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professional experience of 8+ years. strong in Tableau (Tableau desktop and Hyper API), SQL (database design, stored procedures, views, functions and Database/query optimization), Alteryx (holding advance level certificate), SSIS and SSRS (formatting + report building). also, have hands on experience on python and worked on number of automation projects.
Senior BI/Data Analytics Consultant, a committed software engineer who seeks to develop elegant solutions to business challenges. My driving force is the passion that pushes me to seek new heights and keep learning the latest ideas, platforms, frameworks, tools, and best practices. I believe in a world of personal and professional growth for all of us and in this spirit, I am always ready to learn and offer to share my expertise as a mentor and a Codementor.
More than 6 years of Analytics experiences across Retail, telecom and manufacturing domains.
Machine Learning Engineer & Data Scientist. Advanced user of the Python libraries for data processing, predictive models, and visualization. AWS ML Specialty Certified. Passionate about elegant code, automation, and model explainability. And recently (past year), most interested and active in NLP and LLM applications, especially: \* custom document parsing/informatoin extraction, \* neural/hybrid search and \* Retrieval Augmented Generation (RAG) systems (e.g. chatbots informed by neural/hybrid search to reduce hallucination) on custom/private document sets. Highly adept at optimizing speed/performance of python data science workloads via just-in-time compilation strategies (numba, pypy, or even sometimes a rewrite in Julia), or horizontal scaling to distributed compute on cloud infrastructure. Though honestly that step is needed less frequently than most clients seem to expect; usually optimizing for code clarity, safety, and development iteration speed proves more valuable in my experience. Look forward to hearing from you if you have something that I'd find interesting and fun to work on.
I am a Machine Learning developer and Data scientist Team Lead. I am use R, Python, Julia, and Scala daily and have extensive experience with machine learning both at a user-level and at a developer level. I develop a number of popular data science/machine learning open-source packages including diskframe.com - a larger-than-RAM data manipulation framework in R and JLBoost.jl - a hackable gradient tree-boosting library and XGBoost-like in pure-Julia. I have been working in the finance industry for over 10 years specializing in building credit risk models using Julia, R, and SAS. I have lead projects in provisioning (IFRS9), stress testing, capital (Basel II/III), and application/behavioural scorecards. I hold a Master of Statistics and a first-class honours degree in mathematics.
10+ years experience with SAS (last 4 within application development). I'm an ex-SAS employee and a top contributor to the SAS tag on Stackoverflow.
I've been working with teams and projects related to Analytics, Data Science, Data Mining and Machine Learning for over 13 years, having helped dozens of people and companies to become more data-driven. For the last 5 years I've been working in the Financial Services industry, with topics such as Credit Risk, Credit Limits, Risk Modelling and Affordability Assessment. I own a Bachelor degree in Statistics and a post-graduate degree in Finance, being a former president of the Regional Council of Statistics in Brazil. I have also worked as a Data Science professor and have helped multiple researchers in the quantitative analysis of their papers and projects.
# **SHORT BIO** I turn data into cash 💰 Discerning business maverick with 13 years experience leading and building data science products, statistical models, and machine learning algorithms. Motivated, thought-provoking leader with a strong entrepreneurial spirit and an astute sense of brand efficacy. Several years of experience in hiring and managing teams and building data science and analytics operations from the ground up by deploying models and data products as integral, value-added necessities to the day-to-day business operations. # **SKILLS OVERVIEW:** **Programming Languages** - R, Python, SQL, SAS, Julia **Cloud** - Microsoft Azure, Google Cloud Platform **Software** - Databricks, Azure Machine Learning, Alteryx, Google Cloud AI, Google Analytics, Twilio Segment CDP **Machine Learning** - Regression Analysis, A/B Testing, Time Series Forecasting, Cluster Analysis, Principal Components, Random Forests, Gradient Boosting, XGBoost, GLM, H2O AI, Product Recommenders, AutoML **Databases** - Azure SQL, Microsoft SQL Server, Google Big Query, AWS MySQL, PostgreSQL **Visualization** - Excel, PowerBI, MicroStrategy, Tableau, Mode Analytics **Web Frameworks** - Shiny, HTML, CSS, JavaScript, APIs **Project Management** - Jira, Workfront, Agile, Kanban, Six Sigma, Confluence, Microsoft Teams, Slack, Miro # **CONFERENCE AND EVENT TALKS:** **Data Science Salon - Miami, FL - Feb 8-9, 2018:** https://www.youtube.com/watch?v=6W24QQx72JI **Data Science Salon – Dallas, TX – Apr 27, 2018:** https://www.youtube.com/watch?v=YV8brwe-bWA **South Florida Interactive Marketing Association – Miami, FL – Jul 18, 2019:** https://sfima.com/event/customer-personalization-using-ai-the-easy-way/ **Miami Python Meetup Group – Royal Caribbean HQs, Miami, FL – Aug 15, 2019:** https://www.meetup.com/python-miami/events/263777763/ **Marketing Analytics and Data Science Conference West – San Francisco, CA – July 28-30, 2020:** https://informaconnect.com/marketing-analytics-and-data-science-west/speakers/ # **DATA SCIENCE AND AI ARTICLES:** **Automated Time Series Forecasting in R –** https://www.remixinstitute.com/blog/automate-your-kpi-forecasts-with-only-1-line-of-r-code-using-autots/ **Business AI for Small-to-Medium Sized Businesses -** https://www.remixinstitute.com/blog/business-ai-for-small-to-medium-sized-businesses-with-remixautoml
Software engineer with diverse corporate and academic experience in a variety of technologies and industries, most recently focused on advertising technology. Having worked in a small startup team, as well as large corporate environments, I have experience in and enjoy working on the every level of the engineering stack. I have server-side experience using PHP, Python, .NET, and Perl. On the front end I have experience working with Javascript, HTML, and CSS. Additionally, I have experience with a vast array of the tools used to get the job done. I consider myself technology agnostic, and enjoy working on interesting products, cutting edge technology, and solving daunting problems. I work very well in cross functional teams, bridging the gaps between business and product, product and engineering.
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