Data Scientist, Business Analyst, Market Research
Nielsen Company
Total years of experience :14 years, 9 Months
Data Scientist:
• Scaled analytical capabilities across all business areas, evolving analytics to influence Clients' strategic planning and executives' decision-making
• Applied statistical and algebraic techniques to interpret key points from gathered data
• Used Regressions and Logistic Regressions algorithms to analyze and solve complex business problems. Collected quantitative and qualitative information from diverse sources
• Provided comprehensive analysis and recommend solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods to assess factors impacting growth and proktability across clients' product and service offerings
• Built tools to automate processes such as Regression processes
• Collaborated with internal stakeholders, identifying and gathering analytical requirements for customer, product and projects needs
• Coached, developed and motivated team members, providing coaching and mentoring to junior data scientists on SAS and data mining techniques
• Converted complex data and findings into understandable tables, graphs, by data visualizations in python and written reports for users and clients.
• Developed surveys and questionnaire for use in market surveys then to collect and analyze survey results
Market Research:
• Created documentation outlining research findings for use by project managers, customers and other marketing staff to make accurate decisions about future plans
• Created and presented real-time reports on current market conditions to upper management.
• Forecast marketing trends based on previous data to adjust campaigns and maximize sales.
Pricing Analyst:
• Carefully monitored market trends to ascertain best pricing for company's products
• Developed strong analytical and financial skills, which helped to anticipate market and company needs
• Monitored competitors' pricing activities to make effective decisions that would improve company revenue
• Calculated correct costs for project-specific goods and services by gathering information from team members, sub-contractors and vendors
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