QUALIFICATIONS Over two years experience of data analysis at Loyola Chicago University providing statistical analysis plan and generating report, tables, graphs proficient in R and SAS. Proficient in Microsoft Office, Word, Excel and Power Point. Ability to effectively organize and manage multiple assignments with hard deadlines. Great team player and extensive experience and skills in collaboration and communication. PROFESSIONAL EXPERIENCE09 2016toCurrentData Analyst InternEnvestnet Secaucus,NJ, Merge spreadsheets from different sources to create a more compact and centralized data platform for easy updating and data analysis using MS Excel advanced functions and formulas. Data cleaning and data validation of existing spreadsheets to promote a robust data management platform for accurate data entry and data analysis. Train employees on the use of pivot tables and tips and tricks in MS Excel for efficient data entry and analysis.07 2013to04 2014Research AssistantSuny Upstate Medical University Syracuse,NY,Supervisor Drs. Michael Crum and David Rayome Paper Self-employment and subjective well-being A multi-country analysis using the world values survey. International Journal of Entrepreneurship (Published in 2014) Statistical analysis of elements influencing self-employment and life happiness using R studio Literature research on topics of self-employment and satisfaction04 2012to07 2012Accounting InternshipAmica Mutual Insurance Park Ridge,, Provide data management for Accounting Journals using government-secured software Prepare written report of Asset inspection and sorted the documents04 2011to07 2011Finance InternshipSiemens Corporation Wichita,, Sales consultant for financial products and services EDUCATIONExpected in2016totoMaster of Science Applied StatisticsLoyola Chicago University,Chicago,ILGPA Expected in2013totoBachelor of Science Finance and risk managementNorthern Michigan University,Marquette,MIGPA SKILLSComputer Software MS Word, PowerPoint, Excel, Access StatisticalSoftware R Studio, SAS, Minitab, SQLLanguage Mandarin and English  SEP  As a Solution Architect - Data Engineering, you will work for an American multinational technology company focusing on various technological domains such as artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. The job requires expertise in Databricks, a cloud-based data engineering platform. Key responsibilities Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment.Identify and drive new initiatives that enable customers to turn their data into actionable business value and align these initiatives with their business outcomes for continued success.Architect production-level workloads, including end-to-end pipeline load performance testing and optimization.Deliver tutorials and training to drive community adoption (including hackathons, conference presentations, etc.)Work closely with Engineering and Product Management to drive the direction of the Databricks product.Contribute to Databricks SME community. Required SkillsHands-on and technical expertise with Apache SparkProven experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, OLAP5 years Experience working as either Software EngineerData Engineer query tuning, performance tuning, troubleshooting, and debugging Spark andor other big data solutions.Comfortable programming in Python, Scala, or JavaExperience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCPExperience with Development Tools for CICD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces. E.g. Jenkins.Excellent communication skills and comfortable presenting to strategic stakeholdersleadership.Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting.Passionate about learning new technologies and making customers successfulData ScienceML Engineer experience in model selection, model lifecycle, hyper-parameter tuning, model serving, and deep learning, using tools like MLFlow desired. Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer Flexible workHealthcare, including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily-building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized backup childelder care and tutoringMentoring, coaching, and learning programsEmployee Resource GroupsDisaster Relief

ATS compatibility score: 85.0 (Good Fit)