Meet Patel Email & Phone Number

Ottawa, On, Ca

Montreal, Quebec, Canada

Apply a wide variety of Machine Learning algorithms to real-world client challenges in computer vision.Act as a bridge between our development and UX/UI team and the world of our AI customers.Build and design cutting-edge ANNs by using Zetane’s highly flexible visual language.Invent and test new types of ML models from Zetane’s 3D-based UI and using ML best practices and tools.Work closely with a back-end to front-end software developers to ensure data and Machine Learning assumptions and tools are being effectively developed for client solutions.Develop Zetane’s approach to explainability.Keep up to date with ML literature pertaining to Zetane’s objectives.Perform data analyses and visualizations to understand client use-case data in relation to business and operational challenges the client is facing.Use business savvy to identify risks and opportunities for the client.Use ETL and Big Data tools to develop an efficient and accurate data workflow.Participate in sprint planning, daily standups, and sprint review.

Work with a team of instructors and mentors to lead Data Analytics and Data Science courses,helping students learn through lessons, code-along and interactive exercisesWork directly with our students in the classroom and give project supportHelp resolve issues, and coach through debugging and technical problem-solvingProvide a thoughtful, stimulating, and positive classroom experienceParticipate in supporting student eventsCreate, update and refine curriculum using student feedback and new developments in the DataScience field according to our Curriculum RoadmapCollaborate with the team to create and review program improvements and innovationsContribute expertise to in-house data science projects using Juno’s data setsOther tasks as requiredCover python fundamentals: Dynamic Programming, OOPTeach Supervised and Unsupervised learning algorithms using real-world data.

Product: Process raw address data and perform Exploratory Data Analysisfor feature extraction, use this information to optimize and build the modelarchitecture. The final product is able to get useful insights from different languageaddress data with 94% accuracy.ML tools: • Data Cleaning and modifications with Pandas, • Data Visualization - Plotly, Matplotlib, Jupyter Notebook • Model evaluation - Confusion Matrix, Hyperparameter tuning• Algorithms - RNN, LSTM, SVM • Deployment - Build RestAPIs • Version Control - GitAs Data Scientist, provide interpretation, advice, and expertise to client groupsand other stakeholders, including the direction on how to transform analytics intoproactive insights and actionable information. Lead the project through the Enterprise Architecture gating process and obtainnecessary endorsements and approvals

Ottawa, Canada Area

Product: Build Sport team website and provide ML tools to visualize andperformance of sports teams using CV and NLP techniques.Computer Vision ProjectDesign and develop a Computer Vision model to detect various hand gestures using deep neuralnetwork algorithms such as CNN, ResNet, Mask R-CNN and YOLO. Use GPUs and Google cloudservices: Object detection and video intelligence API to train the machine learning model.Evaluate and optimize the model using Keras tuner and IOU methods.NLP ProjectImplement an algorithm of Natural Language Processing for emotion analysis,personality traits detection and text summarization.Build tweeter data cleaning function with Pandas and NLTKBuild a separate model for emoji analysis and link to the main model to get thefinal result.• Get 96% model accuracy with 5 different emotion classes

Master'S Degree

MCG 5108 Finite Element Analysis.............................................................................................. A- MCG 5138.

Bachelor'S Degree, 8.36/10

Activities and Societies: Workshops 1. Robotics workshop(2011) 2. Industrial visit at BHARAT FOUNDRY(2014) 3. Mechanical Modeling.