MASUDA TONIMAResearcher|Data Analyst| Engineer Mobile: 438-879-8664Email: tonima.masuda@gmail.comLinkedIn: MA TonimaPublications: MA Tonima  WORK EXPERIENCEResearch and Data Analytics EngineerData ELT for ML pipelines. Analyze data and create predictive ML models using frameworks like XGBoost, Pandas, Scikit-learn, PyTorch, TensorFlow, and Keras.Deploy ML models for production.Develop frontend and backend of ML-driven applications.Write comprehensive technical documentation for models and pipelines.Mentor interns in ML concepts and best practices using agile methodologies. Collaborate on ML development priorities. Stay updated on ML and tech advancements.Manage GitHub and SVN for version control. Test products, report bugs, and troubleshoot issues.Cadex ElectronicsJune 2022- PresentData Analytics ConsultantPrepared preliminary questionnaire for requirement gatheringGathered requirements from client interviews,Built wireframes using tools such as Figma and Mockflow,Built dashboards with Power BI and TableauCalligoApril 2022 – June 2022Machine Learning Engineer (Fellowship)Created the dataset from multiple sources such as DICOM imagesDeveloped and trained AI models (using Keras API, TensorFlow, PyTorch, Scikit, Matplotlib and other similar libraries),User-interface development for the AI models using Pyqt5,Handled large-scale data using GPU-based computation and AWS.Used Tableau for presenting findings to internal stakeholdersINNOTECH Medical Industries Corp.May 2021 – April 2022Machine Learning Engineer (Internship)Developed executable classifier using classical machine learning methods.Used Keras API, TensorFlow, PyTorch, pandas, darknet, matplotlib and other similar libraries for the development of required projects,Use of GPU to train large-scale datasets mainly consisting of radiographs of animals.Successful completion of this internship led to a fellowship with MITACS and iMi.INNOTECH Medical Industries CorpOctober 2020 – April 2021InternCalculated minority carrier diffusion length, carrier lifetime map and efficiencyCharacterized Manufactured solar cells and closely followed the making process to identify any step that caused errors.Atomic Energy Research EstablishmentSept 2014 – DECEMBER 2014  EDUCATIONMaster of Science in Electronic Engineering Graduated with Distinction, ranked second among the graduating body.University of PortsmouthSept 2015 – Aug 2016Bachelor of Science in Applied Physics and ElectronicsGraduated with CGPA: 3.26, completed an internship at the Atomic Energy Research Establishment as part of degree completion.BRAC University Jan 2011 – Dec 2014  SKILLSPower BIPythonMachine LearningMATLABTableauSQLC programming AWSVHDLAWR  PROJECTSBuilt dashboards using Tableau and Power BIDeveloped Lightweight Classifier using KERAS APIDeveloped user interface for ML modules using pyqt5Used SQL for data extraction from DiCOM image databaseDeveloped FPGA-based FIR filterMade a sound-controlled vehicle using c programming and DsPICDeveloped multiple application-focused ML pipelines that was later merged into one UIDesigned Filter and coupler using AWR Design Environment for RF transmission systemSuccessfully made a body posture monitoring system using ArduinoSuccessfully Co-simulation of VHDL and MATLAB for MSC thesis using system generator