Dr. Emanuel Christner

ist verfügbar. ✅

Freiberuflich, Geschäftsführer aspectivo GmbH, aspectivo GmbH

Stuttgart, Germany

Skills

Data Strategy
Data Analysis
Machine Learning
Data Science
Big Data
Künstliche Intelligenz
ML
Microsoft Azure
Amazon Web Services (AWS)

Timeline

Professional experience for Emanuel Christner

  • Current 5 years and 2 months, since Aug 2019

    Geschäftsführer aspectivo GmbH

    aspectivo GmbH

    Data Science & AI Experts Visit us: https://aspectivo.ai Our Portfolio: Picture recognition; big data insights; chatbot; CRM insights; customer journey reconstruction; customer life time value; customer retention; dashboard; data strategy; fleet analytics; forecasting; customer segmentation/persona refinement; lead scoring; measurement accuracy; modelling; monitoring; natural language processing; online/offline customer targeting; predictive maintenance; recommender systems; competitor monitoring.

  • 9 months, Jan 2023 - Sep 2023

    Success Stories 2023

    Domains: Biotech / Care Sector

    Project: Algorithm for automated interpretation of blood sample chromatograms (Biotech) • Conceptual design and implementation of algorithm • Testing and evaluation of algorithm • Risk analysis and end user documentation Project: Optimization of Smart Care algorithm (Care Sector) • Conceptual design of a ML-based challenger algorithm • Lean MVP implementation and benchmarking against champion algorithm • Evaluation of operations options with product developers and upper management

  • 1 year, Jan 2022 - Dec 2022

    Success Stories 2022

    Domains: Sales / Medical / HR

    Boosting Amazon (Sales) Project: Identifying int. and ext. factors determining Amazon sales performance • Integration of int. and ext. data • Screening data for signals with optimization pot. by means of ML 3D scanner (Medical) Project: AI-driven optimizations for a body scanner • Concept • Lean PoC impl. and benchm. of performance Information mining (HR) Project: Information mining in HR systems with NLP • Concept • Scraping of competitor data • Lean impl. and actionable insights for upper manag.

  • 1 year, Jan 2021 - Dec 2021

    Success Stories 2021

    Domains: Marketing / Product Management

    Increasing online conversion (Marketing) Project: ML-based online personalization • Conceptual design ensuring economic performance and scalability • Development and launch of ML-solution in Microsoft Azure-cloud • Rollout into several countries in Asia and Europe Customer feedback from social media (Product management) Project: Comprehensive evaluation of social media channels and news • Extracting KPIs for brand perception and product feedback from social media channels and news • Reporting • Operations

  • 1 year, Jan 2020 - Dec 2020

    Success Stories 2020

    Domains: Automotive / Data & Tech / Energy / Mobility

    Recommender systems for marketing & sales (Automotive) Proj.: AI incubator • Ideation, dev., and rollout of 4 data science prod.: (1) lead generation, (2) customer retention, (3) online conversion, (4) customer targeting Dev. of AI Ops enabler services (Data & Tech.) Proj.: AI Shared Serv. • Dev. und scale out of AI serv. Competitor & market monitoring (Energy) Proj.: Monit. & forecasting • Online monit. of comp. Charging infrastructure analysis (Mobility) Proj.: Monit. & assessment of charging infra.

  • 1 year, Jan 2019 - Dec 2019

    Success Stories 2019

    Domains: Sales / Automotive / Marketing

    Customer journey reconstruction (Sales) Project: GDPR-compliant customer tracking technology • Probabilistic customer tracking EV fleet analytics & strategy (Automotive) Project: Analysis of electric vehicle fleet data and deduction of strategic NBA • Evaluation of scenarios for upper management Chatbot optimization (Marketing) Project: Chatbot optimization • NLP-based optimization of chatbot Persona refinement (Marketing) Project: Customer segmentation & persona refinement • Deduction of NBA

  • 7 years and 8 months, May 2011 - Dec 2018

    Success Stories 2011 - 2018

    Domains: Mobility / Marketing / Aviation / R&D

    • Data Science Consulting Hub (Mobility, 2018) • Recommender systems for customer targeting (Marketing, 2018) • Modelling of environm. scenarios (Climate & Environ., 2017) • Data analysis with HPC (High Performance Computing, 2017) • Time series analysis (Climate & Environ., 2016) • Optim. of HPC-appl. (High Performance Comp., 2015) • Fleet data analysis & predic. need for instr. maintenance (Aviation sector, 2014) • Predictive maintenance (System operations, 2013) • Analyt. instruments (R&D, 2011, 2012)

Educational background for Emanuel Christner

  • 3 years and 7 months, Jun 2011 - Dec 2014

    Dr. rer. nat. - Physics

    Karlsruher Institut für Technologie

  • 6 years, Apr 2005 - Mar 2011

    Physics

    Universität Heidelberg

    Informatik, Elektronik

Languages

  • German

    First language

  • English

    Fluent

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