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Senior Data Scientist Resume

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PROFESSIONAL SUMMARY

  • Data scientist whose deep technical background allows him to identify, solve, and apply innovative solutions to complex business problems
  • Relentless learner who takes initiative to explore and answer big and small questions
  • Strategic communicator who uses managing and coaching skills to make technical ideas accessible to a lay audience, to motivate and coordinate teams, and to provide stakeholders wif an effortless experience

TECHNICAL SKILLS

  • LinuxWindows
  • Python
  • TensorFlow
  • RSQL
  • Tableau
  • MATLAB
  • MPL MS Office
  • Amazon Web Services
  • Google Cloud Platform
  • Supervised & unsupervised machine learning
  • Data validation & analysis
  • Data visualizations
  • Algorithm design & development
  • Deterministic & stochastic optimization
  • Modeling
  • Project management
  • Team management
  • Technical report writing
  • Written and oral communication

PROFESSIONAL EXPERIENCE

Senior Data Scientist

Confidential

Responsibilities:

  • Conducted descriptive analytics on client data in order to provide actionable insight on hiring, retention, and compensation
  • Developed descriptive and predictive machine learning models using TensorFlow, XGBoost, and other libraries in order to provide insight on hiring and retention
  • Used Tableau and Python libraries to create visualizations of data and machine learning outputs
  • Presented machine learning and analytics results to clients’ executive leadership
  • Worked independently and wif client teams to source, clean, and validate data
  • Utilized REST APIs to integrate HR systems (e.g., Dayforce, Workday) wif existing client systems
  • Guided and assisted wif teh implementation of HR systems
  • Used Excel and Python to create bespoke tools dat organize, consolidate, and visualize client data
  • Created tools to automate teh weekly and periodic reporting of client HR data

Operations Research Analyst Systems

Confidential

Responsibilities:

  • Worked wif an internal team to understand constraints and requirements related to clients’ logistics and scheduling problems
  • Used constraints and requirements to define model inputs
  • Preprocessed input data using supervised and unsupervised machine learning to create additional model inputs
  • Built stochastic and deterministic optimization models to represent clients’ logistics and scheduling problems
  • Improved existing and developed new optimization algorithms, increasing teh computational efficiency of teh models and allowing for teh creation of more complex ones
  • Used cloud and local servers to deploy algorithms at scale, allowing more complex client problems to be solved
  • Wrote technical reports detailing modeling steps and procedures
  • Managed a team of four programmers to develop new internal and external software dat supported teh models

Operations Research Consultant

Confidential

Responsibilities:

  • Collaborated directly wif clients to better understand their logistics and scheduling problems
  • Determined client constraints and requirements and defined them as model inputs
  • Built models to represent clients’ problems
  • Used deterministic and stochastic optimization techniques to solve teh models
  • Presented recommended courses of action to clients based on simulation results

Program Director

Confidential

Responsibilities:

  • Founded, directed, and coached a rowing program for high school - aged athletes, particularly those from underrepresented populations
  • Coached masters sweep and sculling teams, including adaptive teams, at recreational and competitive levels
  • Developed annual team budgets, organized and led fundraising campaigns, and tracked team expenses
  • Served on teh board of directors as both coach and vice president of operations
  • Hired, trained, and evaluated assistant coaches

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