Data Analyst specialized in translating complex data into actionable business insights to facilitate informed decision-making. Committed to process automation and continuous improvement, with extensive experience aiding small to medium-sized organizations in developing effective business and product strategies. Proficient in managing projects from inception to completion, with a strong background in data collection and analysis.

Expertise encompasses Data Analysis, ensuring Data Quality, and utilizing tools such as PowerBI, DAX, Tableau, Google Data Studio, Google Analytics, and Google Tag Manager. Adept at managing advertising platforms like Google Ads and Facebook Ads, with a solid foundation in project planning, execution, and market research.

A Project Manager with 12 years of experience adhering to PMI standards and 9 years as a micro-entrepreneur in consulting, serving a diverse range of clients including multinational corporations and governmental bodies. Possesses 7 years of experience in developing digital products, such as CRM and SaaS platforms, which have received public recognition. Has led squads at various managerial levels, handling strategic, tactical, and operational cases.

Expertise includes mentoring, facilitation, and disseminating knowledge in micro-entrepreneurship and digital product development through both in-person and digital channels. Employs a servant-leadership approach, with a focus on conflict mediation and collaboration within multidisciplinary teams. Dedicated to the development of team performance, emphasizing inclusion and a sense of belonging. Known for a generalist profile with strong analytical skills and a systemic vision aimed at enhancing processes, people, and products within complex environments.

Statistician and data scientist with three years of experience, specializing in machine learning. Extensive practical expertise in applying statistical methods and data science techniques to real-world problems. Proficient in predictive modeling, data analysis, and algorithm development. Demonstrated ability to analyze complex datasets, build robust models, and interpret results to drive informed decision-making.

Full-Stack Developer with advanced academic credentials in Information Technology, including a degree, postgraduate qualification, and a master's degree. Demonstrates a proactive, curious, and studious approach to professional development, with a strong passion for continuous learning and embracing new challenges. Offers thirteen years of extensive experience across numerous internet projects, encompassing a broad range of expertise. Areas of specialization include web development, usability, accessibility, information architecture, user experience (UX), and WordPress implementation. Proficiencies extend from project conceptualization through strategic launch planning, performance analysis, and user testing.

A Product Owner with over seven years of experience in the financial sector, holding a postgraduate degree in Business Modeling, Innovation, and Design. Expertise spans product development, digital channel management, product discovery, exploratory research, and trends foresight. With a strong foundation in Innovation, consistently seeks innovative solutions to address diverse and complex challenges, advocating for cross-functional collaboration to achieve corporate success.

This profile highlights a blend of creativity and curiosity, with a daily focus on generosity and emotional intelligence to facilitate teamwork and achieve exceptional outcomes. Experience in Marketing and Business Analysis has fostered an analytical and strategic perspective on digital products and projects, fueling a dedicated pursuit of a Product Manager career. The aim is to attain substantial results through carefully planned strategies grounded in data analysis and occasionally informed by intuitive insights. The aspiration is to advance in a Product Manager role within organizations that embrace a defined culture, nurture curiosity, and swiftly generate positive impacts for individuals.

Product Manager with a technical foundation in computer engineering and an MBA in Business Management. With approximately four years of software development experience, expertise includes project management, client relations, and technical support. The diverse work experience in academia, finance, entertainment, and manufacturing sectors within both startups and large corporations has fostered adaptability to various professional environments and cultures.

A user-centric approach underscores the focus on product management, emphasizing the design of superior user experiences and effective problem-solving collaboration. Technical proficiency aids in devising practical solutions and anticipating potential issues during team projects.

Skills include drafting documentation and requirements, creating User Stories, engaging in Product Discovery, applying Agile methodologies such as Scrum and Kanban, making data-driven decisions, conducting A/B testing, and defining and tracking OKRs and KPIs. Additional competencies encompass low- to high-fidelity prototyping, MVPs, POCs, collaboration with UX designers, roadmap creation, and release management. Commonly used tools include Jira, Confluence, Atlas, Notion, Miro, Figma, Google Data Studio (Looker), Google Analytics, GitLab, and Planview.

In prior software engineering roles, responsibilities included embedded systems (C, C++, Bluetooth, Wifi, VHDL, MQTT), back-end development (Python, Java, Django, Clojure, GraphQL), front-end development (JavaScript, Polymer, Vaadin, Tailwind, Material UI), CI/CD pipelines (Docker, Kubernetes, Jenkins, GitLab CI, OpenShift), and data technologies (PostgreSQL, MySQL, MongoDB, BigQuery, BigTable, DataStudio, Apache NiFi, Elastic Stack, InfluxDB, Firebase, Grafana, IBM DB2). Additionally, experienced with cloud platforms (AWS, Google Cloud), video processing and DRM tools (FFmpeg, Widevine, Fairplay), various version control tools (GitLab, GitHub, Bitbucket), and audio-subtitle synchronization for movie streaming services.

Digital Product Manager specializing in agile methodologies, growth strategy, and data-driven prioritization. Proficient in leading multidisciplinary teams, serving as a central communication facilitator, and advocating for product vision. Experienced in collaborating with diverse internal and external stakeholders.

SAP Predictive Analytics is a software tool that enables businesses to create, manage, and deploy predictive models. It helps organizations analyze historical data to predict future outcomes and trends, automate data preparation, and improve decision-making processes by providing insights into potential future events.

A SAP Predictive Analytics expert must have skills in data modeling, statistical analysis, and machine learning. Proficiency in using SAP's software suite, particularly SAP HANA and SAP BusinessObjects, is essential. Knowledge of programming languages such as R or Python for custom model development is beneficial. Understanding of data integration and manipulation within the SAP ecosystem is also crucial.

How to hire a SAP Predictive Analytics expert

SAP Predictive Analytics was developed by SAP to enhance data-driven decision-making capabilities for businesses. It emerged as a response to the growing need for advanced analytics tools that could handle large datasets and provide predictive insights. The software leveraged SAP's expertise in enterprise solutions to offer comprehensive predictive modeling and data analysis functionalities.

About SAP Predictive Analytics

Strengths of SAP Predictive Analytics included its integration with SAP's ecosystem, robust data handling capabilities, and automation in model building. Weaknesses involved a steep learning curve and limited flexibility compared to some competitors. Competitors included 

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