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Nina Lu Email & Phone Number

Lead Data Scientist at National Funding
Location: San Diego, California, United States 7 work roles 1 school
1 work email found @medimpact.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email n****@medimpact.com
LinkedIn Profile matched
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Current company
Role
Lead Data Scientist
Location
San Diego, California, United States

Who is Nina Lu? Overview

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Quick answer

Nina Lu is listed as Lead Data Scientist at National Funding, based in San Diego, California, United States. AeroLeads shows a work email signal at medimpact.com and a matched LinkedIn profile for Nina Lu.

Nina Lu previously worked as Data Scientist II at Medimpact Healthcare Systems, Inc. and Statistical Modeling Analyst at Medimpact Healthcare Systems, Inc.. Nina Lu holds Master Of Science, Statistics from Ucla.

Company email context

Email format at National Funding

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{first}.{last}@medimpact.com
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AeroLeads found 1 current-domain work email signal for Nina Lu. Compare company email patterns before reaching out.

Profile bio

About Nina Lu

• Expert and highly familiar with data science project life cycle, including data extraction, data cleaning, statistical modeling and data visualization• 9+ years of professional experience in working with healthcare claims data• Advanced programming proficiency in Python, SAS, R and related software • Expertise in data product design, implementation and evaluation• Eager to deliver insights and recommend action-oriented solutions to complex business problems• Demonstrated success in managing multiple projects simultaneously

Listed skills include Statistical Modeling, Sas, R, Statistics, and 28 others.

Current workplace

Nina Lu's current company

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National Funding
National Funding
Lead Data Scientist
AeroLeads page
7 roles

Nina Lu work experience

A career timeline built from the work history available for this profile.

Lead Data Scientist

Current

San Diego, California, US

Oct 2021 - Present

Data Scientist Ii

San Diego, CA, US

  • Transforming a $3M program in-house from an outside vender by performing a reverse engineering on logics
  • Architecting, building and maintaining a scoring engine to perform risk assessment on over 450M records of claims annually, which brings in $4.2M savings on average
  • Refining audit rules and enhancing claim scoring algorithms, resulting in 50% increase on the hit rate along with 30% overpayment recovery improvement
  • Forming measurable metrics, conducting dimension reduction and evaluating multi-variate models for pharmacy outlier detection finalized with an embedded model achieving around 60% precision rate
  • Working with software development team to design and create an audit tracking system plus an aberrant billing pattern detection algorithm
  • Constructing and distributing KPI reports to team leaders to evaluate the team performance
Jan 2019 - Sep 2021

Statistical Modeling Analyst

San Diego, CA, US

  • Renovated the approach to audit rule generation by applying decision tree algorithm over 50K NDCs
  • Created dashboards with SAS Visual Analytics to deliver a thorough review on the activities of 58K con-tracted pharmacies across the board, focusing on denied/reversed transactions
  • Modernized data streamlining processes, resulting in a 25% redundancy reduction and decrease in time needed to populate data in data warehouse
  • Automated flat file creation to vendors so as to reduce manual errors to maintain the data quality
Apr 2018 - Jan 2019

Sr. Statistical Analyst

San Diego, California, US

  • Completed the FDA submission of G6 glucose monitoring device which made the company revenue grow 52% in the 1st quarter of 2019 versus the same quarter of the previous year to $280.5 M
  • Led statistical designs and conducted sample size calculations for 5+ clinical trials to improve the accuracy of the next generation glucose monitoring system
Nov 2017 - Apr 2018

Informatics Analyst Ii

Long Beach, California, US

  • Designed and involved in 10+ intervention studies from measure selection, sample size calculation, targeted population randomization, program implementation, process supervision and final project evaluation
  • Built and compared 10+ predictive models on medication adherence member data to detect high risk mem-bers, including data clean-up, filtering and performance evaluation
  • Performed and visualized monthly performance analysis to detect over $116M opportunity per year on risk adjustment and medication usage for management team
  • Offered systematic quality control on Physician Incentive Program, involving $3M payout annually
Nov 2016 - Nov 2017

Informatics Analyst I

Long Beach, California, US

  • Be in charge of 3+ yearly study programs, aiming to identify trends, draw appropriate conclusions and translate analytical findings into member management and budget planning
  • Conducted ongoing performance tracking and success metrics for real time calling system
  • Converted, merged and consolidated data from a wide variety of sources across enterprise platforms to sup-port 50+ internal and/or external data requests
  • Developed the algorithm to identify potential ESRD members, reimbursing the company >$17M
  • Performed Ad hoc analysis to identify significant differences among sources and answer business questions
Dec 2013 - Nov 2016

Business Data Analyst

Frisco, Texas, US

  • Provided a baseline for new application testing by reading in data from 380+ Excel spreadsheets
  • Automated data load from SQL tables to 400+ Excel spreadsheets on the daily basis which replaced the manual key-in process and reduce typing errors dramatically
  • Captured 25% of profit opportunity on production workload by analyzing churn rates
Sep 2012 - Dec 2013
Team & coworkers

Colleagues at National Funding

Other employees you can reach at nationalfunding.com. View company contacts →

1 education record

Nina Lu education

  • Ucla
    Ucla
    Statistics
FAQ

Frequently asked questions about Nina Lu

Quick answers generated from the profile data available on this page.

What company does Nina Lu work for?

Nina Lu works for National Funding.

What is Nina Lu's role at National Funding?

Nina Lu is listed as Lead Data Scientist at National Funding.

What is Nina Lu's email address?

AeroLeads has found 1 work email signal at @medimpact.com for Nina Lu at National Funding.

Where is Nina Lu based?

Nina Lu is based in San Diego, California, United States while working with National Funding.

What companies has Nina Lu worked for?

Nina Lu has worked for National Funding, Medimpact Healthcare Systems, Inc., Dexcom, Scan Health Plan, and Conifer Health Solutions.

Who are Nina Lu's colleagues at National Funding?

Nina Lu's colleagues at National Funding include Justin Thompson, Taylor Gratrix, Christine Taylor, Tara Muren, and Darren Aliff.

How can I contact Nina Lu?

You can use AeroLeads to view verified contact signals for Nina Lu at National Funding, including work email, phone, and LinkedIn data when available.

What schools did Nina Lu attend?

Nina Lu holds Master Of Science, Statistics from Ucla.

What skills is Nina Lu known for?

Nina Lu is listed with skills including Statistical Modeling, Sas, R, Statistics, Latex, Matlab, Quantitative Analytics, and Spss.

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