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Dimosthenis Christopoulos is listed as Senior AI Engineer at Google at Google, a with 1 employees, based in Sunnyvale, California, United States. AeroLeads shows a work email signal at ing.com and a matched LinkedIn profile for Dimosthenis Christopoulos.
Dimosthenis Christopoulos previously worked as Senior AI Engineer at Google and Senior AI Engineer at Google. Dimosthenis Christopoulos holds Master, Statistics, Data Analysis And Knowledge Discovery from Linkoping University.
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Analytically driven data scientist and machine learning software engineer with 12 years of professional experience on ML and Big Data. Actively involved in the entire modelling lifecycle: project definition/scoping, data collection & annotation, data preprocessing, model development, deployment, and continuous improvement. Proven ability to collaborate successfully with teams that are diverse in terms of background, seniority, and location.
Listed skills include Python, Data Mining, Machine Learning, Statistics, and 37 others.
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A career timeline built from the work history available for this profile.
Mountain View, Ca, Us
Design and implement machine learning solutions for complex technical customer use cases.Work with customers in end-to-end machine learning projects; from project definition to deployment.Technologies: Python, TensorFlow, TensorFlow Probability, TFX, Vertex AI, Dataflow, BigQuery, AutoML.ML: Probabilistic models, Panoptic Deeplab, DELF, LSTM, Transformers, Deep & Wide, K-NN, DBSCAN, Random Forest, XGBoost.
Amsterdam, North Holland, Nl
Managing technically customer intelligence and risk modelling projects in European countries using machine learning and big data technologies. Providing consult on customer savings outflow/churn, risk modelling and transaction forecasting, and sharing best practices. Presenting project results to stakeholders and designing dashboards to explain complex models. Providing training on machine learning to ten European teams and assisting with the curriculum of Data Science Academy. Utilizing methodologies as Ensemble learning, Clustering (K-means, hierarchical clustering, dbscan), dimensionality reduction (PCA, TSNE), or Deep Learning.Technologies used: Python, pandas, scikit-learn, Spark, Hive, Keras, Hadoop, Scala,
Madrid, Es
Conducted applied research and prototyping projects, focusing on Reporting, Data Mining and Machine Learning. Identified, tested and integrated new internal data sources. Performed ad-hoc analyses. Built web applications for users to access reporting results.Technologies used: Python, Hadoop, Mahout, Weka, pandas, scikit-learn, Django, EmberJs, JavaScript
Grenoble, Fr
Developed and integrated software for image data reduction and fitting of non-linear additive models using MATLAB and Python. Translated software package for low angle X-Ray scattering image analysis from Delphi to C++. Set up and tested data acquisition and experiment control packages.Technologies used: Python, C++, MATLAB, SPEC, Java, Spring.
Chicago, Il, Us
Played a key role in defining and implementing statistical methodologies for use in marketing mix modelling and prediction projects within the R&D operation. Utilised Ox language to develop software to execute projects and manage daily debugging and error resolution. Served as subject matter expert for Basket Analysis team, guiding solution / software development and methodology decision and executing tests, on association rule mining and store clustering projects, with data input ranging from 200 gigabytes to 2 terabytes. Interviewed and trained new staff, providing software orientation and outlining best practices.Technologies used: C++, Ox, MySQL, SAS, Weka, Qt, OpenMP.
Chicago, Il, Us
Created modelling platform from scratch as original member of R&D team. Defined and deployed statistical methodologies for marketing mix and prediction projects. Resolved errors and conducted debugging. Managed large datasets. Created software to continuously improve project process speed, efficiency and accuracy. Trained new users.Technologies used: Ox, SAS, Weka.
Developed software for the control of X-Ray Spectroscopy experimental equipment, encoder read-outs, and on-line data fitting, using SPEC and Python.Helped in the redesign and simplification of older experiments.Created Graphical User Interfaces for experiment design and control, using Python and PyQt.Technologies used: Python, PyQt, SPEC, MATLAB.
Provided telephone support for the installation and fault detection of ISDN telephone equipment.
Other employees you can reach at google.com. View company contacts for 1 employees →
E Even
Colleague at GoogleHarrogate, England, United Kingdom
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BL
Bohan Li
Colleague at GoogleSanta Barbara, California, United States
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QY
Qian Yu
Colleague at GoogleMountain View, California, United States
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MW
Matthew Wettlaufer
Colleague at GoogleEscondido, California, United States
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SB
Shahd Bahaa
Colleague at GoogleGiza, Al Jizah, Egypt
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MJ
Messiah Justice Ra'Iz Podor De Cristo
Colleague at GoogleSalt Lake City, Utah, United States
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CF
Craig Fletcher
Colleague at GoogleDenver, Colorado, United States
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HM
Helen Mackie
Colleague at GoogleGreater Dublin, Ireland
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AN
Anshu Nishad
Colleague at GoogleNew Delhi, Delhi, India
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David R. Beauchamp
Colleague at GoogleDetroit Metropolitan Area, United States
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Quick answers generated from the profile data available on this page.
Dimosthenis Christopoulos works for Google.
Dimosthenis Christopoulos is listed as Senior AI Engineer at Google at Google.
AeroLeads has found 1 work email signal at @ing.com for Dimosthenis Christopoulos at Google.
Dimosthenis Christopoulos is based in Sunnyvale, California, United States while working with Google.
Dimosthenis Christopoulos has worked for Google, Ing, Amadeus, Dutch-Belgian Beamline At Esrf, and Symphonyiri Group.
Dimosthenis Christopoulos's colleagues at Google include E Even, Bohan Li, Qian Yu, Matthew Wettlaufer, and Shahd Bahaa.
You can use AeroLeads to view verified contact signals for Dimosthenis Christopoulos at Google, including work email, phone, and LinkedIn data when available.
Dimosthenis Christopoulos holds Master, Statistics, Data Analysis And Knowledge Discovery from Linkoping University.
Dimosthenis Christopoulos is listed with skills including Python, Data Mining, Machine Learning, Statistics, Data Analysis, C++, Sas, and Matlab.
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