Syed Maudud E Rabbi
Data Scientist at Tarifica- Claim this Profile
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English Native or bilingual proficiency
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Bengali Native or bilingual proficiency
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Hindi Professional working proficiency
Topline Score
Bio
Credentials
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Data Visualization with Python
DataCampSep, 2023- Sep, 2024 -
Microsoft Azure Machine Learning for Data Scientists
MicrosoftSep, 2023- Sep, 2024 -
Visualizing Geospatial Data in Python
DataCampSep, 2023- Sep, 2024 -
Docker for Data Scientists
LinkedInApr, 2023- Sep, 2024 -
Human-Centered Design for Inclusive Innovation
University of TorontoApr, 2023- Sep, 2024 -
Create Machine Learning Models in Microsoft Azure
MicrosoftMar, 2023- Sep, 2024 -
Inclusive Analytic Techniques
University of TorontoMar, 2023- Sep, 2024 -
Gender Analytics for Innovation
University of TorontoDec, 2022- Sep, 2024 -
Machine Learning Data Lifecycle in Production
DeepLearning.AINov, 2022- Sep, 2024 -
Microsoft Certified: Azure Fundamentals
MicrosoftJun, 2022- Sep, 2024 -
Introduction to Machine Learning in Production
DeepLearning.AIMay, 2022- Sep, 2024 -
Introduction to Relational Databases in SQL
DataCampMar, 2022- Sep, 2024 -
Interactive Data Visualization with Bokeh
DataCampDec, 2021- Sep, 2024 -
Improving Your Data Visualization with Python
DataCampNov, 2021- Sep, 2024 -
Intermediate Data Visualization with Seaborn
DataCampNov, 2021- Sep, 2024 -
Introduction to Data Visualization with Seaborn
DataCampOct, 2021- Sep, 2024 -
Introduction to Data Visualization with Matplotlib
DataCampSep, 2021- Sep, 2024 -
ANU-ActuarialX: Introduction to Actuarial Science
The Australian National UniversityDec, 2019- Sep, 2024 -
Principles and Practices of Islamic Insurance
edXSep, 2019- Sep, 2024 -
PH125.8x: Data Science: Machine Learning
HarvardX - An Online Learning Initiative by Harvard University through edXMay, 2019- Sep, 2024 -
ALGS200x: Algorithmic Design and Techniques
UC San Diego ExtensionJan, 2019- Sep, 2024 -
CSMM.101x: Artificial Intelligence (AI)
Columbia University in the City of New YorkJan, 2019- Sep, 2024 -
PH125.7x: Data Science: Linear Regression
HarvardX - An Online Learning Initiative by Harvard University through edXNov, 2018- Sep, 2024 -
Machine Learning A-Z™: Hands-On Python & R In Data Science
UdemyOct, 2018- Sep, 2024 -
PH125.6x: Data Science: Wrangling
HarvardX - An Online Learning Initiative by Harvard University through edXSep, 2018- Sep, 2024 -
PH125.5x: Data Science: Productivity Tools
HarvardX - An Online Learning Initiative by Harvard University through edXJul, 2018- Sep, 2024 -
PH125.1x: Data Science: R Basics
HarvardX - An Online Learning Initiative by Harvard University through edXMay, 2018- Sep, 2024 -
PH125.2x: Data Science: Visualization
HarvardX - An Online Learning Initiative by Harvard University through edXMay, 2018- Sep, 2024 -
PH125.3x: Data Science: Probability
HarvardX - An Online Learning Initiative by Harvard University through edXMay, 2018- Sep, 2024 -
PH125.4x: Data Science: Inference and Modeling
HarvardX - An Online Learning Initiative by Harvard University through edXMay, 2018- Sep, 2024
Experience
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Tarifica
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United States
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Telecommunications
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1 - 100 Employee
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Data Scientist
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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
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Data Science Intern
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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.
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Baruch College
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United States
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Higher Education
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700 & Above Employee
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Open Source Developer
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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.
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NYU Tandon School of Engineering
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Higher Education
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700 & Above Employee
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Open Source Developer
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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
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Metro-North Railroad
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United States
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Rail Transportation
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700 & Above Employee
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Data Analyst/ Procurement Intern
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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.
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St. Joseph's College
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India
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Higher Education
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Researcher
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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.
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Education
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2020 - 2022
Zicklin School of Business
Master's degree, Quantitative Methods and Modeling -
2015 - 2019
St. Joseph's College
Bachelor of Science - BS, Mathematics and Computer Science (Double Major)
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