Vargha Dadvar Email & Phone Number

Canada

Designing and developing data and machine learning pipelines and APIs for Shift Energy optimization and analytics software system.

Proposed and developed a pipelined framework for explaining image classifier CNNs based on patterns of semantic concepts, using semantic segmentation and rule mining. Implemented the pipeline using Python technologies such as PyTorch, Scikit-Learn and Pandas, and the visual interactive frontend and APIs using NodeJS and VueJS. Developed a deep learning model based on BERT and LSTM for evaluating the effectiveness of COVID-19 policies, using time-series and text data of cases and… Show more Proposed and developed a pipelined framework for explaining image classifier CNNs based on patterns of semantic concepts, using semantic segmentation and rule mining. Implemented the pipeline using Python technologies such as PyTorch, Scikit-Learn and Pandas, and the visual interactive frontend and APIs using NodeJS and VueJS. Developed a deep learning model based on BERT and LSTM for evaluating the effectiveness of COVID-19 policies, using time-series and text data of cases and policies. Implemented using Python and PyTorch. Show less

Designed and developed the Planhat customer churn prediction data and ML pipeline, including data collection and preparation, feature engineering, model design, deployment and evaluation. Applied ensemble models learned from multiple time-series and text data sources. Implemented using Python technologies such as Scikit-Learn and Flask. Designed and developed the Planhat customer success management system including REST APIs, microservices and integrations. Implemented using full-stack… Show more Designed and developed the Planhat customer churn prediction data and ML pipeline, including data collection and preparation, feature engineering, model design, deployment and evaluation. Applied ensemble models learned from multiple time-series and text data sources. Implemented using Python technologies such as Scikit-Learn and Flask. Designed and developed the Planhat customer success management system including REST APIs, microservices and integrations. Implemented using full-stack JavaScript web technologies such as NodeJS, Angular and MongoDB. Show less

Tehran, Iran

Designed and developed the backend and frontend of the Raden sales, inventory, accounting and employee time attendance systems. Implemented using web and mobile platforms such as Android, .NET, AngularJS, SQL Server, etc.

Master Of Mathematics, Computer Science, 3.7

Thesis: POEM, Pattern-Oriented Explanations of CNN Models Teaching: - Teaching Assistant in Data-Intensive Distributed Computing course.

Bachelor Of Science (B.S.), Computer Science, 3.52

Project: Applying Optical Character Recognition for recognizing texts in Persian: Designed a complete OCR pipeline from scratch based.