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Click here or scroll down to respond to this candidateCandidate's Name
// LINKShttps://www.github.com/anderchehttps://LINKEDIN LINK AVAILABLEhttps://public.tableau.com/profile/anders#!// PROFILEA Data Scientist skilled in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), machine learning, deep learning neural networks, data visualizations, and building data pipelines that solve business challenges. I have a Master of Science in Artificial Intelligence and a Master of Science in Biomedical Technology Development & Management with experience utilizing Python, Generative-AI frameworks LangChain & Llama- Index, Computer Vision (CV), Natural Language Processing (NLP), time-series forecasting, fullstack app development, and model development from data cleaning/preprocessing to feature engineering and hyperparameter-tuning.// SKILLSAWS, Azure, Databricks, Django, Docker, FastAPI,Flask, Git, GitHub, HTML5, JavaScript, JSON, Keras, MLflow, Neo4j, NLP, NumPy, Pandas, Power BI,PySpark, Python, R, Ruby on Rails, SageMaker, Scikit- Learn, Snowflake, Spark, SQL, Streamlit, Tableau,Tensorflow// EMPLOYMENTData Scientist06/2024 to PresentBaxter remote- Short term contract assignment- Built a frontend interface for a RAG-based LLM utilizing Python, Redis vectorstore, AzureOpenAI, HuggingFace embeddings, and Databricks Model Registry for logging and serving the API endpoint.- Deployed LLM in Power BI dashboards to help technicians troubleshoot medical devices errors.Data Scientist01/2024 to 06/2024Booz Allen Hamilton remote- Built a RAG-based LLM with the LangChain framework to summarize vectorized text datasets (e.g. National Institutes of Health grants and publications); technologies included Python, LangChain, AWS Bedrock (Llama-2, Claude, ChatGPT foundation models), embeddings (AWS Titan/HuggingFace) for text vectorization, Amazon RDS with PGVector, LangChain vectorstore, and Gradio/Streamlit frontends- Utilized pretrained LLM (HuggingFace) and NLP (e.g. sentiment analysis) for severity level labeling of vaccine adverse events for pharmacovigilance purposes visualized within Power BI- Presented management with results, data visualizations, and impact to business use-cases- Wrote government proposals regarding AI Data-Readiness frameworksData Scientist10/2022 to 01/2024Gemological Institute of America remote- Built machine learning (ML) and neural network models for valuing diamonds; steps included hyperparameter tuning, architecture comparisons, and evaluation metrics (accuracy/precision for classifiers, RMSE and R-Squared for regressors)- Designed deep learning neural networks for Computer Vision object detection for diamond clarity as well as time-series forecasting of instrumentation failure with algorithms: CNNs, ResNet, DenseNet, Long Short-Term Memory (LSTMs), Gated Recurrent Unit (GRUs)- Built numerical models with ML algorithms (Random Forest, XGBoost, Support Vector Machine, and ensemble methods)- Built Power BI / Tableau dashboards to track performance across regions the organization (Month- over-Month charts, matrix tables, filters, date slicers, etc.)- Extracted data from Snowflake and IBM Cloudant APIs before preprocessing data, boto3, S3, and SageMaker for model development- Performed exploratory data analysis to identify outliers, NaN values, statistical measures, and data visualizations (aggregations, barplots, heatmaps, Pearson correlations, etc.)- Presented management with findings (evaluation metrics, features, algorithms, architectures, graphs)Consultant, EU Medical Device Regulation11/2020 to 09/2021Varian remote- Tracked international medical devices registrations (oncological, embolization nanoparticles) using Python to identify shared requirements and expedite country-specific requirements (regarding Supply Chain, Engineering, Safety/Complaint data, and Marketing documentation)- Licensed the nanoparticles in the European Union (CE-Mark registration) collaborating alongside Engineering, Operations, Marketing, Product Management, and Sales departmentsConsultant, EU Medical Device Regulation09/2019 to 03/2020Medtronic remote- Submitted European Medical Device Regulation (MDR) and technical file (CE-Mark) dossiers for nerve-monitoring spinal products- Provided regulatory support in New Product Development meetings pertaining to IEC 60601-1 Basic Safety and Essential Performance, IEC 60601-1-2 EMC, IEC 62366 Usability, IEC 62304 Software deliverablesRegulatory Affairs Specialist02/2017 to 09/2018Johnson & Johnson Irvine, CA- Submitted 30x registrations for Europe, China, Japan, Russia, and Brazil for entire product lines- Drafted European Technical Files for Sterilizers and Disinfection capital equipment- Worked with Engineering, Marketing, Quality, and Operations to finalize registration deliverables Senior Regulatory Affairs Specialist 03/2014 to 10/2015 PENTAX Medical Montvale, New Jersey, U.S.A.- Wrote Clinical Evaluation Reports for endoscopes, colonoscopes, video processors and ENT devices- Licensed 50+ international product registrations- Performed gap analysis of European CE-Mark compliance (e.g. Restriction of Hazardous Substances) and advised team on remediation- Contributed to successful FDA Inspections & TV audits// EDUCATIONMaster of Science, Artificial Intelligence09/2021 to 09/2022Dublin Business School - Dublin, Ireland* Courseworko Machine Learning & Pattern Recognition, Deep Learning, Reinforcement Learning, Recommender Systems, Natural Language Processing (NLP), Programming for Data Analysis, Graph Theory, Cognitive & Ethical Dimensions of AI Dissertationo A comparison study of LSTM and GRU algorithms and a feature analysis of multivariate macroeconomic features pertaining to their capacity to improve accuracy of Bitcoin price predictions. https://Candidate's Name .gitbook.io/modeling- digital-assets-with-deep-learning/* Projectso A data acquisition / preprocessing pipeline script to obtain stock market data, create technical indicator, with data persisting to a database (Microsoft SQL Server). https://github.com/Anderche/data-acquisition-and-preprocessing- pipelineo A Content-based recommender system (RS) script is for a content-based recommender system (RS) that I built. This basic system recommends an Airbnb listing to a User based on the description fields of a their historical stays. The code implementation compares recommendation accuracy of the BERT and TF-IDF algorithms. https://github.com/Anderche/content-based-recommendation-system o An NLP topic modeling application to better understand the major themes for that days news headlines by ingesting the Python API, NewsAPI. It can be found here: https://github.com/Anderche/Natural-Language-Processing_Topic- ModelingA Python script that utilizes that targets communities from the MovieLens database (containing ~38,000 movies) via the graph theory (machine learning) algorithms, Label Propagation (Community Detection Algorithm), and K-Nearest Neighbors (Similarity Algorithm). https://github.com/Anderche/graph-theory-profitable-movie-ideas o A Tensorflow / Keras image classification model compared the accuracy of three image classification models: ResNet50, VGG16, and a custom deep learning, neural network. For each model above, first a baseline model was trained and evaluated. Afterwards, a dropout layer was added to each model and compared in terms of the baseline models. https://github.com/Anderche/image_classificationData Analytics Bootcamp08/2020 to 10/2020WeCloudData Online - online - https://www.wedlouddata.com- Power BI, Tableau, SQL, Python (financial analysis, web scraping), Marketing Analytics, Digital Analytics, Supply Chain Analytics, Healthcare Analytics, Business AnalyticsFullstack Web Development Program01/2019 to 03/2019Le Wagon - Milan, Italy - https://www.lewagon.org- Ruby on Rails, React.js, HTML5, CSS3, JavaScript, Flexbox, CSS Grid, jQuery, Authentication & Authorization mechanisms, Geocoding (MapBox), Search (Algolia), UX/UI design Master of Science, Biomedical Technology Development & Mgmt. 08/2009 to 05/2011 Georgetown University - Washington, D.C., U.S.A.- Bioinformatics, Biomaterials, Project Management, Immunology, Pharmacology, Molecular Biotechnology, Preclinical Product Evaluation, Design & Conduct of Clinical Trials, Product Leadership, Legal & IP Issues, Commercial Development, Leadership & Innovation in a Tech EnvironmentBachelor of Science, Biological Sciences08/2005 to 05/2009Virginia Polytechnic Institute & State University - Blacksburg, VA |
