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.
SAS Job Cost Overview
Typical total cost of oDesk SAS projects based on completed and fixed-price jobs.
oDesk SAS Jobs Completed Quarterly
On average, 13 SAS projects are completed every quarter on oDesk.
Time to Complete oDesk SAS Jobs
Time needed to complete a SAS project on oDesk.
Average SAS Freelancer Feedback Score
SAS oDesk freelancers typically receive a client rating of 4.76.
1) Experienced Spanish/English translator, efficient, creative and talented. Native speaker born and raised in Latin America. I have worked in translation and simultaneous interpretation for over 13 years both in Latin America and the US. Extensive translation work in diverse fields and formats such as full length books, scholarly articles, legal documents, technical and business, workshops and lectures. Also available for editing, proof reading or technical writing work. 2) Applied statistician by training (Master's degree), able to perform complex and insight generating analysis as well as create user-friendly, easily communicable reports and presentations of results. Experience with medical and insurance data Numerous respectable references in both fields available upon request
I love to work with data and create creative reports, flowcharts and many other data-driven tools for my clients. I have a hard-working and flexible schedule and love to come alongside and assist my clients with any kind of secretarial or administrative support I possibly can. Please contact me if you need someone with a great phone and person accumen, a can-do attitude with lots of flexibility and a data-driven skillset to suit your needs. Seasoned Data Quality Analyst, as well as Project Coordinator/Business Analyst with over 8 years of experience in Information & Business Systems. Seasoned Executive Assistant/Administrative Assistant with over 9 years of experience. Experienced in CTMS, Siebel-based platforms, Salesforce, Word, Excel, Visio, PowerPoint, Publisher, FrontPage, Teradata, Paint Shop Pro, Project, HTML & web publishing design, QuickBooks, Acrobat, Business Objects, MyMail, MySQL, SAS, SPSS, BrioQuery, Filemaker, and Pledgemaker. Guru-level design in Excel including V-lookups and VisualBasic programming. In depth knowledge of working within the non-profit sector; experienced in utilizing donor and donation software programs including Grant writer. Excellent communication and interpersonal skills. Enjoy working within the non-profit sector, social services, outsourced solutions and healthcare industry.
Abhishek R. Agency Contractor
I am an Analytics Professional with rich background of analytics, modeling, model validation and reporting in domains of financial analytics, equity valuation, financial engineering, trading algorithms and credit risk analytics. I am proficient in statistical modeling in Forecasting/Predictive Analytics, Segmentation Methodologies, Regression Based Models, Hypothesis Testing, Factor Analysis/PCA, Conjoint Analysis, Scorecard Modeling, Artificial Intelligence (Neural Networks, Genetic Algorithm, etc), Optimization Techniques, Co Integration, VAR, VECM, text scoring, image processing, real time video analysis, etc. I also have a rich experience of building user friendly reports to give better visibility of business and aid Strategy & Planning. I have extensive experience in various statistical tools like R, SAS, SPSS, Matlab, Minitab, Octave, Stat. I am extremely conversant with algorithms. I am skilled in different programming laguages like C, C++, C#, Java, Python, CudaC as well as functional programming languages like F#. I am experience in Big Data analytics like Hadoop using NoSQL, Mapreduce framework, Hive and Pig scripts. I have experience in developing models using Excel VBA. I am currently pursuing CFA (Level II candidate) and FRM (Level 1 Candidate). Demonstrated Success record in: Statistical Arbitrage in Pairs trading strategy using Co Integration, VAR, VARMA, VECM approaches Value-Growth-Cash investing Valuation of Structured Products Sentiment analysis using text scoring (naive Bayes, regressive models, Machine learning and EM algorithms) Market Efficiency analysis to identify pockets of inefficiency in emerging markets Developing statistical models for credit risk estimation for wholesale loan portfolios Developing models for economic capital required under Basel II norms Develop equity and fixed income valuation models Pricing models for products/services in Pharmaceutical sector, Energy sector, etc. ......and many others
Economics/English graduate (Maryland) with experience in creative and factual content writing. Working on personal writing at the moment and looking to take on freelance work to supplement income. Hoping that work on diverse content will make me sharper and help my personal writing. Professional and prompt. Work will be completed punctually and will be of the highest standard. Experienced in everything from dense academic writing, blog pieces, marketing material to creative writing and editing.
I have deep experience working with large data sets to solve complex problems. My background includes working in the areas of Bayesian statistical analysis as well as predictive analytics, business intelligence, data modeling and forecasting. I have worked used my skills in a variety of industries such as energy, manufacturing, finance and aerospace. I also have more than a decade of development experience, primarily with National Instruments Labview, as well as many years of project management experience and my PMP certification.
I am an experienced mainframe programmer/analyst. Skills: COBOL, ITEQ/BTEQ, DBC, EZT+, Unify, JCL, DB2, VSAM, VBScript, SAS. I have also worked as a technical support representative and quality analyst at various call centers. While studying, I have worked as a part-time admin clerk, receptionist, data encoder, and library student assistant. I am quite efficient with my work and can complete my tasks in a timely manner and with minimum supervision. I can type accurately with a speed of 45 WPM. I am currently looking for a home-based position that would suit my capabilities.
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.
Ryan S. Agency Contractor
Management consultant specializing in quantitative and statistical analysis using Big Data. Deep experience consulting in pharmaceuticals and quantitative finance. Expert SAS programmer with 17 years of SAS experience. Pharmaceutical experience centers around commercialization strategy, market sizing and epidemiology, forecast planning, patient adherence, patient outcomes, prescription price sensitivity, co-pay offset programs, market dashboarding, and market landscape. Strong interest and deep understanding of secondary data sources (IMS Health, Premier Hospital Data, SDI, CMS, etc.). Expertise in leveraging data (sales, prescription volume, patient claims data, EMR) to provide solutions to clients' key business questions. Quantitative finance experience creating, improving, and applying stock selection models, specifically momentum models (price, earnings). Other experience includes portfolio construction, backtesting and simulation, multivariate attribution analysis and production. Knowledge of multiple data sources including Factset (Compustat, Worldscope, Thomson I/B/E/S, Factset Estimates, and Reuters data). Specialties: Projects that require managing and analyzing large dynamic datasets. General Skills: Statistics (Regression, Logistic Regression, Cluster Analysis, Decision Trees) Predictive Modeling and Forecasting Commercial Strategy Segmentation Analysis Quantitative Market Research Business and Data Analytics Data Management Social Network Science Key Pharmaceutical Expertise: Sales Force Alignment Co-pay Offset Programs Market Sizing Price Sensitivity Patient Therapy Adherence Patient Outcomes Patient and Physician Profiling Product Launch Strategy Claims Data Analysis Key Financial Services Expertise: Quantitative Stock Selection Modeling Portfolio Management Backtesting and Simulation Multivariate Portfolio Attribution Strong talent in using SAS to process and analyze vast amounts of data to produce results that impact investment and business decisions. Demonstrated history of producing and presenting accurate, insightful, and actionable results to both internal and external clients. Deep interest and skill in quantitative analysis using SAS, R, SQL, Matlab, and various statistics related tools. SAS expertise includes base SAS, SAS/STAT, SAS/GRAPH, SAS/IML, and authoring SAS macros.