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HR Record

Priya Sharma

Summary

  • Date of Birth: January 8, 1986
  • Job Title: Senior Data Scientist
  • Location: San Francisco, California
  • Current Salary: $145,000

Insurellm Career Progression

  • March 2018 - Present: Senior Data Scientist

    • Leads machine learning initiatives for risk prediction models
    • Built recommendation engine for Marketllm increasing conversion by 28%
    • Mentors team of 3 junior data scientists
    • Published 2 research papers on insurance ML applications
  • June 2015 - February 2018: Data Scientist at FinML Analytics

    • Developed predictive models for financial services clients
    • Specialized in customer churn prediction and fraud detection
  • August 2012 - May 2015: Research Scientist at UC Berkeley AI Lab

    • Conducted research in machine learning and natural language processing
    • Published 5 peer-reviewed papers

Annual Performance History

  • 2023: Rating: 4.9/5 Exceptional performance. Led breakthrough AI-driven underwriting project. Excellent technical leadership and mentorship.

  • 2022: Rating: 4.7/5 Outstanding work on risk prediction models. Strong collaboration with product team and technical innovation.

  • 2021: Rating: 4.5/5 Exceeded expectations with successful launch of recommendation engine. Effective mentor to junior team members.

  • 2020: Rating: 4.3/5 Strong performance despite remote transition challenges. Maintained high-quality model development.

  • 2019: Rating: 4.6/5 Excellent contributions to fraud detection systems. Recognized for thought leadership in ML applications.

  • 2018: Rating: 4.2/5 Solid first year. Quick to understand insurance domain and apply ML expertise effectively.

Compensation History

  • 2023: Base Salary: $145,000 + Bonus: $25,000
  • 2022: Base Salary: $138,000 + Bonus: $22,000
  • 2021: Base Salary: $130,000 + Bonus: $20,000
  • 2020: Base Salary: $122,000 + Bonus: $18,000
  • 2019: Base Salary: $115,000 + Bonus: $15,000
  • 2018: Base Salary: $108,000 + Bonus: $12,000

Other HR Notes

  • Education: PhD in Computer Science (Machine Learning) from Stanford University
  • Publications: 7+ peer-reviewed papers in ML conferences and journals
  • Speaking: Regular speaker at ML and InsurTech conferences. Represented Insurellm at 4 major conferences in 2023.
  • Patents: Co-inventor on 2 pending patents for insurance ML applications
  • Recognition: Data Science Excellence Award 2023, featured in InsureTech Innovation Magazine
  • Skills: Expert in Python, TensorFlow, PyTorch, scikit-learn, SQL, and cloud ML platforms
  • Feedback: World-class technical talent with strong business acumen. Natural leader who elevates entire team. Key retention priority.