Website: https;//lhdatalab.github.ioGoogle BI certificate - https://github.com/lhdatalab/bianalystFinal project dashboard - https://public.tableau.com/app/profile/laura.datalab/viz/GoogleFiberscenario/Story1Google Advanced Analytics Certificate - https://github.com/lhdatalab/googleadvanced_daAs a child, I thought math was the coolest thing ever. As an adult, I think math is the coolest thing ever. Well, math, films, music, and sports - in that exact order.It is great to use math in science and engineering, but what else is great? Using math or more specifically statistics in business.You have generated petabytes of data. So what? The data is useless unless we can take action from it.- What real world problem can we solve?- What new opportunities can we create for the company?- How can we predict the direction in which the market, the industry or product should go?- How do we consistently lead our competitors?- How do we drive growth and measure performance?Can we use statistics and data to help answer the who, what, where, when and why of a business, customer, product, market or competitor?Yes, we can. Through the use of various tools like R, Python, SQL - Hive, Impala, Hadoop, KNIME, Excel, and Tableau we definitely can.I have a postgraduate degree in Engineering, certificate in Data Analytics, some statistics, finance and management courses under my belt. I have 8 years total experience using various technical tools, data, market intelligence, analytics, strategy and communication to understand the meaning behind the data and to provide business insight to senior management, C-level executives and other great team members.My name is Laura and I am obsessed with data. Combining it with superior problem solving, natural curiosity and tenacity, I use it to help managers gain new insights and make the actionable decisions that drive business results.Specialties: Data science, analytics, statistics, strategy, market intelligence, data-driven storytelling, data visualization, reportingTools - Python, R, SQL - HIVE, Hadoop, Excel, KNIME, Tableau, Oracle, MySQL, MS SQL Server, MongoDB, API, Informatica, ETL, JSON, XML, HTMLMachine learning - clustering, random forest, neural networks, GLMs and more
Listed skills include Analytics, Data Mining, Sql, Project Planning, and 50 others.