Principal Analyst Resume

SUMMARY:

During my career as an R and D Chemist with three well - known, multinational corporations, I gradually morphed into a zealot for Predictive Analytics and Modeling. This led me to an MBA and the study of Computer Information Systems and Prescriptive Analytics. I am interested in contract positions as a Data Scientist, Data Analyst or a similar quantitative role to help companies implement data-driven business decisions.
I am purposely keeping this history short to allow space for some highlights of how Experimental Design, Modeling, and Prescriptive Analytics were used to reduce costs, improve processes and expose unprofitable products.

TECHNICAL SKILLS:

Analysis and Visualization Software: Tableau 10, SAS, JMP; R and related tools; Git and GitHub; MS Office Suite including Access, PowerPoint, Excel, Project, Visio and Word; Visual Basic; gretl; SQL

Subject Matter Expertise: Prescriptive Analytics, Predictive Analytics and Modeling, Technical Marketing, Chemistry, Biology, Statistics, Experimental Design, Testing, Data Analysis, Data Visualization, Training, Technical Writing

Technical Presentation: Invited speaker at regional and national symposia and workshops. (List available on request.

PROFESSIONAL EXPERIENCE:

Confidential

Principal Analyst

Confidential

Project Manager, Adjunct Instructor, Operations Analyst

Confidential

Technical Marketing Manager

Confidential

Systems Consultant

Confidential

Senior Research Chemist, Development Specialist

Responsibilities:

Used a statistical experimental design to develop an unconventional formulation using the residues, products from another division and another application area. The screening design used 16 runs to resolve five main effects plus all possible two-factor interactions.
Saved the $750,000 incineration costs. The formulation also generated revenue from sale of the waste residues.
A $1 million customer was experiencing scrap rates of over 30%.
Conceived, implemented and coordinated a project to improve sampling, testing and manufacturing operations for a $1 million customer. The project involved extensive on-site evaluation, coordination of research, analytical and product management functions, a statistician and an outside vendor.
Reduced scrap rates from 30% to less than 1%, avoided a threatened lawsuit, and saved the costs of pre-shipment samples and returned product.
A $60 million product line (about 175 products in 23 distinct categories) was in financial difficulty.
Used Excel to consolidate transaction data, then to characterize and analyze revenues, costs and margins for the entire product line. The analysis revealed financial performance by technology, product line and individual product.
Uncovered a single product with a negative Contribution Margin of $1,025,000 which was dragging down the performance of the entire $60 million product line.

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