Scientist resume examples

• Delivered excellent service by greeting/welcoming all participants.
• Assisted with various aspects of events, including set-up/tear-down and ensuring an adequate supply of project materials.
• Monitored at facility events and in public to keep youth safe and secure.
• Offered personalized support to individuals in need of extra assistance during discovery exercises. 

• Developed and owned the core machine learning feature of the product, a patent-pending behavioral analytics engine for predicting cross-cloud application security threats.
• Architected and implemented the machine learning platform from the ground up in Java, Cassandra, Hive and Spark.
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• Analytic platform monitors multiple cloud applications (AWS, Salesforce, Box etc.) and predicts security threats and breaches.
• Implemented the end-to-end platform for performing user behavior analytics using unsupervised machine learning.
• Designed and implemented algorithms for real-time decisioning Implemented process to capture 500+ behavioral profile features Implemented several high IV features for ML algorithm consumption: (Maximum Geo-distance between users login/day, Fast Geolocation Hopping etc.) Owned the feature end-to-end and worked directly with co-founder/CTO to drive product enhancements.

• Lead several big data machine learning initiatives involving the design, development and deployment of advanced machine learning algorithms that impacted PayPal's core products allowing business to grow and scale to over 150 million customers and process over 3 billion online transactions annually.
• The developed solutions have directly helped PayPal lower losses, improve user experience and increase revenue simultaneously.
• Few key PayPal core products worked on are included below.
• PayPal ATO Models: Designed and developed Neural Network models to prevent account takeover activity at the time of user authentication.
• Performed feature selection from over 2000 features, and applied best practices in Neural Network model development.
• Model accurately captured 81% of incoming fraud activity and resulted in 48bps of reduction of losses for PayPal in 2013 freeing up capital to grow and expand margins.
• PayPal Here Mobile Card Reader: Architected the very first anti-fraud ML algorithm that enabled PayPal here product to expand and scale to over million merchants.
• Designed many new geolocation specific features that showed high IV contribution to the implemented model.
• PayPal Wallet: Spearheaded the development of ensemble models for predicting stolen financial usage at the time of transaction completion.
• Developed Gradient Boosted Trees using GBM package in R.
• Implemented new features using IP, IP-GEO, Velocity etc.
• to improve algorithm performance.
• Designed several tools in R to visualize GBT model and developed process to extract model parameters for deployment.
• Partnered with business and product teams to execute and influence business decision around the solution implementation.

• Managed the design, development and deployment of several predictive modeling solutions that underlie ISO Risk Analyzer portfolio of products which have contributed to significant revenues for the company.
• Few highlights are listed below.
• Lead the development of an expert system to accurately predict a consumer's likelihood of committing a traffic violation.Developed Logistic models for predicting violation probability and Poisson models for predict violation frequency.Incorporated intelligence from 1500 features from 7 different data sources (Claritas, Crime, Traffic Patterns, Business Info, Weather etc.) Tweedie/Compound Poisson Distribution Model Developed and implemented several Tweedie distribution models to examine environmental factor for predicting personal auto risks for calculating insurance premiums.Developed separate frequency and severity models to improve model accuracy.Captured interaction effects between various environment variables such as traffic generator, traffic pattens, population density, weather etc.Risk Analyzer Credit Scoring Module: Designed and developed first generation credit scoring algorithms to predict a consumer's accident likelihood using credit payment behavior.Performed feature reduction on close to 800 credit attributes and applied Multivariate Adaptive Regression Splines (MARS) to detect 2nd and 3rd order interactions effects.Captured non-linearity using splines and piecewise regression.Worked as the analytic manager for the movie advertisement testing product, a high revenue growth initiative for the company.

• Managed 5 statisticians to build predictive models for rating movie trailer/TV spots content on their effectiveness to generate interest.
  
• Provided analytic insights and advice to maximize the impact and reach of client's resources.
• The product served 4 of the top hollywood movie studios and generated over $13M in annualized revenues for the company.
• Movie Trailer/TV Spots Advertisement Testing Product (Predictive models for rating movie trailers, TV spots, print ads etc.).
• Team worked on over 100 movies for most of the motion picture studios-majors, and assisted in building customized statistical models for several mini-majors.
• Provided strategic insights and advice to Hollywood Studios to maximize the impact and reach of clients marketing resources.
• Box Office Forecasting Models: Developed forecasting models to predict weekend box office revenues to help studios estimate accurately a films potential at the day of the release.
• Model used several audience tracking data to accurately predict weekend box office receipts.
• Fox Movie Sequel Study (Client - 20th Century Fox) ? Developed a series of ordinal logistic regression models to compare characteristics and attributes describing several Fox movies.
• Based on the study results, 20th Century Fox decided to produce a sequel to Die Hard in 2007, which was one of the biggest box office hits of that year.

• Managed home healthcare initiative for Missouri's Sinclair School that involved developing a AI system based GPS to optimize hospital resources for saving cost.
• The GPS system incorporated new algorithms for solving multiple-traveling salesman problem in a dynamic setting.
• Researched and applied spatial clustering algorithms in the context of constraint optimization problem.

• Performance of QC testing for small Biologicals company.
• Instrumental in procurement and installation of chemistry analyzer.
• Provided training for analyzer use and maintenance.
• Work in a team environment to produce accurate test results required for product release.
• Inventory management including ordering for QC department.
• Implementation and maintenance of calibration schedule for laboratory equipment.
• SOP generation and updates.

• Reliably produced routine and special chemistry patient results, for a multi- specialty medical clinic Provided expert maintenance and troubleshooting for analyzers.
• Successfully completed competency surveys on a regular basis.
• Urinalysis Serology/Immunology.

• Responsibilities Keep going with Tulane\\'s program.
• Determine the role of Bronchiolaveolar stem cells in asbestos-induced carcinogenesis.
• Also establishing the methods to culture BASCs.
• Then established the growth response of BASC cultures from mice after exposure to inflammatory mediators.

• Determine the role of Bronchiolaveolar stem cells in asbestos-induced carcinogenesis.
• Determine if asbestos induces characteristics of transformation in Bronchioalveolar stem cells (BASCs).
• Established the growth response of BASC cultures from mice after exposure to inflammatory mediators.

• Administrated and estimate the new medical technologies development in hospital.Maintaining, inspecting and controlling the quality of medical records and reports.
• Make key strategic decisions while working closely with hospital clinical research projects and IRB.
• Established and maintain good relationship between pharmaceutical sponsors and community thought leaders.Understand the scientific basis of assigned clinical trials. By communicating product-related information to investigators and institutions, serving as key interface with commercial pharmaceutical and customer base, and play a key role in establishing a relationship with the medical/scientific community.
• Leverage academic credentials and scientific expertise to serve as a key internal consultant to the company.Conduct communications with government health care providers and organizations and developing strategies for new research and development activities.
• Developed and maintain relationships externally through Advisory Boards, professional associations and scientific meetings.Continually improved knowledge, skills and performance based on feedback and self-identified professional developmental needs.
  

Internal Medicine Physician Qingdao Medical College Hospital

• used different method to diagnose certain disease.
• many years of experience with microscopy
• microscopic examination of the optic tissue.
• minor outpatient surgery
• refraction

• Various Hematology tests.
• Micro Agglutination tests
• ELISA
• PCR
• Urine Analysis
• Fecal floats
• Parasitology slide analysis
• Blood Banking
• Protein isolation and detection
• fluorescent Antibodies
• Agar gel immune-diffusion