Experience

Baubap

• Mexico
• Financial Services
• 1 - 100 Employee

• Chief Risk Officer & Co-Founder

  • Aug 2019 - Present

  Built from scratch the Machine Learning and Data Science projects necessary for the business' operations and growth. 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: ▪ Establishing data schemas ▪ Designing new pipelines ▪ Sourcing new data points from public and private data ▪ Crafting new features in real-time and insuring real-time availability ▪ Implementing feature catalog with feature analytics 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: ▪ Creating and maintaining Business Intelligence dashboards ▪ Scaling an A/B Testing suite available for the whole team used for decision making ▪ Monitoring ML models through performance KPIs ▪ Extracting user insights with descriptive statistics and clustering methods ▪ Querying database for key information on the fly to meet ad hoc business needs 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: ▪ Developing multiple predictive models for credit risk score ▪ Implementing Fraud and anomaly models ▪ Carrying out customer churn prediction using survival analysis methodology ▪ Creating clear model interpretability so that each individual prediction is explainable ▪ Deploying Convolutional Neural Network for image processing ▪ Utilizing transfer learning and transformer architecture for text classification ▪ Maintaining models through monthly releases ▪ Constantly Researching and experimenting with new approaches 𝗖𝗼𝗺𝗺𝗼𝗻𝗹𝘆 𝘂𝘀𝗲𝗱 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗹𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀: Python, PHP, MySQL, Pandas, Jupyter Notebooks, Numpy,Scipy, Sci-Kit Learn,Xgboost, Catboost ,BayesianOptimization, Tensorflow, Matplotlib,M2Cgen, Shap, Lifelines Show less



Instanteach

• E-Learning

• Founder- Instanteach.com

  • Jan 2018 - Jan 2020

  Achievements: -Creating a Predictive Model Pipeline using M.L which predicts the ideal teaching material based on students data. - Deploying said Model for our world wide user base for daily and constant use. -Managing Website Development with Rapid Iterations based on Usage Data. - Created Organic Social Media Traffic Funnel We have founded instanteach because we believe that it is about time to use A.I in order to help teachers save vast amounts of time, personalize the learning experience for students and upgrade the educational paradigms in general. Show less



Omdena

• United States
• Software Development
• 400 - 500 Employee

• AI Research in the Mars Anomaly Detection Project.

  • Apr 2019 - Aug 2019

  Acted as community for the Mars project commissioned by Nasa (https://omdena.com/projects/anomaly-detection-mars/) for detection Anomalies on the surface of the red planet. Collaborating with 30 other participants from around the world, we have worked on developing an Machine Learning Model able of detecting anomalies on the surface of the planet directly from the photos sent back by the HIRISE satellite. Such anomalies are meant to detect non-natural activity, also known as technosignatures... Achievements: - Lead a team to gather and pre-process large scale image dataset for training data. - Contributed deep unsupervised learning algorithms for anomaly detection in images. Show less



GitHub

• United States
• Software Development
• 700 & Above Employee

• Projects and Tutorials

  • Nov 2018 - Aug 2019

  Using Neural Networks to Predict Box Office Revenue: https://colab.research.google.com/drive/1q7iHSJ4T1hrvHiv69xun15nutcNs_0XA Customer Query Classification with Machine Learning With NLP: https://www.linkedin.com/pulse/say-what-customer-query-classification-some-simple-ai-conrad/ (source code: https://colab.research.google.com/drive/138LV4R_YnCSXvKHMnhta8fkQPjcRgb9b?authuser=1#scrollTo=i09FSfT-M_Yf) Unsupervised Machine Learning For Anomaly Detection: https://www.linkedin.com/pulse/how-good-wine-using-ai-quality-control-conrad-wilkinson-schwarz/ (source code: https://colab.research.google.com/drive/1JZvI-yJinK5UsopXaMSt2OzcdI8k26O6) Machine Learning Model Predicting Customer Churn Rate: https://www.linkedin.com/pulse/predicting-customer-churn-rate-believe-ai-tool-folk-conrad/ (source code: https://colab.research.google.com/drive/12TkoltAISaHUT2ZKv-CRmnHZeHz4q3JH#scrollTo=rtFHudd6LJoh) Show less