I have built an AutoML funded by the US Department of Energy. IdareAI is a cloud-based zero-code Automated Machine Learning (AutoML) platform for production-scale business purposes. AutoML allows people who aren't experts in AI can use it to solve business problems. IdareAI can automatically handle big data management, exploratory data analysis, data visualization, predictive analytics, and decision dashboard creation without writing a single line of code.A problem that can save a human life, drives me to my passion for data analysis. In 2019, more than 1,00,000 Dengue cases were reported in Bangladesh. One of my relatives required 63 bags of A+ blood and I was one of the blood donors. Dengue is caused by Mosquito bites. That's why as a Data Scientist at IDARE, I accepted the challenge to predict the number of Dengue cases in different cities so that the hospitals can prepare themselves in advance and save lives. The spread of the mosquito depends on weather variables. Based on that, I did the month-ahead, and the year-ahead predictions to help Bangladesh government officials, city corporations, and hospitals with valuable insights. Email: kawsar.usf@gmail.comLooking for a full-time position as a Data Scientist or Machine Learning Engineer.Willingness to relocate: Yes, anywhere in the USACurrent visa status: H1BI have approved I-140 of EB2 NIWMy Youtube Channel for Data Science Podcast: https://www.youtube.com/@kawsarfarhad4007/streamsGitHub Profile: https://github.com/SKawsarMedium profile: https://kawsar34.medium.com/Career Summary:• 5 years of experience in Software development, Data Science, and Machine Learning using Python• Skilled in Data Analysis using SQL, Business Intelligence using Tableau, and Power BI• Expert in predictive analytics, Time-Series Analysis, Natural Language Processing, and Deep Learning• Proficient in Statistical Modeling, Supervised Learning, Classification, Regression, and Unsupervised Learning• DataCamp Certified Data Scientist Professional and AWS Certified Cloud Practitioner• Solid background in Statistics, Probability, Linear Algebra, Data Structure, and AlgorithmsProgramming Languages: Python, MATLAB, R, Java, C++, CDatabase Management System: MySQL, Microsoft SQL Server, PostgreSQL, NoSQL, MongoDBMachine Learning Tools: Scikit-learn, SciPy, TensorFlow, Keras, PySpark, PyTorch, spaCy, NLTKApplications & Services: Tableau, Power BI, Microsoft Excel, Google Sheets, GitAutoML tool: Amazon SageMaker, Microsoft Azure Machine Learning, DataRobot, Google Vertex AI
