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)
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Simply put I love solving real life problems through mathematics and data science is the ideal way to keep enjoying science while answering exciting business questions and turning ideas into business opportunities. As applied mathematician, I will combine my experience of interdisciplinary scientific research and of international team work. I worked in ONERA, the French aerospace lab during my awarded PhD in applied probability and succesfully at BASF in the polymer engineering department as a model developer. Besides, I have completed this experience with statistics skills and machine learning knowledge. Furthermore, I have a friendly communicative personalty. Actually, I can convey technical content in a very simple way. The clarity and the simplicity of my communication style precisely earned me the ONERA PhD Award 2011 atop the quality of my research and my publications. I know how to walk my audience through a technical problem so that the added value is seen and understood, which is the alpha and omega of creative discussion and innovative solutions. Eventually, my appetite for international environment led me to become the president of the local group of a Pan-European student network and will facilitate working with colleagues from all over the world. I would be delighted to add my skills to the success of your projects.
Expert-level R programmer with a Masters in Biostatistics from UC Berkeley. Comfortable with Python and UNIX/Linux shell script. Adept at translating business needs to analytical solutions. Thorough understanding of major statistical algorithms used in tech, science and engineering. Background includes work for start-ups, entrepreneurs and business professionals. Talented at communicating technical terms in clear, understandable high-level language. Great social and interpersonal skills allow for a multidimensional and effective method of implementing data analytics into any environment.
Tony Ojeda Agency Contractor
To use my knowledge and experience in data science, finance, business strategy, management, and entrepreneurship to to help businesses solve problems. Over the last 8 years, I've worked in a variety of roles for companies and also started my own software company. I have experience doing everything from creating reports and conducting statistical analysis to managing people, from analyzing business scenarios to making strategic decisions. I possess a variety of skills (see below), but what really sets me apart is my creative problem solving. I have a unique ability to process information very quickly, understand a situation, and formulate a framework for how to solve problems before I even physically begin working on a solution. This, combined with my technical knowledge and ability to execute, allows me to work extremely efficiently and get amounts of work done in periods of time that others cannot. Skills: Data Mining & Analysis, Data Science, Predictive Analytics, Machine Learning, Financial Modeling, Process Automation & Optimization, Business Planning, Strategy Formulation & Execution, Project Management, and Entrepreneurship. I'm also a native English speaker and writer and have excellent communication skills in both. Technical: Advanced proficiency in Microsoft Office (Excel, Access, Word, and PowerPoint) and Visual Basic for Applications (VBA). Proficiency in HTML, AS400, R statistical programming, Tableau business intelligence software, and SlideRocket presentation software.
Undergraduate Student of Physics and Astrophysics, University of Florence (IT). Qualified in R programming, SQL, Python and C++. Specialisation: • Data analysis • Data visualisation • Descriptive and predictive data mining Methods and Tools: • Statistical Analysis • Programming in R • SQL, Python, C++
Professional experience spans 12 years; 7 years working as a biomedical engineer for a government lab, followed by 5 years experience working as a Sr Staff Scientist with a Biotech company. Expertise in the development of automated biological detection systems for detecting biological and chemical threat agents; microfluidic systems and systems integration; basic and advanced bimolecular techniques utilizing high tech lab equipment; applied microbiological techniques; DNA and RNA applications including various methods in DNA and RNA sequencing and complex genomic data analysis methods. Writing experience: Author of several scientific abstracts, posters, and invited speaker to national conferences. Co-author to several scientific publications. Experience writing white papers and submitting grant applications to NIH and government agencies, as well as patent applications. Extensive experience writing reports to government agencies requiring tedious documentation of scientific data. Routine writing of technical methods, protocols, and peer-review/editing of various scientific documents for colleagues. Data Analysis/ Presentation Experience: 13+ years experience creating excel databases and data graphics for presentations and marketing purposes. Focus on generating industry-standard data sets using sound and trusted methods.
I have 10+ years of experience in the software development, including 5+ years of experience in creating architecture of high-loaded Internet projects. Currently working mostly with data science and machine learning projects. I have about 1 year experience in Kaggle competitions. I have great experience of using machine learning algorithms in real commercial products. Main area of expertise are: - Machine learning: Classification, Regression, NLP with Python - Numpy, Scikit-learn, Scipy, Pandas (3+ years of experience) - Big data: Hadoop, MapReduce - Intelligent WEB Scrapers development: Python + Scrapy (2+ years of experience) - Internet marketing and analytics: Google Analytics, A/B testing, SEO, SEM, Social media (8+ years of experience) - Custom web applications: Python + Django (3+ years of experience) - Software architecture: (5+ years of experience) - Project management: (5+ years of experience) Software stack – Python, numpy, scipy, scikit-learn, pandas, matplotlib, Mahout, Django Cloud – AWS Cloud, Rackspace- Open Stack. High Performance computing through parallel computing – AWS cloud, Hadoop. SQL - MySQL, PostgreSQL, MSSQL NoSQL - MongoDB, Redis. Why work with me: 1) I am always willing to go extra mile to satisfy project requirements 2) I have skills in multiple disciplines, which allow me to choose the best solution for the ultimate goal (proper technologies stack selection, etc.) Feel free to reach me in case you have a really hard problem, which may require either very deep domain experience or experience from different areas combined. I have a master's degree in Computer Science from leading national university (NNSU).
Competences: - Predictive analytics and machine learning - Modelling and testing (A/B, multivariate) - Web analytics and conversion optimization (Google Analytics API, RGA) - Customer loyalty and sales analytics I can put my hands on raw data, extract insights from it, and provide consultancy on results interpretation and application, as well as build predictive tools based on machine learning (R,SQL, cloud technologies). I’ve been converting data into insights for 11 years, the domains of expertise include retail, media, e-commerce, and banking.
I am highly educated and experienced licensed science educator and researcher with a strong and diverse supporting skill-set including scientific research, academic and creative writing, leadership, communications, creative problem solving, computer programming, web development, math, marketing, and the arts. I am also a published and award winning fiction author. I hold five degrees in four separate disciplines including liberal arts, history, secondary science education, and geoscience. My background includes work in art, history, education, business, real-estate, economics, geoscience, and satellite meteorology.
A hardworking, resourceful and ambitious economist / analyst / ME expert with 9 years of experience with sound understanding of economic theory and its practical implications. Have a sufficient experience of working as Economist, Research Analyst and of working on development project ME / Management, Report writing and economics teaching/ tutoring etc. Moreover, also has experience of undertaking analytic work and research projects, whilst working in a team environment with multiple priorities and tight deadlines. Having an active commitment to continuous improving quality standards when performing statistical analysis of industrial and economic data.