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Pawel Zawadzki

MSc Student

Staff Data Scientist at Intuit

San Francisco Bay Area

Section title

Pawel Zawadzki's Email Addresses & Phone Numbers

Pawel Zawadzki's Work Experience

Max-Planck Institute for Solid State Research, Stuttgart, Germany

MSc Student

2008 to 2008

Technical University of Denmark

PhD Fellow

November 2008 to February 2012

Lyngby, Denmark

Chalmers University of Technology


2007 to 2007

Pawel Zawadzki's Education

Technical University of Denmark

Doctor of Philosophy (PhD), Physics

2008 to 2012

Université de Picardie Jules Verne (Amiens)

Master of Science (MSc), Materials Science

2006 to 2008

Université de Provence (Aix-Marseille I)

Master of Science (MSc), Materials Science

2006 to 2008

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About Pawel Zawadzki's Current Company

Max-Planck Institute for Solid State Research, Stuttgart, Germany

♦ Studied interfacial Li storage in Metal/Li2O systems using computer simulations

Frequently Asked Questions about Pawel Zawadzki

What company does Pawel Zawadzki work for?

Pawel Zawadzki works for Max-Planck Institute for Solid State Research, Stuttgart, Germany

What is Pawel Zawadzki's role at Max-Planck Institute for Solid State Research, Stuttgart, Germany?

Pawel Zawadzki is MSc Student

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Pawel Zawadzki works in the Computer Software industry.

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Pawel Zawadzki's colleagues are Anand Soni, Ramesh Raman, Anshuman Kumar, Veeresh Kethari, Saurabh Saxena, Phouphet S., Eric Shiu, Zelik Levit, Crystal Helman, and Anthony Crouch

About Pawel Zawadzki

📖 Summary

MSc Student @ Max-Planck Institute for Solid State Research, Stuttgart, Germany ♦ Studied interfacial Li storage in Metal/Li2O systems using computer simulations From 2008 to 2008 (less than a year) PhD Fellow @ Technical University of Denmark ♦ Identified a systematic error of widely used density functional theory in describing polaronic charge transfer barrier height (research recognized by the editors of Physical Review B: Rapid Communications).♦ Solved the origin of optical absorption of photo-excited TiO2 using an inter-polaronic model implemented in Python. From November 2008 to February 2012 (3 years 4 months) Lyngby, DenmarkInternship @ Chalmers University of Technology ♦ Measured and simulated Raman spectra of Li-calixarene system From 2007 to 2007 (less than a year) Staff Data Scientist / Tech Lead @ Intuit Technical lead for Trust & Safety/Virtual Expert Platform security, fraud, and riskdata science. Defines and executes projects. Manages stakeholders and works across teams and BUs. Allocates work and mentors junior and senior data scientists.♦ Intent classification: Developed and deployed NLP/DNN based Expert Call Risk (ECR) model to predict PII solicitation from the call/chat data using Universal Sentence embeddings. A/B tested performance and showed 16x improvement in alert precision leading to a 70% case volume reduction, 4.5x higher detection rate and annual cost savings of $100-400k.♦ Case prioritization: Developed and deployed on Sagemaker case prioritization model based on data loss prevention (DLP), geolocation, and clickstream data using AWS Sagemaker. The model is projected to eliminate 40 % of risk escalations with annual savings of $500k.♦ Near real-time featurization: Implemented data source abstractions and feature definitions in scala/spark streaming for near-real-time featurization.♦ Anomaly Detection: Develop time tracking automation and anomaly detection MVP model and demonstrated potential benefit of over $4M. San Francisco Bay AreaExpert Data Scientist @ Pacific Gas and Electric Company Led efforts data science efforts to build a predictive asset maintenance solution for PG&E electrical distribution assets.♦ Failure model​: Built an electric pole failure risk model in Spark. The model captured 75% of the failure risk in 20% of poles potentially saving >>$1M in maintenance costs.♦ Mentored data scientists and organized data science knowledge-sharing group. From May 2017 to August 2017 (4 months) San Francisco Bay AreaSenior Data Scientist @ Pacific Gas and Electric Company Led efforts to leverage Smart Meter and other data sources to improve the effectiveness of customer-facing programs at PG&E.♦ Recommender System​: Developed an association rule-based energy-efficiencyrecommendation engine and implemented it in Python. Since its launch, EE Recommender has been used in +5 marketing campaigns to target +100k customers.♦ Developed ​measurement and verification​ (M&V) algorithm for pay-for-performance meter-based savings program using model stacking, the approach was piloted with 12 large commercial customers.♦ Designed linear programming-based distributed energy resource (DER) optimization module for targeted asset upgrade deferral, now being implemented and piloted at several distribution assets.♦ Built cooling-load disaggregation model for PG&E's HVAC quality-maintenance marketing campaigns. From June 2015 to May 2017 (2 years) San Francisco Bay Area

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Pawel Zawadzki's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

1 year(s), 6 month(s)

Pawel Zawadzki's Willingness to Change Jobs



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