul 2023 - Present (1 year 10 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.

Machine Learning NLP Generative AI Data Engineering ETL Fraud Detection Python SQL Data Visualization

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 Collection SQL Airbyte Data Visualization Fraud Detection Python Metabase Teamwork Problem Solving

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.

Machine Learning Credit Risk Hyperparameter Tuning Data Analysis Python Optimization Teamwork Problem Solving

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.