Joel's Resume
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Joel M. Njuguna is seeking a challenging research position in mathematics or microbiology to gain a deeper understanding of the field and its medical applications. He has a strong educational background with a M.Sc. and B.Sc. in mathematics from Salem State University along with relevant work experience as a laboratory manager and learning specialist. His skills include excellent communication, strong problem solving abilities, and experience with various computer programs and mathematical principles.
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EBTM 350: Business Analytics
Semester / Term
Course-Section
Instructor
Email
Phone
Course Description
This course addresses the contemporary business issues of using data to support decision-making and implement change. The course focuses on using standard business analytic models to summarize and analyze data, build models, and drive impact through quantitative decision-making. Innovative trends in business will be explored, through methods to create and frame problems. Descriptive, predictive, and prescriptive analytics will be discussed, illustrating the transformation from knowledge gained through problem formation into practice. Creative solutions to open-ended analytics problems will be explored, using data to discover patterns and trends.
Pre-Requisites: EBTM 251; Major in ACCT, BUAD, or EBUS-BSAP; Junior/Senior standing
Text
Evans, James, Business Analytics, 3rd edition, 2020, Pearson Education. TU Direct Access to the etext and Pearson’s MyLab online assignments is required. Students may also upgrade their digital access and add a paper copy as an option. Direct Access will billed to the student individual accounts. eText is accessible via Pearson MyLab with hard copy purchase options.
Learning Outcomes
After completing this course, students will be able to:
· Analyze data
· Build and use models for common decision scenarios
· Analyze support for decisions involving uncertainty and risk
· Manipulate data and perform quantitative analyses
· Develop optimization models and understand their implementation
· Discover patterns in data through data mining
· Apply the three main types of analytics: descriptive, predictive, and prescriptive
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· Analyze patterns and trends in data to create predictive analytics
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· Understand nuances in single-period demand and predict profit for demand
Learning Assessment
The academic programs at Towson University College of Business and Economics are internationally accredited by the Association for the Advancement of Collegiate Schools of Business (AACSB). Each semester, as an ongoing part of this exclusive certification, the Business Analytics and Technology Management Department conducts routine assessment of students’ proficiency in selected dimensions of knowledge, skills, and attitudes (KSAs), as well as content mastery of selected business topics and students’ satisfaction with the learning experiences provided by the department. The methods of such assessment will be communicated by the instructor. Student participation in these assessments, as part of the overall departmental learning program, is mandatory.
Assignments and Examinations
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- 1. JOEL M. NJUGUNA 169 Aiken Ave, # 12 Lowell, MA 01850 (978) 996–8271 jombux@gmail.com Objective Seeking a challenging research position with a concentration in Mathematics or Micro- biology in order to gain a more in-depth understanding of the subject, its applications and implications as it applies to the field of medicine and clinical laboratory research. Profile • Excellent communication and organizational skills • Good problem solving skills • Proven leadership and achievement of results by creating and implementing projects for increased revenue • Strong work ethic and detailed oriented • Excellent computer skills: Use Power Point presentations, Excel, MS Word & Internet search engines • Experienced in Octave, LATEX , Mathematica, Minitab, Tora, & MyMathLab (MML) • Knowledge of chemical, biological and mathematical principles, and of labora- tory instrumentation, method principles and techniques • Analytical ability and judgment to relate to test results to normal or patho- logical states, to resolve technical equipment problems, and interpret quality control data Education Salem State University Salem, MA M.Sc., Mathematics Sep. 2012–June. 2014 • Relevant courses: Lebesque integration (Real Analysis), Computer Applications in Mathematics, Operations research, Cryptography, Mathematical Statistics, Fractal Geometry, Ordinary & Partial Differential Equations, Numerical Anal- ysis and Vector & Tensor Analysis Salem State University Salem, MA B.Sc., Mathematics Jan. 2009– May 2012 • Relevant courses: Probability & Statistics (I & II), Linear Algebra (I & II), Calculus (I, II, III), Abstract Algebra, Theory of Numbers, Modern Geome- try, Finite Mathematics, Introduction to Mathematical Proofs, Introduction to Mathematical Computing (LATEX , Mathematica and Octave) & Senior seminal in Mathematics Work Experience GlaxoSmithKline Woburn, MA Laboratory Manager @ TechMax Labs Aug. 2013–Present • Helped organize drug sampling bronchures
- 2. • Furnished oral contraceptives samples to physicians and complete appropriate documentation in compliance with FDA regulations • Scheduled and organized in-service training for anesthesiologists concerning product use and dosage and employed film presentation and articles from lead- ing journals to facilitate programs • Identified 3rd party organizations to develop new products from prototype to registration • Attends scientific meetings and symposiums to ensure product development for the category stays at the leading edge of trends, developments and technologies • Pro-actively reported and communicates with key stakeholders by utilizing proper tracking mechanisms to manage time lines and budget requirements • Maintained a strong collaborative relationship with other departments to fosters an environment of knowledge sharing North Shore Community College (NSCC) Lynn, MA Learning Specialist, Preparation for College Mathematics Sep. 2009– Dec. 2012 • Met with instructors as necessary to obtain course information that will assist in effective math tutoring • Monitored student progress and proctored quizzes and tests • Created, selected, and developed instructional support materials that recog- nized and addressed individual student needs • Helped students develop positive attitudes towards learning mathematics • Consulted with math faculty, academic success center staff to coordinate aca- demic support for students • Developed a personalized program of learning assistance, helping students de- vise individual action plans tailored to fit their learning needs • Utilized computers for instructional purposes and technology implemented in the learning center • Collected and reported student data as needed to establish baseline, trends, and guidelines • Responsible for the security of all assessment and equipment/materials assigned to the NSCC student success center/extended classroom • Served as Math boot camp Instructor Honors and Affiliations • Recipient, Salem State University Academic Scholarship • Dean’s list (3.8/4.0), 5 semesters • Awarded top Mathematics Award References • Available upon request