I am a dedicated professional with a proven track record of successfully leading and overseeing pivotal data science programs and projects for FedEx (a Fortune 50 organization). As a dynamic and motivational leader, I specialize in architecting robust data processes and pipelines, fine-tuning systems for maximum efficiency, and driving significant process enhancements. My strength is cultivating enduring relationships with stakeholders, allowing me to understand their requirements and effectively address critical challenges deeply.I thrive on innovation, employing cutting-edge technologies and leveraging out-of-the-box thinking to surpass expectations consistently. My passion for productivity drives me to excel in every endeavor.My accomplishments are underpinned by my exceptional educational background, which includes a Postdoc at St. Jude Children's Research Hospital and a Ph.D. in Electrical and Computer Engineering from the University of Memphis, complemented by industry-leading training in data science.𝗙𝗶𝗲𝗹𝗱𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲/ 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 (𝟱 + 𝘆𝗲𝗮𝗿𝘀):• Machine Learning: Classification, Regression, Clustering, Ensemble modeling, NLP, LLM, LDA, PCA, GMM & EM Algorithm• Deep Learning: PyTorch, Keras, TensorFlow, ANN, CNN, RNN, and LSTM• Audio and Computer vision libraries: Librosa, PyAudio, and OpenCV• Data Visualization: Matplotlib, Seaborn, Pandas Visualization, ggplot, Plotly, and t-SNE• Programming Languages: Python, R, SAS, Java, Matlab, SQL, C, and C++• Hardware Description Language: HDL and Verilog• Operating System: Windows, Linux, and macOS• EDA Software: OrCAD, Pspice, Multisim, Quartus • HPC, GPU, Shell Scripting, Git Version Control, Docker, and Project Management• Cloud Computing: Google Cloud, Apache Spark, PySpark, and Microsoft Azure Databricks Tools/Software: Toad Data Point, Teradata Studio Express, SQL server management studio, Power BI, Tableau, and CI/CD
Fedex Services
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Senior Data ScientistFedex Services Oct 2021 - Present• Building predictive models (e.g., clustering, classifications, and regression) for potential customers• Market segmentation based on the firmographics attributes• Developed weekly volume predictions at vice-president level• Topic modeling for understanding the customers experience• Developed and deployed machine learning models to automate business operations and drive business transformation growth• Productionizing machine learning models and applications with a special focus on MLOps
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Postdoctoral Research AssociateSt. Jude Children'S Research Hospital Aug 2021 - Oct 2021Memphis, Tennessee, Us• Developing predictive models (e.g., clustering, classifications, regression) for cancer survivors• Identification of sleep apnea from physiological data• Multi-modal analysis for understanding the cognitive development of cancer survivors -
Graduate Research AssistantThe University Of Memphis May 2018 - Aug 2021Memphis, Tn, Us• Performing time series data analysis and build predictive models (classification, clustering, feature selection),• Working on machine learning predictive modeling to identify normal hearing and hearing-impaired older adults from time series (EEG) data,• Working on sound categorization (classification, clustering, LDA, PCA) by using a machine learning approach from the audio and neural data• Denoising the time-courses and extract the stable features for robust classification and clustering• The above works are supported by the National Institute of Health (NIH) and implemented in collaboration with the School of Communication Science & Disorders. -
Graduate Research AssistantThe University Of Memphis Aug 2016 - Apr 2018Memphis, Tn, Us• Building a machine learning model for predicting hearing impairment from neural data • Developing machine learning framework for understanding speech categorization• Feature selection that can predict speech categorization and hearing impairment• Analyzing and captioning the sidewalk images
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Assistant Professor, Department Of Electrical And Electronic Engineering (Eee)Dhaka University Of Engineering And Technology Jun 2014 - Aug 2016Dhaka, Bd -
Lecturer In EeeDhaka University Of Engineering And Technology Jun 2012 - Jun 2014Dhaka, Bd
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Adjunct FacultySonargaon University(Su) Jul 2014 - Jul 2016Taught undergraduate courses in Electrical and Electronic Engineering. -
External Committee MemberIbias University May 2014 - Jul 2016
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Adjunct FacultyEastern University Jun 2012 - Jul 2016Dhaka, BdTaught undergraduate courses and laboratoriesSupervised undergraduate thesis/project -
LecturerEastern University Jul 2011 - Jun 2012Dhaka, BdTaught undergraduate courses in Electrical and Electronic Engineering.
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Lecturer In EeeEastern University Jul 2011 - May 2012Dhaka, Bd
Md Sultan Mahmud Education Details
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The University Of MemphisComputer Engineering -
The University Of MemphisElectrical And Computer Engineering
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Bangladesh University Of Engineering And TechnologyElectrical And Electronics Engineering
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Dhaka University Of Engineering And TechnologyElectrical And Electronics Engineering
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The University Of MemphisElectrical And Computer Engineering
Frequently Asked Questions about Md Sultan Mahmud
What company does Md Sultan Mahmud work for?
Md Sultan Mahmud works for Fedex Services
What is Md Sultan Mahmud's role at the current company?
Md Sultan Mahmud's current role is Data Science, Artificial Intelligence, Machine Learning, Cloud Computing, Feature Engineering.
What schools did Md Sultan Mahmud attend?
Md Sultan Mahmud attended The University Of Memphis, The University Of Memphis, Bangladesh University Of Engineering And Technology, Dhaka University Of Engineering And Technology, The University Of Memphis.
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