Raphaël Ramora Email & Phone Number
Who is Raphaël Ramora? Overview
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Raphaël Ramora is listed as Senior Data Scientist and Engineer at AGENT TECH LLC, based in Houston, Texas, United States. AeroLeads shows a matched LinkedIn profile for Raphaël Ramora.
Raphaël Ramora previously worked as Founder and principal Data Scientist at Agent Tech Llc and Senior Data Scientist at Integral Data. Raphaël Ramora holds Msc Computational Finance And Mathematics from Université De Montréal.
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About Raphaël Ramora
With a decade of experience in Data and Analytics, Raphael brings a wealth of business and technical expertise that increase operational efficiency and revenue generation capabilities for customers in a variety of industries.Raphael specializes in Data Engineering and Infrastructure components of Analytics systems. From design to implementation and deployment, Raphael builds data infrastructures that serve simple use cases such as dashboards to more sophisticated Machine Learning and Generative AI applications. Additionally, he has experience developing web applications for data analysis and consumption.Areas of Expertise: Data Science, Data Visualization, Data Engineering and Warehousing, Cloud Architecture, Agile Methods, Web app development, Machine Learning and predictive analytics, Generative AI
Listed skills include Matlab, Microsoft Office, Programming Languages, Latex, and 8 others.
Raphaël Ramora's current company
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Raphaël Ramora work experience
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Senior Data Scientist
- Stock trading industry: Trading Strategy Research and Development (portfolio available upon request).
- Developed an algorithmic day trading strategy backtester / Risk & PnL engine for stocks to facilitate signal research:o Ingested and processed historical data into the PostgreSQL database, calculating multiple.
- Developed an algorithmic day trading strategy backtester / Risk & PnL engine for stocks to facilitate signal research:o Ingested and processed historical data into the PostgreSQL database, calculating multiple.
- Operationalized the optimal strategy and scenario:o Automated and containerized ETL pipelines for data ingestion and processing using Python, PostgreSQL, Docker, and Airflow, ensuring timely and modular data capture.
Data Scientist
- Hedge Fund Industry: Trading Strategy Research and Development.
- Developed a Proof of Concept (POC) leveraging machine learning to enhance decision-making in a trading strategy for the futures market of a Confidential Hedge Fund.
Senior Data Analyst And Engineer
- Wealth Management industry (a major Canadian bank): Data flow pipeline automation for KYC regulation.
- Migrated a dataflow to AWS for KYC regulations, supporting 850 wealth advisors across Canada:o Mapped and coded transformation rules from on-premise databases to AWS using SQL.o Assessed data quality pre-migration.
- Migrated a dataflow to AWS for KYC regulations, supporting 850 wealth advisors across Canada:o Mapped and coded transformation rules from on-premise databases to AWS using SQL.o Assessed data quality pre-migration.
Senior Data Analyst And Engineer
- Energy Management industry (a Fortune Global 500 company): Data flow pipeline automation.
- Migrated a dataflow to Google Cloud Platform (GCP), utilized by one of the world’s largest hospitals across multiple sites:o Developed ETL scripts in Python to extract data from sensors in Building Management Systems'.
- Migrated a dataflow to Google Cloud Platform (GCP), utilized by one of the world’s largest hospitals across multiple sites:o Developed ETL scripts in Python to extract data from sensors in Building Management Systems'.
Senior Data Scientist
- Created tools to develop an Algorithmic Day Trading Strategy for Stocks.
- Developed analytical routines leveraging machine learning (time series clustering) to generate and backtest trading signals using Python. These routines would be elementary blocks used later on to manage my own stocks.
Senior Data Scientist Consultant
- Telecommunications and Media Industry (a major Canadian player): Client Knowledge Project - Understanding customer behavior through the application of clustering algorithms.
- Developed a clustering algorithm to analyze client consumption patterns, including YouTube video app usage, leveraging Comcast’s user session-level data feed; adopted enterprise-wide by marketing teams for improved.
- Developed a clustering algorithm to analyze client consumption patterns, including YouTube video app usage, leveraging Comcast’s user session-level data feed; adopted enterprise-wide by marketing teams for improved.
- Extracted and analyzed insights from a Next Best Offer Neural Network model:o Developed a Tableau dashboard to monitor campaign performance and operational efficiency.o Built MLOps model drift and data drift dashboards.
Senior Data Analyst And Data Engineer Consultant
- Facility and Energy Management Industry - two Canadian sites of a Fortune 500 company including one of the world’s largest hospitals.
- Led reporting and data engineering initiatives for internal operations: o Collaborated with various teams to define KPIs and gather requirements for reporting during workshops and business user acceptance testing.
- Led reporting and data engineering initiatives for internal operations: o Collaborated with various teams to define KPIs and gather requirements for reporting during workshops and business user acceptance testing.
- Led a self-service BI initiative, providing business lines with Tableau development training and access to automated Tableau Server data sources consolidated through complex SQL queries and stored procedures, resulting.
- Contributed to the integration of the Maximo application into AWS datalake in collaboration with data architects.
- Automated critical monthly reports (energy consumption, performance control) using Tableau, saving 20 hours per month and ensuring data persistence of manual entries into databases.
Lead Data Scientist Consultant
- Automotive industry (US-Canadian network of dealerships): Developed a classification Machine Learning model to predict the likelihood of a sale after a car price drop.
- Documented, coded a model using Scikit-learn in Python and collaborated with team members on Github.
- Managed milestones ' project in Agile mode with Asana.
- Created the pipeline to put the model into production on Google Cloud Platform.
- Led a data science team of 2 members for data visualization and… Show more Automotive industry (US-Canadian network of dealerships): Developed a classification Machine Learning model to predict the likelihood of a sale.
- Led a data science team of 2 members for data visualization and delivery.
Data Scientist Consultant
- Tax Advisory Industry: Management and tracking of tax payments for cryptocurrency portfolios.
- Won a K$ 10 award in a team of 4 people within a Fintech organization.
- Developed a web application to manage cryptocurrency transactions and calculate tax payments, featuring a fully functional user interface, error handling and database design using Django and Requests to scrap.
- Prepared the pitch and pitched the Value Proposition to the Vice Prime Minister of… Show more Tax Advisory Industry: Management and tracking of tax payments for cryptocurrency portfolios.
- Prepared the pitch and pitched the Value Proposition to the Vice Prime Minister of Québec and banking professionals. Show less
Data Scientist Consultant
- Telecommunications and Media Industry (a major Canadian player): Developed a classification Machine Learning model to predict subscription likelihood, enhancing marketing effectiveness.
- Interacted with the Project Manager and the client to develop the data model with relevant data sources, gave feedback about data quality
- Created the analytical base in an automated fashion and used statistical algorithms in SAS/SQL: feature selection and creation of KPIs, application of a logistic… Show more Telecommunications and Media Industry (a.
- Created the analytical base in an automated fashion and used statistical algorithms in SAS/SQL: feature selection and creation of KPIs, application of a logistic regression model
- Provided detailed verbal and written documentation, presentations of modeling techniques and methodologies
- Delivered actionable insights to the marketing service with non-technical and corporate terms with dashboardso Snapshots of scores: lift, model performance, influence of variables on targeto Snapshots per campaign of.
Maths And Stats Undergraduate Teaching Assistant
Corrected Differential Calculus exercices to undergradsElaborated dynamic and interactive teaching strategiesGot several students for individual private tutoring in mathematics: statistics, numerical series and linear algebra
Data Scientist Intern
Modelling customer lifetime value of individual customers with Markov Chains:- Helping collecting data from internal databases to create the sample for algorithms - Understand drivers of purchasing behavior to model buying transitions - Cluster customers in homogeneous groups with criterion of generated return with different algorithms ( neural nets.
Data Scientist Research Intern
Statistics Laboratory, Centre de Recherche en Economie et Statistiques (CREST) linked with INSEE (National Institute of Statistics and Economic Studies), Paris — Research Internship, « Study of two comparative approaches: Bayesian clustering and non parametric Bayesian inference based on Dirichlet Process Mixture (DPM) »:- Ensured scientific intelligence.
Assistant Expert In Payment Systems
“Crédit du Nord” Bank, retail bank, Société Générale’s Group, in the Company Relationship Management Department, Paris — Assistant Expert in Payment Systems working in close collaboration with the 10 Business Centers of the region Ile de France regarding: assignments about e-commerce and remote transmission of standard transfer bank files for companies.
Raphaël Ramora education
Msc Computational Finance And Mathematics
Master In Business Management
Master’S Degree In Applied Mathematics (Gap Year)
Bachelor Of Science In Applied Mathematics
Maths- Physics- Engineering Sciences
French Baccalaureate, Science Stream, Baccalaureate With Honors
Frequently asked questions about Raphaël Ramora
Quick answers generated from the profile data available on this page.
What company does Raphaël Ramora work for?
Raphaël Ramora works for AGENT TECH LLC.
What is Raphaël Ramora's role at AGENT TECH LLC?
Raphaël Ramora is listed as Senior Data Scientist and Engineer at AGENT TECH LLC.
Where is Raphaël Ramora based?
Raphaël Ramora is based in Houston, Texas, United States while working with AGENT TECH LLC.
What companies has Raphaël Ramora worked for?
Raphaël Ramora has worked for Agent Tech Llc, Integral Data, Université De Montréal, National Bank Of Canada, and Center Of Research In Economy And Statistics (Crest).
How can I contact Raphaël Ramora?
You can use AeroLeads to view verified contact signals for Raphaël Ramora at AGENT TECH LLC, including work email, phone, and LinkedIn data when available.
What schools did Raphaël Ramora attend?
Raphaël Ramora holds Msc Computational Finance And Mathematics from Université De Montréal.
What skills is Raphaël Ramora known for?
Raphaël Ramora is listed with skills including Matlab, Microsoft Office, Programming Languages, Latex, Stochastic Calculus, Marketing, Markov Chain Monte Carlo, and Foreign Languages.
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