This portfolio showcases the projects that were produced as part of the Applied Data Science program at Syracuse University. This will not only demonstrate the real-world, practical benefits of the curriculum, but also serve as an example of my coding, writing and presentation style. Most of these projects were done as small, self forming teams consisting of 3 to 4 students.

Projects listed in chronological order

Resume: Click Here

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A nonprofit community learning center, running parallel lines of business, needs a new database to support their member tracking, classroom management and billing services.

Primary Skills: SQL, database triggers, entity relationship diagrams (ERD)

Project Code: Click Here

Project Presentation: Click Here

Project Report: Click Here

Two companies, with differing lines of business/business models, are merging together and need a new combined data warehouse.

Primary Skills: SQL, data warehousing, ETL tools

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Using public data, aggregate and compare the number of farmer markets against income, population density and farmland acreage.

Primary Skills: Python, data aggregation, data cleansing

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A financial services company needs to prioritize a weekly call list by identifying which leads are the most likely to convert to a sale.

Primary Skills: R, machine learning, linear modeling, feature engineering

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Analyze hotel reservation data to determine what contributes to booking cancellations. Offer insights for reducing the number of cancellations, encouraging repeat visitors and find ways to target untapped markets.

Primary Skills: R, machine learning, linear modeling, data visualization

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Lift and shift a streaming video service's infrastructure from on-prem to Azure.

Primary Skills: System architecture, cloud network architecture, requirement analysis, cost analysis

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Build an artificial neural network to assist with classifying an audio sample into a music genre.

Primary Skills: Python, artificial neural networks, convolutional neural networks

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Redesign a start-up's infrastructure, move it to Azure and ensure scalability for short term hyper-growth potential.

Primary Skills: System architecture, cloud network architecture, scalability, cost analysis

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Based off a biopsy sample, predict the presence of malignant cancer with an accuracy of 97% or higher.

Primary Skills: Python, machine learning, linear modeling, feature engineering

Project Code: Click Here

Project Presentation: Click Here

Project Report: Click Here