Attila Petróczi Email & Phone Number

Budapest, Hu, Hu

CRUNCH is a use case heavy conference for people interested in building the finest data driven businesses. No matter the size of your venture or your job description you will find exactly what you need on the two-track CRUNCH conference. A data engineering and a data analytics track will serve diverse business needs and levels of expertise.Details are available on the webpage: http://crunchconf.com/

Budapest, Hu, Hu

Budapest, Hu

Shapr3D is on the mission of reinventing the CAD (computer-aided design) industry that got stuck in the past. We are building the world’s most intuitive 3D modeling app, engineered for iPad (with Apple Pencil), Mac, and Windows devices.Insights: #cad, #3dmodelling, #dataanalytics, #prediction #customeranalytics #behaviouranalyses #kpiKey Responsibilities1. Building a high performing Data Team from Data Engineers, Analytics Engineers, Data Analysts and Data Scientists• Be the professional leader and people manager of a 5 member Data Team• Facilitate daily operation of the team (e.g. agile ceremonies and brainstormings)2. Leading the maintenance and extension of the data infrastructure capabilities3. Level up the existing data-informed company culture by evangelisation, training and self-servedata tools4. Own Product Led Growth Measures and frameworks5. End-to-end ownership of strategic business and data project6. Contribution to ETL pipelines and answering business related questions based on analytics

Ny, Ny - New York, Us

WQP is a technology PaaS/SaaS startup using Machine Learning and Artificial Intelligence to make timely and accurate predictions to support business decisions.Insights: #cpg, #banking, #healthcare, #datascience #machinelearning #aiKey Responsibilities1. Establishment of smooth operations in Hungary (legal, finance, office, people operations, vendor management, etc.) and coordination with other physical and virtual offices • established a culture based on trust, transparency, honesty and loyalty • created environment of multicultural teams, where employees from different geo-locations (and time zones) can work together effectively • introduced the custom-tailored agile principles to reduce feature turnaround time by 25% • owned the highest growth office (doubled the headcount every year / built an office from scratch) • took over a 7-member Moldova Team management2. Laying down the foundation of People Operations to build loyal, high performing teams • recruited and built a loyal, high performing 16-member team from Data Scientists, Data Engineers, Data Analysts, business and product people • growing team members in hard and soft skills • mentored and coached leaders in people management (even C-level executives) • created and maintained a low fluctuation (annual <5%), high performing team with the right skillset3. As Senior Leadership Member contribution in ideation and execution of business strategy to reach business goals • during the years I drove a bunch of initiatives to sharpen and scale processes based on standardisation (Global Research Network, Data Acquisition, etc.) • challenged and supported business, product and tech people to prioritise work to make the highest possible impact • contributed to ideation of new products, which led to the final product line • contributed to change vision and strategy from being a consultancy company to becoming a product company • owner of 1+ Million USD budget

Paris, Île-De-France, Fr

French-Hungarian travel metasearch SaaS business to help people to find the cheapest options to explore the world.Insights: #metasearch, #travel #marketing #bi #dataKey Responsibilities1. Building a data driven product development culture • established a framework to prioritise new feature development based on expected impact on company KPIs • introduced standardised product logging to enable customer journey analytics (improve User Experience) • established the A/B testing framework to evaluate product/feature testing • deliver insights from customer analytics to initiate/validate feature ideas • owned a stable, robust data infrastructure, which provides data for business processes2. Own company KPIs to generate accurate and timely data for business strategy decisions • improved up-to-date dashboard to evaluate marketing channels (SEO, SEM, Whitelabel, Content, Influencers, etc.) • Fed Finance with data to evaluate product monetisation • improved alerting system to detect fraudulent activity early (cost reduction >10%) • coordinated resource allocation based on company metrics3. Managing Data Team • led a 3-member team (Junior, Data Scientist, Junior, Data Engineer, Financial Analyst) to deliver business impact

Budapest, Hu

1. Own Course - Lectures and Seminars: • Data Science2. Lectures and Seminars: • Business Intelligence3. Seminars: • Statistics • Applied Informatics

London, England, Gb

Realeyes leverage Computer Vision and Machine Learning techniques to evaluate audio-visual marketing materials based on their own emotional intelligence framework.Insights: #marketing, #emotionalintelligence #ai #computervision #machinelearning #adtestingKey Responsibilities1. Bring academic research to practical, business products • drove Researchers to focus on applied science instead of theoretical solutions • organised research activities into projects, to enable the team to iterate ideas quickly (decision on an idea reduced from 3 months to 4 weeks) • translate between science and business in customer interactions • managed expectations between business and research • joined pre-sales discussions to answer scientific questions and support the efforts to make valuable deals2. drive R&D team to use state-of-the-art technology stack from academic research tools • instead of MATLAB and Lasagna framework moved to Python, AWS Cloud (EC2), OpenCV and TensorFlow • introduced big data methodologies (Hadoop, Spark)3. Lead company efforts in 2 EU funded research projects (H2020) • standardised documentation and operation about company efforts related to the EU funded projects • managed expectations and framed Realeyes activities in the project (better resource allocation) • Project managers and EU Counsels were satisfied with Realeyes contribution and achievements

Oakland, California, Us

Prezi is one of the most famous Hungarian Startups, which created a zooming presentation tool. One of the biggest technology innovators in Budapest, which adopted as first of agile and big data methodologies in Hungary.Insights: #saas, #presentation, #visualdesign #bigdata #bi #advancedanalytics #customeranalytics #kpiKey Responsibilities1. Drive and coordinate analytics efforts in the entire organisation • built and managed a 10-member analytics team located both in Budapest and San Francisco • introduced semi-embedded analytics team (I managed the transition from pool model (consultancy) via embedded analyst model (one analyst works with one team) to the final semi-embedded model (partly pool, partly embedded) • achieved, that no feature can be released without standard logging2. Act as chief analyst • led the C-level on-demand analytics projects • fed BoD with relevant data and insights3. owned the company BI dashboard to measure and evaluate company KPIs

Oakland, California, Us

Key Responsibilities1. Definition of company KPIs • convinced people to use data in decision making • standardised metrics to enable product prioritisation2. Ownership of Core DataSets and Company Dashboards • built and maintained a company dashboard with 98% SLA --- built own alerting tool (Python) for ETL processes --- used Amazon Redshift as DWH (Cloud Solution) --- improved own dashboard (OLAP in JavaScript) --- had 50+ weekly active dashboard users (>30% of the employees)3. Building a team • recruited and formed a team from Data Analysts and Data Engineers (5-member team)

Oakland, California, Us

Key Responsibilities1. Fed Product and Engineering with data • defined first company metrics • developed metrics used to determine inefficiencies and areas for improvement in business.2. evangelise data driven product development principles • introduced A/B testing in production • built first ETL pipelines and dashboards to propagate data usage • introduced cohort and funnel analyses in customer analytics3. Customer analytics • identified user segments • built the first churn model to help financial prediction • organised company logging to a scalable data model

Budapest, Hu

Thesys was a small data mining consultancy company focusing on healthcare, telco and banking projects in Hungary.Insights: #telco #banking #datamining #predictionKey Responsibilities1. Building a Real Estate Price Prediction Model based on structured and unstructured data • built a model during the 2008 financial crises with ~0.3 RMSE • took part in pre-sales to present our estimation methodology2. Exploration of text mining usage opportunities • gave a presentation to the Leadership and based on the presentation the company invested ~$25K to explore business opportunities3. Building a rotational churn model in telecommunication • built a model with 75% accuracy to identify rotational churn events for the biggest telco company in Hungary4. Simplification of customer package portfolio in telecommunication • reduced number of customer packages by 90%

Information Technology

Ba, Economics

Msc, Electrical Engineering

High School, Six-Grade Grammar School