Md Shahidullah Kawsar Email and Phone Number
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
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Senior Data ScientistIdare Apr 2020 - PresentHouston, Texas, United StatesProject 1: AWS cloud-based IDARE Automated Machine Learning web application (IdareAI)• Leading a cross-functional team to create an AI-based solution builder tool and perform predictive analytics.• Built pipelines to Extract, Transform, and Load (ETL) big data from different sources and production-ready end-to-end ML pipelines using Pandas, Scikit-Learn, and PyTorch.• Reduced project delivery time from 12 weeks to 4 weeks through automation.• Providing active support and online training to 500 subscribers• Award: Received an innovation research grant of $200,000 from the US Department of Energy (DoE).Project 2: Visualization and Streaming Sensor Data in Dashboards• Led the development of an AWS cloud-based custom dashboard application using MS SQL Server, MongoDB, Pandas, and Plotly to visualize complex data from IoT sensors.• Implemented ETL pipelines, interactive data filtering, and drill-down features, designed the user interface, enhancing user engagement, facilitating more in-depth analysis, dynamic reporting, and generating $1M/year in revenue.Project 3: Predicting Short-term Loan Default and Customer Churn for a Bank• Handled big data from 130 branches and extracted key details about microfinance operations.• Built a pipeline to predict loan defaulters and customer churn using AutoML, and saving $500k/year.• Created financial dashboards in Power BI to get daily and monthly summaries for decision support.Project 4: Electricity Net Load Forecasting• Created a robust production-level codebase for electricity net load forecasting using Prophet and XGBoost, catering to the needs of four distinct US utility companies.• Established a comprehensive MLOps pipeline to monitor the entire ML model lifecycle, including model development, deployment, and ongoing monitoring, enabling daily scheduled predictions to support operational decisions. -
Graduate Research And Teaching AssistantUniversity Of South Florida Aug 2018 - May 2019Tampa, Florida• Award: 100% tuition fee waiver, Graduate Research, and Teaching Assistantship for 2 semesters• Mentored 120+ students for 2 semesters on homework and coding projects for Engineering Analysis and Communication Systems using MATLABProject: Determination of Toxic Comments and Minimization of the Unintentional Model Bias• Performed Exploratory Data Analysis on the negative online behaviors, and the reason for targeting a social network user through NLP using pandas, spaCy, NLTK, Gensim, Matplotlib, Seaborn, and Plotly• Identified toxic comments from 2 million comments through Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM) with Bag of Words and TF-IDF using Scikit-Learn, TensorFlow, and KerasProject: Predicting Customer Churn of a Telecom Company Using Python• Performed supervised binary classification of customer churn of a telecom company for 3500 users• Implemented Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Decision Trees, Random Forest, and Xtreme Gradient Boosting to improve the model performance by 15% through cross-validation, feature engineering, grid search, and hyper-parameter tuning -
Graduate Research And Teaching AssistantBoise State University Aug 2017 - May 2018Boise, Idaho• Award: 100% tuition fee waiver, Graduate Research, and Teaching Assistantship for 2 semesters• Mentored 100+ students for 2 semesters on homework and coding projects for Java Programming and Computer Architecture using the Open Virtual Platform (OVP)Project: Literature survey on Privacy Preserving Recommendations System using Encryption.• Identified the different types of recommendation systems on Online Social Networks.• Surveyed data privacy and data security against breaches of personal information using an efficient encryption technique while simultaneously generating the recommendation by making the original user information inaccessible to the system. -
Mathematics InstructorSunrise Coaching Center Jul 2015 - Jul 2017Dhaka, Bangladesh• Coached more than 500 high school students to their success in undergraduate enrollment tests at Bangladeshi engineering universities, especially in calculus, combinatorics, statistics, and probability• Administered student information data from 6 branches, performed data cleaning, merged different branch information, and reported to the head office every week.
Md Shahidullah Kawsar Education Details
Frequently Asked Questions about Md Shahidullah Kawsar
What company does Md Shahidullah Kawsar work for?
Md Shahidullah Kawsar works for Idare
What is Md Shahidullah Kawsar's role at the current company?
Md Shahidullah Kawsar's current role is Senior Data Scientist | 5x AWS Certified | Machine Learning Engineer | I have built an AutoML for the US Department of Energy.
What schools did Md Shahidullah Kawsar attend?
Md Shahidullah Kawsar attended University Of South Florida, Boise State University, Khulna University Of Engineering And Technology.
Who are Md Shahidullah Kawsar's colleagues?
Md Shahidullah Kawsar's colleagues are Shoumitro Roy, Fahim Shahriar, Vithal Tekumalla, Md. Walid Bin Khalid Aunkon, Shadmanee Tasneem Mulk, Idare Info, Md. Seamul Islam Seam.
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Md. Shahidullah Kawsar
Bangladesh
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