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Lead Data Scientist Resume

Palo Alto, CA

SUMMARY:

  • Over 15 years in consulting with hands - on experience in statistical analysis and machine learning using industry-wide statistical tools
  • Provide data-driven insights to internal and external clients to solve business problems
  • Advise on new analytics technologies to help clients achieve business goals
  • Support business development team by identifying analytics service offerings for clients and creating use cases to solve business issues estimating

TECHNICAL SKILLS:

TOOLS: Python’s SKLearn, R, Apache Spark, NoSQL (MongoDB), Hadoop, Tableau, SAS

EXPERIENCE:

Confidential, Palo Alto, CA

Lead Data Scientist

Responsibilities:

  • For a global financial services provider, created:
  • Pattern detection model to find hidden patterns in transaction rejections using clustering techniques, association rule, decision trees, etc.
  • A pipeline of models assessing the best performing based on statistical metrics
  • For a national foodservice provider, developed:
  • Purchase patterns using market basket, POS and store performance analyses to bundle products and achieve optimal ROI
  • Dashboards for stakeholders to monitor KPIs
  • For a giant retail merchandiser, built:
  • Product recommender system using collaborative filtering methods
  • Sentiment classifier model to predict reviews using Confidential
  • For a global manufacturing company: developed topic models to analyze the transcripts of its call centers

Confidential, San Francisco, CA

Analytic Consultant

Responsibilities:

  • Developed a logistic regression predictive model that estimated the probability of the future default of loan applicants using SAS data mining techniques
  • Gathered requirements and matched business problems with modeling solutions
  • Provided data driven insights for decision making purposes.
  • Used SAS ODS for data visualization, maintained dashboards, metrics, and reports

Confidential, Fremont, CA

Managing Consultant - SAP Implementations

Responsibilities:

  • Managed a team of FI/CO consultants.
  • Identified workflow and business process requirements and related solutions over a complete business process including obtaining approvals, documentation, testing and staff.
  • Conducted business process evaluations by interviewing internal and external customers to gain technical knowledge of business requirements.
  • Identified problems, researched alternatives, prepared presentations, drove and implemented solutions for clients.
  • Customized financial reports, analyzed data and reported vital information to management and business partners.
  • Prepared end - user documentation and conducted end-user .

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