I have more than four years of work experience in data management and validity checking in statistical analysis, with additional expertise in programming with R, STATA and SAS. Skilled at designing and analyzing epidemiological studies, having completed training in statistics for epidemiology, impact evaluation in health interventions and targeted learning. Have facilitated training courses on basic statistics, epidemiological statistics and R and STATA. I have facilitated STATA training for more than 150 researchers. I have experience in machine learning field too and I have conference paper in this field. Also I have completed machine learning course from coursera. Specialties: Bio-statistical techniques, Causal Inference, Machine Learning, Data Mining Core computing skills in R, STATA, R, SAS and SPSS
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My career as a Statistician has led me to specialize increasingly in the analysis of experimental data using statistical packages such as SAS, SPSS, STATA, CSPro. I have experience in: collection, analysis, interpretation or explanation, and presentation of data; data handling and management; and, developing and maintaining large databases. My involvement in different trainings and short courses offered in the institute, together with my own analytical background and interests have made me confident in analyzing experimental data using the SAS software.
Mohammed Waris Agency Contractor
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Nearly 4 years of experience in business analysis, business research and client relationship management. Presently working as Analytics Manager with Capillary Technologies B.Tech (Hons.) in Instrumentation from IIT, Kharagpur Deft at Data Analysis using SAS, Excel with VBA. Experienced in market mix modeling, risk modeling, design of experiment, customer segmentation, cluster analysis, and various other statistical models towards the accomplishment of organizational goals. Skilled at articulation of complex project issues by improvement of workflows and project planning Key Result Areas: Identify the business problem of the client by interacting with the client. Critically evaluate the data provided and relevant information gathered from various sources, Resolve conflicts, missing values in the data. Through a relevant statistical analysis decompose the high-level information into details, abstract up from low-level information to a general understanding. Communicate the results of the analysis to the client, and thereby facilitate the client in making a well informed decision to resolve the business problem.
I have strong grip on the areas which we cover in statistics like Regression Analysis, Time Series Analysis, Forecasting, Market Research, Statistical Inference, Generalized Linear Modeling, Multivariate Analysis, etc. I have very good working experience on different business consulting, Market Research, Statistical,Business Analysis projects. Currently Working with Different Clients. Job Description: •Understand the scope and dimensions of the project and create a rough picture of the analytical plan to be conducted. •Regular interaction with the client and project managers to get an exact picture of the project. •Analyses of data to come up with key insights from the raw data using softwares like SPSS, SAS, Excel and others. Measure Areas of Strength: Econometrics, Logistic Regression, General Linear Model, Statistical Methodology, Statistical Inference and Applied Statistics. I have done many market research projects,Business Planning project, Surveys.
I use econometric and technical analysis to design algorithms for trading currencies, futures, and equities, which can be automated if desired. I bring a unique perspective to algorithm design by using academic rigor to design practical (and frequently non-academic) systems. I am also an experienced general statistician with education in actuarial sciences. Statistical consultant with experience serving the following industries: - Stock, Options, Forex, and Futures traders - Biomedical statistics - Subscription Services - Real Estate - Machine Learning - Casinos / Professional Gamblers - Geolocational Statistics Fluent in: - R - SAS - C++ - TradeStation EL - ExcelVBA - OxMetrics - STATA - Native fluent English speaker
An experienced and highly motivated Business Intelligence Developer with a proven track record of delivering projects on time and in budget. I have a wide range of experience of using the MS BI Stack (SSIS, SSAS and SSRS) including design, development and implementation. My attention to detail ensures solutions are accurate and provide valuable insights in the decision making process. Major Achievements: 1. Designed and implemented a BIML-driven Data Warehouse using SSIS and SQL 2012. This included a front-end made up of SSAS cubes, SSRS reports and data delivered via MS Excel. 2. Designed and implemented a BIML-driven data migration project using SSIS and SQL 2012. 3. Designed and implemented a payment processing solution that processed over £10m of payments a month from 4 separate systems using SSIS and SQL 2012. 4. Implemented a number of Data Warehouse solutions using the Kimball Methodology. 5. Successfully created credit scorecards using SAS, which increased sales capacity by 200%. 6. Designed and developed a number of CRM solutions for clients for company's in the Pharmaceutical and Pension fields.
• Over Eight years of experience in the field of Information Technology, Project Management, System analysis and Design, Data warehousing, Business Intelligence, Software Development and Banking (domains include but not limited to Finance, Risk, Compliance, Information Technology, Human resources, Retail, Corporate, Treasury, Marketing, Operations). • Experienced in managing / executing projects related to Data Mining, OLAP, Predictive data modeling, Predictive Analysis, Customer Lifecycle management. • Experienced in managing / implementing large scale complex projects involving multiple stakeholders and leading and directing multiple project teams • Track record of delivering customer-focused, well-architected, quality products on time, while adapting to shifting and conflicting demands and priorities. • Experience in Data warehouse / Business Intelligence developments, implementation and operation setup • Expertise in Data warehouse Data Extraction, Data Integration, Data warehouse architectures, Transformation, and Loading (ETL), Database Administration, Master Data Management and Business Intelligence Dashboards. • Excellent track record in developing and maintaining enterprise wide web based systems and portals (Recruitment, Corporate intranet Portals, Enterprise wide solutions and Banking Systems)