I am an Economist with B.Sc. in Financial Management, with a PC competitive edge and maths oriented High School background. I especially enjoy the "numbers" facet of Economics, statistics&maths calculations and computer work, which led me to my work experiences in - credit analysis - rates calculations&conversions - warehouse administration&sales of goods requiring calculations regarding measurements I also welcome the “people” facet of Economics, especially after long hours in front of the Excel cells, such as my work experiences of: - constant e-mail&phone communication for acquiring costs - person-2-person B2B sales etc. Regarding software, I have wide PC knowledge backed with official work experience in: - data entry - fast, with proven precision even on short deadlines - Microsoft Excel, PowerPoint, Word & Outlook; - Adobe Photoshop and Corel Draw - Macromedia Dreamweaver - basic experience - SQL server based warehouse application, including responsibility for head-to-head meetings with Head of IT support company regarding application requirements and development I have good general understanding of programming languages&databases and web page design which, although I do not offer professional web design or programming services, enables me to creatively apply my economic & maths knowledge in taking the initiative to suggest solutions and improvements, bearing in mind your specific business' economic&accounting needs VS general software&programming languages capabilities&limitations.
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I am an expert data scientist. I have academic and industrial experience in machine learning and applied statistics. I hold 2 MSc degrees (awarded with distinction), and I am currently finishing a PhD in machine learning and applied statistics from one of the best institutions in Europe. I am familiar with both statistical methodologies (such as linear regression, generalized linear model and logistic regression, clustering, mixed effects, models for time series such as ARIMA) as well as machine learning/data mining techniques (such as neural networks, decision trees, support vector machines, Gaussian processes and deep learning). Throughout my 5 year experience with the sector I have analyzed tons of datasets from various different domains (from business, to sports to text). There are two things that I believe set me apart from the competition: 1) My breadth of knowledge. 2) My communication and reporting skills. Feel free to contact me about any data-related problem.
I'm seeking responsibility to improve products, systems, and services for customers, while continuing to develop technical, professional, and scientific skills. 13 years managing and delivering customer requirements remotely and on-site 11 years working in global environments 8 years production support and control 6 years in regulated environments 6 years managing and supporting global fixed income trader's applications and systems 6 years software development and DB administration 1.5 years business development Languages: C, C++, Java, C# R, Python, PERL VBA, ASP SQL OSs: Linux: Ubuntu, Arch Mac OS UNIX Win Vista, XP, 2K, NT DBMS: CouchDb MySQL Oracle, SQL Server PostgreSQL Dev Tools: Vi/Vim Git, SVN, SourceSafe .NET MS Visual Studio Rat. Rose S-Designer
I'm an investment analyst with specialties in portfolio asset allocation, mutual fund research, and macroeconomic analysis. I'm a CFA Charterholder and I know my way around Excel. Projects include: - Investment comparisons (ex. organizing metrics for mutual funds, stocks, hedge funds, ETFs, etc and comparing/ranking to filter) - Performance analysis - Fee calculations (ex. performance fees with hurdles/high water marks) - Correlation and regression analysis - Accounting spreadsheets - Financial statement analysis - Ad hoc excel work including VBA/macro
Key Strengths: Project Management Financial Reporting Financial Modeling Business Process Design Small Business & Personal Finance Strategies Data Mining SEO Strategies Google Adwords Commercial Banking Real Estate Analysis & Valuation 17 years of experience working in various financial services roles including: Large Consulting Firm Project Management - Managed Multi Million Dollar Project Engagements Wall Street / Institutional Structured Finance and Consulting Experience Commercial / Real Estate Lending - Managed Multi Million Dollar Real Estate Portfolio Real Estate Investment & Valuation - Managed projects up to $250 Million in size
Blend of programming, data analysis, and communication skills. 18+ years experience. 60+ happy clients, 20+ testimonials and recommendation letters. I can improve functioning of your business properly making use of the data gathered in your company. This will give you competitive advantage over your competition. I analyse data, build statistical models, optimize business processes. The results and the conclusions are presented as readable and comprehensive charts and reports. I develop software for data analysis. See more info if needed: * Trainings in data analysis and R: http://quantup.eu/trainings/ * Data analysis services: http://quantup.eu/analyses/ * Scoring and predictive models: http://quantup.eu/analyses/scoring-and-predictive-models/ * Quality of work and clients: http://quantup.eu/quality/
Manage all quantitative and qualitative research such as customer surveys, voice of the customer and ethnography research for Innovation and New Product Development teams in the early stages of the development cycle. Providing analytic data to define the market size, competitors and financial opportunity for new platforms and product ideas. The information is then used to make decisions in selecting innovation projects and creating business and development plans.
I have years of experience with Matlab and I'm very productive with it, whether it's algorithm development, visualizing data or creating GUIs, for example. I'm also well versed in Python and I can provide a working software version quickly with rapid iterations with feedback from the client. I have also professional experience with C++, C# and Java, and I can bundle them into the project as needed. I have a PhD in physics and I've been working in different positions ranging from project manager and developer to customer service and helping sales. I can translate your problem into working code, and, if needed, refine the project requirements based on your business case. Below are few examples where you could gain tangible benefits from my experience - Matlab development of all kind, e.g., algorithms, GUIs, full applications - Data conversion and processing from one or multiple sources - Implementing algorithms based on scientific publications - Converting algorithms from another language to C++,C#,Java, Python or Matlab - Data analysis and visualization - Requirement analysis & management, e.g., reading texts and extracting measurable requirements from them with traceability to the source - Measure requirements quality by classifying them, e.g, is there an acceptance criteria, is this a system or user requirement, does the requirement have multiple requirements in it. - Creating and writing acceptance testing procedures with traceability to the project requirements I can work on both Windows and Linux platforms. Looking forward to working with you! Kari References: - LinkedIn: http://fi.linkedin.com/in/karihirvi - GitHub: https://github.com/karihirvi - Some older material in Google code https://code.google.com/a/eclipselabs.org/p/capua/
I completed my BSc in Biomedical science at Cardiff University, graduating in 2010. I went on to obtain a MRC capacity building studentship in stem cell research and stayed at Cardiff University to undertake a PhD in stem cell research and cartilage regeneration, under the supervision of Prof Charles Archer and Dr Ilyas Khan. During my PhD I completed the training modules of the Mres course and later went on to help with the teaching of the advanced statistics for subsequent years, expanding my experience with the 'R' statistical packages. I have been extensively involved in the teaching and demonstrating the 'R' statistical analysis course for Mres students and PhD students at Cardiff University It has given me valuable experience in teaching students and modifying teaching methods to suit individuals. I currently work as a Project manager for SciTech innovation programs in business and innovation at the NEF. I led on the development of a number of STEM strategies that have helped organisations to reposition and differentiate their offers. I currently hold an honorary post doctoral research associate position at Swansea University, contributing to plastics and orthopaedic research and medical innovation.
Over the last 20 years, I've developed a wide range of tasks about statistical models, including software development, model building and massive data catching and handling. I'm specialized in bayesian models, both dynamic (ARIMA, VECAR, Bass diffusion) and static ones (Probit, Logit, Counting Regression) applied in multiple real world problems like sales forecasting, churning, pricing, quantitative marketing, macroeconomic and commodity forecasting, for dozens of medium and large enterprises in several sectors as telecom, finances, energy, mining, retailing or agriculture. There are some examples Telefónica (ARIMA-Bass hierarchical models to forecast launching of new products) Livraria Cultura ([Brazil] Massive X-ARIMA Models to forecast millions of pairs SKU-store Vale do Rio Doce ([Brazil] Models forecast of iron ore prices) Monsanto ([Brazil] Bayesian model to forecast area planted with winter maize in Parana and Mato Grosso) Coke (Effect of long-term advertising) Bayes (Combination of macroeconomic forecasts) La Voz de Galicia (daily distribution for point of sale and promotional analysis) Banco do Brasil (Demand Cash) Attentive Chile (Charning) Scrapping and storing of world meteorological gridded hourly data and forecast Telefónica (Indexed query language over compressed binary data) Bahía de Bizcaia (Electricity price schedule) Telefónica (Launch anlysis of broadband product Imagenio) TeleSP (Promotions and churning) TeleSP (Brazil) (Application of lines and consumption by type of traffic) Microsoft Business Solutions (forecast sales and product classification of ERP Navision partners) FEDA (Andorra) (hourly consumption and optimization of hydropower resources) Telefónica (Analysis of competition and churning) Mercadona (sales forecast for the optimization of resources) Credit and Surety (macroeconomic model for pricing) CATSA (Canal +, CSD) (forecast calls and optimization of HR for the call center) ENUSA (On-line calculator for statistical functions) Recoletos Group (MARCA) (Sales and promotional analysis) Telefónica (automatic ARIMA modeling of time series) I'm experienced in C++, SQL, R, PHP, Python and I've created the open source programming language TOL (Time Oriented Language)