SummaryHighly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market. HighlightsSTATA programming, R programming, SAS programming, GIS, NVIVO, Microsoft Office ExperienceData Analyst Consultant,09 2014-01 2015C.H. Robinson Worldwide, Inc. ,,Conducting research and assisting with technical analyses of continued issues related to human exposure to contaminants in the environment researching and understanding pollution control operations, and assessing the risks to human health and the environment from the application of wastewater effluent in wetland areas conducting human bio-assays and other laboratory bench work to determine the estrogenicity of wastewater effluent evaluating pollution control technologies evaluating alternatives to wastewater chlorination and overseeing the training of other laboratory assistants.Primary duties included Provided analytical research and technical support for the Zimbabwe Health Results Based Financing Project Impact Evaluation.Duties include Management of data received in the field, building statistical models from the data, and assisting with preparation.EXPERIENCES of summary reports and working papers.Research Assistant,06 2014-PresentSt. Joseph s Healthcare System Paramus,NJ,Primary duties include Applying epidemiologic methods to understand DNA abnormalities in male reproductive health using fluorescence in situ hybridization (FISH) techniques in the GW Men s Health Study (MHS) population Evaluating data collection, conducting data quality control, and utilizing statistical methods to study epidemiological problems in reproductive public health Applying epidemiologic methods to identify and interpret associations between FISH data, urinary bio-marker data, and self-reported questionnaire data from the MHS population sample collection and analysis critically reviewing, abstracting environmental health research Overseeing research proposals, grants, and manuscript preparation Designing, planning and initiating epidemiologic studies using available sources of public health data Overseeing the recruitment of study participants and data collection in the MHS and managing lab associates and graduate students in epidemiologic study protocols and laboratory experiment protocols.Environmental Health and Safety Intern,06 2013-08 2013Alamo Group ,,Primary duties included Critically reviewed environmental safety and health regulations devel- oped Board procedural programs and operating guidance on health environmental risks assessment reviewing workplace projects and providing training in health and safety procedures to Federal Reserve Board employees reviewing and interpreting federal hazard communication legislation to assure Board compliance wrote evaluation reports documenting compliance and recommendations writing program documents identifying roles and responsibilities in areas such as hearing conserva- tion, respiratory protection, etc.Graduate Teaching Assistant,08 2012-12 2015Ohsu ,,Primary duties included Assisting with various environmental and occupational health courses, including Environmental and Occupational Epidemiology and Toxicology Implications for Public Health Policy managing students over multiple courses leading organized classroom discussions serving as liaison between instructors and students and grading of assignments and exams. EducationDoctor of Public Health ,Expected inPresent-George Washington University, Milken Institute School of Public Health-,Washington DCGPA Status-Master of Science Public Health,Expected inMay 2012-Tulane University School of Public Health-New Orleans,LAGPA Status-Public HealthBachelor of Science Biology,Expected inMay 2010-Tougaloo College-,GPA Status-Biology Health Science,Expected inMay 2012-Tulane University School of Public Health-,GPA Status-Health Science Skillsdata collection, Designing, DNA, environmental health, Epidemiology, experiment, Financing, GIS, grants, managing, Microsoft Office, occupational health, programming, proposals, protocols, Public Health, quality control, recruitment, researching, research, safety, sample collection, SAS, STATA, technical support  SEP  At Scale, we are currently expanding one of the most significant hybrid human-machine systems. Our innovative, self-regulating platform automates the training and evaluation of labelers, guaranteeing ongoing quality and efficient allocation. With an extensive network of hundreds of thousands of skilled human labelers, we handle billions of annotations every month, presenting a range of fascinating technical complexities. Our team, spanning product, systems, and infrastructure engineering, is dedicated to overcoming these challenges, driving forward AI development at an accelerated pace. Join us and be part of shaping the future of AI technology! Example Projects Ship products that allow customers to build, evaluate, and deploy generative AI applicationsUse models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scaleProperly route tasks from customers to labelers for low turnaround and high accuracy.Build methods to automatically measure, train, and optimally match labelers to tasks based on performanceCreate optimized and efficient UIUX tooling for Scalers to complete hundreds of complex tasksBuild robust machine learning models to automate requests and improve our labelers efficiencyDevelop new AI infrastructure products to visualize, query, and explore Scale data Ideally youd have Currently pursuing a degree in a relevant field and are a rising junior (fall 2024, spring 2025) Product engineering experience such as building full-stack web apps, and integrating with relevant APIs and servicesSystems engineering experience with real-time and distributed system architectureExperience building systems that process large volumes of dataExperience with Python, React, Node.js andor MongoDBNow taking applications Summer (MayJune - AugustSeptember) Internship About Us At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. Weve recently raised 325 million in Series E funding at a valuation of 7B and are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance andor a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations scale.com. Please see the United States Department of Labor s EEO poster and EEO poster supplement for additional information. PLEASE NOTE We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.