Dr. Emanuel Christner

ist verfügbar. ✅

Freiberuflich, Geschäftsführer aspectivo GmbH, aspectivo GmbH

Stuttgart, Deutschland

Fähigkeiten und Kenntnisse

Data Strategy
Data Analysis
Machine Learning
Data Science
Big Data
Künstliche Intelligenz
ML

Werdegang

Berufserfahrung von Emanuel Christner

  • Bis heute 4 Jahre und 11 Monate, seit 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 Monate, 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 Jahr, Jan. 2022 - Dez. 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 Jahr, Jan. 2021 - Dez. 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 Jahr, Jan. 2020 - Dez. 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 Jahr, Jan. 2019 - Dez. 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 Jahre und 8 Monate, Mai 2011 - Dez. 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)

Ausbildung von Emanuel Christner

  • 3 Jahre und 7 Monate, Juni 2011 - Dez. 2014

    Dr. rer. nat. - Physics

    Karlsruher Institut für Technologie

  • 6 Jahre, Apr. 2005 - März 2011

    Physics

    Universität Heidelberg

    Informatik, Elektronik

Sprachen

  • Deutsch

    Muttersprache

  • Englisch

    Fließend

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