Résumé

Ednalyn C. De Dios, a.k.a. “Dd”
(210) 236-2685
ednalyn.dedios@gmail.com

CAREER PROFILE

Over ten years of management experience. Five years of data science experience in various industries, including FinTech/BPO, pharmaceuticals, and tech. CompTIA A+, Project+, and Network+ certified.

CAREER HIGHLIGHTS

5+ years of experience in data science with a focus on AI/GenAI (LLMs), machine learning, and natural language processing (NLP). Proficient in Python, SQL, and Power BI for data analysis, processing, development, implementation, and monitoring of machine learning projects and generative AI solutions. Worked in AWS and Azure. Familiar with GCP, MLOps and DevOps practices. Able to work collaboratively in a fast-paced, dynamic, remote environment, balancing multiple projects and deadlines. Translated business problems into technical solutions. Expertise in explaining complex concepts to non-technical stakeholders. Delivered actionable insights to internal and external clients.

TECHNICAL SKILLS

Python – SQL – NoSQL – Power BI – Tableau – Natural Language Processing – Spacy – NLTK – GSDMM – LDA –ETL – EDA – Machine Learning – Git – Jupyter Notebooks – Visual Studio Code – Pandas – Numpy – Matplotlib – Seaborn – Scikit Learn – XGBoost – Visualization– OCR – Streamlit – AWS – Azure – GCP – Project Management – LLM – OpenAI – LangChain – Prompt Engineering – RAG – Vectorization and Embedding – Knowledge Graphs – LangGraph

PROFESSIONAL EXPERIENCE

Machine Learning Engineer
Intellivo

Present.

Fractional Data Scientist
Independent Consultant

Provided project-based expertise, analyzing data, building models, and delivering insights to help businesses and organizations solve complex challenges.

Machine Learning Engineer
Microsoft (Insight Global)

Developed, deployed, and troubleshooted machine learning and AI systems, resolving over 200 client cases. Collaborated with stakeholders to optimize the performance and reliability of machine learning models, generative AI, and LLM-based solutions in enterprise and production environments.

Increased productivity by 14% by identifying and troubleshooting complex problematic issues and reporting discrepancies in clients’ machine learning systems and generative AI use cases.
Stayed current with evolving practices regarding generative AI and frameworks such as LangChain and Semantic Kernel for GPT 3.5 (ChatGPT) and other LLMs.

Machine Learning Engineer
Merck (Insight Global)

Implemented automation solutions utilizing OCR and NLP techniques on Python, AWS, and UiPath platforms. Transformed large unstructured datasets into structured business documents to improve operational efficiency.

Increased productivity by 20% by designing and developing data science products using computer vision, natural language processing, robotics process automation, machine learning (ML), and artificial intelligence (AI).
Kept up to date with current developments in generative AI such as InstructGPT LLM.

Senior Associate Data Scientist
TaskUs

Led data-driven initiatives across multiple campaigns, utilizing NLP techniques to derive actionable insights. Designed and deployed end-to-end data pipelines on AWS, enhancing data accessibility, operational insights, and gaining competitive advantage.

Improved the NPS (net promoter score) by 10-20 percent, CSAT (customer satisfaction) by 20-30 percent, and FCR (first call resolution) by 10-15 percent of 200+ campaigns.
Increased productivity by as much as 50% by designing and developing data science products and models using computer vision, natural language processing, robotics process automation, machine learning (ML), and artificial intelligence (AI).
Stayed abreast of current developments in generative AI such as GPT 2 LLM.

IT Director
Aware Central Texas

Increased productivity of staff members and volunteers while serving as Chief Information Director. Established the agency’s domestic violence ‘Crisis to Confidence’ program as the Family Violence Unit Director in a child abuse prevention agency.

RECENT DEVELOPMENT PROJECTS

Medium article – Make sense of unstructured data: Retrieval-augmented generation using knowledge graphs.

RAG on AWS: Retrieval-augmented generation using Amazon Textract, Amazon Bedrock, Amazon Kendra, and LangChain to implement an intelligent document processing system.

RAG on Local LLM Chatbot: Implemented retrieval-augmented generation using local large language models to demonstrate how a recruiter or an HR personnel can benefit from a chatbot that answers questions regarding candidates. Used Ollama, LangChain, and Streamlit to deploy.

GenAI-Powered NLP: Used LangChain and ChatGPT to demonstrate how organizations can use the power of LLMs to perform classic NLP tasks like named-entity recognition, sentiment analysis, topic modeling, and summarization.

Lesson Plan Maker: An LLM-powered application that automatically generates a complete lesson plan in accordance with Texas Essential Knowledge and Skills (TEKS).

Online News Popularity Predictor: A binary classification model that predicts whether an online post will go viral or not.

ACADEMIC EXPERIENCE

Western Governors University, MS in Data Analytics

Western Governors University, BS in Data Management and Data Analytics

Codeup

A fully immersive, project-based 18-week Data Science career accelerator that provides students with 600+ hours of expert instruction in applied data science. Students develop expertise across the full data science pipeline (planning, acquisition, preparation, exploration, modeling, delivery) and become comfortable working with real, messy data to deliver actionable insights to diverse stakeholders.

HONORS & AWARDS

Winner of CivTechSA Datathon 2019 – Joint-Service Commendation Medal – Navy Good Conduct Medal – Admiral’s Letter of Merit – Sailor of the Year – Sailor of the Quarter – Global War on Terrorism Service Medal – Iraqi Campaign Medal – Armed Forces Expeditionary Medal – Enlisted Surface Warfare Specialist – Enlisted Aviation Warfare Specialist