Leon Heinrich

Ready-to-drink cold brew with minimal ingredients and intensive flavour 🖤 Went through product lifecycle from ideation to GTM and generated four-digit revenue, but didn’t find PMF.

• Led pan-European expansion efforts by acquiring and enabling new channels, i.e., marketplaces, for our clients • Built customer success engine from scratch including growth levers to evaluate customer health and drive growth

• Drove value proposition across the leadership company-wide to position the product in the market more effectively and charles as the leading WhatsApp BSP in Europe • Spearheaded recurring reportings as well as ad-hoc analyses along the entire GTM pipeline to top-level management and for board meetings based on data from HubSpot and BigQuery data warehouse • Owned CRM efforts to push OKRs focussing on re-activation strategies for Leads and churned clients

• Represented customer success perspective in conceptualization of company-wide data warehouse to provide centralized source of truth for various KPIs in real time • Maintained and expanded 100+ sheet data model in Excel including metrics about performance of hundreds of clients and around 10 customer success managers; strategized to further improve results • Conducted regular reporting derived from data model to visualise trend of KPIs in relation to OKRs • Supported CSM tool migration through cross-functional collaboration and redefinition as well as optimization of properties & processes

• Instructed and supervised 2 interns in using a co-designed GUI for labelling rental contracts • Co-developed machine learning model with Python and used labelled data to train this classifier for automated quality assurance of previously performed rule-based recognition using NLP; ultimately achieved accuracy of >95% • Presented solution to 30+ interns and consultants

• Co-developed and applied a Natural Language Processing (NLP) framework for rule-based recognition of rental contracts for a German housing association • Supported customer acquisition at the interface of AI and medicine by performing in-depth research activities, contributed expertise about AI and data processing, drafted application paper in collaboration with colleagues from different disciplines • Implemented Python scripts for automation of file management

• Debugged und refactored Python scripts, deployed changes with Docker containers to cloud platform AWS and implemented associated test functions • Improved and tested PDF and email template generation for a customer messaging service by using API requests

• Created and adapted tools in C++ and C# to conduct performance analyses in scope of a measurement, calibration and diagnostics software; applied in automotive industry • Optimised signal data processing; increased runtime performance by up to 25% • Collaborated agilely in international Scrum teams with daily meetings about achievements and upcoming tasks

• Responsible for in-store goods management as a team of 2-6 • Processed several customer orders by phone per day

• Area: maintenance and tool making • Duration: two weeks

Received 40% merit-based scholarship for exceptional academic potential

• Realised several programming projects as a team • Thesis: Role of smart contracts on the path towards a sustainable future

ERASMUS+ exchange in Trondheim, Norway Chosen modules: • Applied Data Science (Grade: A) • Innovation by Design Thinking (Grade: Passed) • Norwegian language course (Grade: B)