Syed Maudud E Rabbi

Data Scientist at Tarifica
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Contact Information
us****@****om
(386) 825-5501
Location
New York City Metropolitan Area
Languages
  • English Native or bilingual proficiency
  • Bengali Native or bilingual proficiency
  • Hindi Professional working proficiency

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Credentials

  • Data Visualization with Python
    DataCamp
    Sep, 2023
    - Nov, 2024
  • Microsoft Azure Machine Learning for Data Scientists
    Microsoft
    Sep, 2023
    - Nov, 2024
  • Visualizing Geospatial Data in Python
    DataCamp
    Sep, 2023
    - Nov, 2024
  • Docker for Data Scientists
    LinkedIn
    Apr, 2023
    - Nov, 2024
  • Human-Centered Design for Inclusive Innovation
    University of Toronto
    Apr, 2023
    - Nov, 2024
  • Create Machine Learning Models in Microsoft Azure
    Microsoft
    Mar, 2023
    - Nov, 2024
  • Inclusive Analytic Techniques
    University of Toronto
    Mar, 2023
    - Nov, 2024
  • Gender Analytics for Innovation
    University of Toronto
    Dec, 2022
    - Nov, 2024
  • Machine Learning Data Lifecycle in Production
    DeepLearning.AI
    Nov, 2022
    - Nov, 2024
  • Microsoft Certified: Azure Fundamentals
    Microsoft
    Jun, 2022
    - Nov, 2024
  • Introduction to Machine Learning in Production
    DeepLearning.AI
    May, 2022
    - Nov, 2024
  • Introduction to Relational Databases in SQL
    DataCamp
    Mar, 2022
    - Nov, 2024
  • Interactive Data Visualization with Bokeh
    DataCamp
    Dec, 2021
    - Nov, 2024
  • Improving Your Data Visualization with Python
    DataCamp
    Nov, 2021
    - Nov, 2024
  • Intermediate Data Visualization with Seaborn
    DataCamp
    Nov, 2021
    - Nov, 2024
  • Introduction to Data Visualization with Seaborn
    DataCamp
    Oct, 2021
    - Nov, 2024
  • Introduction to Data Visualization with Matplotlib
    DataCamp
    Sep, 2021
    - Nov, 2024
  • ANU-ActuarialX: Introduction to Actuarial Science
    The Australian National University
    Dec, 2019
    - Nov, 2024
  • Principles and Practices of Islamic Insurance
    edX
    Sep, 2019
    - Nov, 2024
  • PH125.8x: Data Science: Machine Learning
    HarvardX - An Online Learning Initiative by Harvard University through edX
    May, 2019
    - Nov, 2024
  • ALGS200x: Algorithmic Design and Techniques
    UC San Diego Extension
    Jan, 2019
    - Nov, 2024
  • CSMM.101x: Artificial Intelligence (AI)
    Columbia University in the City of New York
    Jan, 2019
    - Nov, 2024
  • PH125.7x: Data Science: Linear Regression
    HarvardX - An Online Learning Initiative by Harvard University through edX
    Nov, 2018
    - Nov, 2024
  • Machine Learning A-Z™: Hands-On Python & R In Data Science
    Udemy
    Oct, 2018
    - Nov, 2024
  • PH125.6x: Data Science: Wrangling
    HarvardX - An Online Learning Initiative by Harvard University through edX
    Sep, 2018
    - Nov, 2024
  • PH125.5x: Data Science: Productivity Tools
    HarvardX - An Online Learning Initiative by Harvard University through edX
    Jul, 2018
    - Nov, 2024
  • PH125.1x: Data Science: R Basics
    HarvardX - An Online Learning Initiative by Harvard University through edX
    May, 2018
    - Nov, 2024
  • PH125.2x: Data Science: Visualization
    HarvardX - An Online Learning Initiative by Harvard University through edX
    May, 2018
    - Nov, 2024
  • PH125.3x: Data Science: Probability
    HarvardX - An Online Learning Initiative by Harvard University through edX
    May, 2018
    - Nov, 2024
  • PH125.4x: Data Science: Inference and Modeling
    HarvardX - An Online Learning Initiative by Harvard University through edX
    May, 2018
    - Nov, 2024

Experience

  • Tarifica
    • United States
    • Telecommunications
    • 1 - 100 Employee
    • Data Scientist
      • Aug 2021 - Present

      Delivered insightful analysis (Pandas, Numpy), interactive visualizations (Plotly.js, Matplotlib), and state-of-the-art daily reporting products to our client Telefonica (o2 Germany). Built forecasting models for customer churn to optimize future pricing strategies for Sim-only & Bundle device plans and guided them to adjust for potential market fluctuations (Facebook Prophet, Scikit-learn, Statsmodels, Plotly.js & Python). Implemented SVR machine learning model with hyper-parameter tuning using Microsoft FLAML, to identify and categorize plans with the best value-for-money in the market. Guided our client to implement pricing changes to increase sales by 3%. Managed MySQL databases in AWS RDS and AZURE. Built effective ETL processes and secure cloud architectures. Deployed and maintained servers and virtual machines (AWS EC2 instances). Automated the building, testing, and deployment phases of the Elastic Beanstalk apps through CI/CD tool AWS CodePipeline. Created automated reports (R), alerts, dynamic dashboards (Dash, Flask, Elastic Beanstalk), APIs, and price comparison tools for clients, which tracked and compared daily changes of plans in the market Developed automated reports in Slack channel (AWS, R, ggplot2, data.table), alerts, dynamic dashboards (Dash, Flask, Elastic Beanstalk), APIs, and price comparison tools for clients, which tracked and compared daily changes of plans in the market. Created interactive slack-bot application (Flask, Azure App Service, Slack Block-kit, Bolt) workflow to provide visualizations of indexed Google Trends data based on user input keyword, start date, and specified index date. Developed scrapers to scrape data and screenshots from web pages using Selenium and Beautiful Soup. Mentored and managed junior data scientists and interns. Led machine learning and analytics projects Show less

  • DataMixMaster
    • United States
    • IT Services and IT Consulting
    • Data Science Intern
      • Oct 2020 - May 2021

      Developed professional visualizations for API data using Python’s seaborn package and gathered insightful analysis (pandas) in order to facilitate the requirements of the Software-as-a-Service product. Performed unit testing and troubleshooting with Pytest framework to ensure effective resolution of technical issues related to the product. Developed professional visualizations for API data using Python’s seaborn package and gathered insightful analysis (pandas) in order to facilitate the requirements of the Software-as-a-Service product. Performed unit testing and troubleshooting with Pytest framework to ensure effective resolution of technical issues related to the product.

  • Baruch College
    • United States
    • Higher Education
    • 700 & Above Employee
    • Open Source Developer
      • Jan 2021 - Mar 2021

      Collaborated with CUNY Accounting Department Professors to implement Python scripts to automate grading evaluation for MS excel based exams for Undergraduate level accounting students. Collaborated with CUNY Accounting Department Professors to implement Python scripts to automate grading evaluation for MS excel based exams for Undergraduate level accounting students.

  • NYU Tandon School of Engineering
    • Higher Education
    • 700 & Above Employee
    • Open Source Developer
      • Apr 2018 - May 2019

      Worked on the backend and frontend of the DevOps course using Django, HTML, CSS, JavaScript Managed an SQLite database. Implemented faster import, export, search, and data drill-down capability Worked on the backend and frontend of the DevOps course using Django, HTML, CSS, JavaScript Managed an SQLite database. Implemented faster import, export, search, and data drill-down capability

  • Metro-North Railroad
    • United States
    • Rail Transportation
    • 700 & Above Employee
    • Data Analyst/ Procurement Intern
      • May 2018 - Dec 2018

      Developed a Visual Basic application using the “Bootstrapping” statistical method to predict demand of more than 100,000 Repair and Renovation items. Reviewed inventories, evaluated the facility’s needs and scrutinized purchase histories and created an MS Access database to store the history. Presented recommendations obtained from the prediction model to the cross functional team composed of engineers, procurement, and capital programs. Developed a Visual Basic application using the “Bootstrapping” statistical method to predict demand of more than 100,000 Repair and Renovation items. Reviewed inventories, evaluated the facility’s needs and scrutinized purchase histories and created an MS Access database to store the history. Presented recommendations obtained from the prediction model to the cross functional team composed of engineers, procurement, and capital programs.

  • St. Joseph's University New York
    • United States
    • Higher Education
    • 700 & Above Employee
    • Researcher
      • May 2018 - Aug 2018

      Created a predictive model to predict the average Apartment Price in a given neighborhood in NYC. Identified key factors that drive housing prices in the city and scaled them according to the importance. Developed R script to analyze and produce visualizations of the research findings using ggplot2 and presented them in Seminar. Created a predictive model to predict the average Apartment Price in a given neighborhood in NYC. Identified key factors that drive housing prices in the city and scaled them according to the importance. Developed R script to analyze and produce visualizations of the research findings using ggplot2 and presented them in Seminar.

Education

  • Zicklin School of Business
    Master's degree, Quantitative Methods and Modeling
    2020 - 2022
  • St. Joseph's College
    Bachelor of Science - BS, Mathematics and Computer Science (Double Major)
    2015 - 2019

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