Marcus Sharp, MBA, MSF, MST

Marcus Sharp, MBA, MSF, MST

Boston, Massachusetts, United States
13K followers 500+ connections

About

I wish to utilize my extensive background in economics, business, accounting, finance…

Activity

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Experience

  • HarbourVest Partners Graphic
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    Boston, Massachusetts, United States

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    Greater Boston Area

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    Greater Boston Area

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    Greater Boston Area

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    Greater Boston Area

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    Greater Boston Area

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    Greater Boston Area

Education

  • Boston University Graphic

    Boston University

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    Business Analytics Foundation, Enterprise Risk Analytics (using R), Marketing Analytics (included Introduction to Python), Data Mining (Machine Learning) for Business Analytics (using R)

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    Introduction to Data Analytics, Probability Theory, Statistical Review with Excel, Introduction to R, R Analytics, Data Visualization, Advance R Plotting, Relational Database, SQL, Tableau, RShiny, Orange, Introduction to Machine Learning: Concepts, Algorithms & Applications and Case Studies.

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    Activities and Societies: Basketball, Track, Band, Student Council Vice President

Licenses & Certifications

Volunteer Experience

Courses

  • Data Mining/Machine Learning

    MET AD699

  • Marketing Analytics

    MET AD654

Projects

  • Various

  • Various

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  • Aladdin Customization for Client Service Area

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    Primarily responsibility to gather, analyze, document, and validate the needs of the business stakeholders for Aladdin customization for customer service department. The Business Analyst serves as the principal conduit for managing system requirements between the business and the software development team throughout the duration of the project.

  • Data Mining/Machine Learning for Business Analytics at Boston University

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    Built and evaluated machine learning models using Airbnb data and many other datasets. Used several classification algorithms, including k-nn, naive Bayes, and classification trees. Understand how distance between records can be measured and know that there are multiple valid ways to perform tasks. Understand the key concepts behind unsupervised learning techniques such as clustering and association rules. Familiar with text mining model and know how such a model could perform sentiment…

    Built and evaluated machine learning models using Airbnb data and many other datasets. Used several classification algorithms, including k-nn, naive Bayes, and classification trees. Understand how distance between records can be measured and know that there are multiple valid ways to perform tasks. Understand the key concepts behind unsupervised learning techniques such as clustering and association rules. Familiar with text mining model and know how such a model could perform sentiment analysis on a body of written words. Understand why data partitioning is a fundamental step in building a machine learning model and have partitioned datasets in R. I am comfortable opening R, bringing in a data files, exploring data and creating visualizations.

  • Mutual Fund Conversion Project

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    Converted $1.4 trillion of mutual funds as part of the Global Implementation Team. Used Agile methodology and submitted JIRAs. Participated in daily meeting by bringing up issues, answering questions and resolving issues. Utilized Excel, Invest One and internally developed client on-boarding tool. Developed & utilized test scripts during QA phase to confirm system requirements and used system during conversion phase.

  • Data Analytics Capstone: NU Experimental Learning Program

    Cleaned data, developed methodology, used visualization tools to display findings and made recommendations to project sponsor. Used R, SQL, Power BI and Tableau.

  • Profitability Project

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    Determine profitability by sales channel, focus firms and product type. Used Excel, Essbase and worked with numerous subject matter experts.

  • Redi2 Billing/Accounting System Project

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    Planned, analyzed, designed, tested, implemented and maintained large-scale billing/accounting system project (project was completed on time & within budgeted resource levels). Coordinated & led the efforts of 7 functional areas: finance, compliance, client service, information technology, shared billing unit, portfolio accounting and software vendor. Developed system, utilized system and moved work processes to other departments and geographic locations.

  • Offshoring (Chennai, India)

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    Wrote processes and trained employees in Chennai via phone/webex.

  • Offshoring (Pune, India)

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    Served as finance lead on a dozen projects.

  • Six Sigma process improvement (finance division)

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    Recommended process improvements, wrote specs and performed training.

  • Billing system conversion

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    Confirmed that new billing system matched contract pricing after conversion.

  • SellStation

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    Tested and ran pilot program.

Honors & Awards

  • Edgar B Pitts Scholarship

    Boston University

  • Level Scholarship

    Northeastern University

  • YMCA Black Achievers

    YMCA

  • BNY Mellon Premier Achievement Award - Finance

    BNY Mellon

  • Double Husky Scholarship

    Northeastern University

  • Double Husky Scholarship

    Northeastern University

  • Boston University Scholarship

    Boston University

Languages

  • English

    Native or bilingual proficiency

  • Spanish

    Elementary proficiency

Organizations

  • Toastmasters

    Member

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