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Junior Data Scientist Resume

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Boulder, CO

SUMMARY

  • Data Scientist wif a passion for using data to reduce business costs and optimize processes.
  • Experienced in machine learning and visualizing data to drive growth for a marketing SaaS company. Spearheaded in - depth customer acquisition analysis and reduced acquisition costs by 10% over 2 months.

TECHNICAL SKILLS

Machine Learning: Regression (Linear and Logistic)

Ensemble Methods: SVM and Neural Networks

Bayesian Models: Reinforcement Learning

Programming: R (Caret, NNet, PARTY, e1071)

Hadoop: (MapReduce, Hive, Spark)

SQL: (MySQL, NoSQL)

Python: (Numpy, Pandas, Scikit)

PROFESSIONAL EXPERIENCE

JUNIOR DATA SCIENTIST

Confidential, Boulder, CO

Responsibilities:

  • Reduced customer churn by 30% in 3 months. Analyzed customer touchpoints using R.
  • Achieved an 82% SaaS sales close rate (4 months ahead of deadline).
  • Data cleaning and mining for prediction. (RapidMiner)
  • Compiled and governed data from thousands of orders and marketing campaigns. (SQL)
  • Communicated campaign and order data to clients, CEO, and investors. (ggplot, Tableau)

SOCIAL MEDIA ANALYST

Confidential, Dallas, TX

Responsibilities:

  • Analyzed social behavior data and created a content strategy dat boosted fans by 35%
  • A/B Testing mobile push notifications and in-app messages.
  • Developed insights on well-performing content and forecasted KPIs
  • Presented deliverables on social media performance and recommendations.

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