Krisztina Sinkovics
AI Research Engineer at Small Robot Company- Claim this Profile
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Русский Native or bilingual proficiency
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Украинский Native or bilingual proficiency
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Венгерский Limited working proficiency
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Английский Professional working proficiency
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Немецкий Elementary proficiency
Topline Score
Bio
Anirudh Bhattacharya
Krisztina has been my mentor in the Data Science team, both coaching me on my project work and on efforts towards my thesis. Having extensive expertise in deep learning, she has always guided me in problem solving, be it recommending me the appropriate research papers for my master thesis project, doing code reviews or sharing learning sources to get me up to speed with the relevant area. Her efforts in onboarding me made remote onboarding during COVID lockdown much easier than expected. She has helped me understand the pipeline inspection domain and the physics behind it through virtual meetings. She would patiently review all my project reports and her comments and recommendations helped me in showcasing the right contents in the right way. Her persistent motivation and encouragement has helped me explore the deep learning arena and learn new technologies. She is a great asset for any team to have.
Nachiket Karajagi
Krisztina was part of my team as a data scientist while at Baker Hughes. Krisztina is a great asset to any team she is part of. Her ability to understand the business problem and use data to provide insights is key for a good data scientist. She worked closely with the Engineering and sourcing business teams and applied ML algorithms to solve some complex business problems.
Anirudh Bhattacharya
Krisztina has been my mentor in the Data Science team, both coaching me on my project work and on efforts towards my thesis. Having extensive expertise in deep learning, she has always guided me in problem solving, be it recommending me the appropriate research papers for my master thesis project, doing code reviews or sharing learning sources to get me up to speed with the relevant area. Her efforts in onboarding me made remote onboarding during COVID lockdown much easier than expected. She has helped me understand the pipeline inspection domain and the physics behind it through virtual meetings. She would patiently review all my project reports and her comments and recommendations helped me in showcasing the right contents in the right way. Her persistent motivation and encouragement has helped me explore the deep learning arena and learn new technologies. She is a great asset for any team to have.
Nachiket Karajagi
Krisztina was part of my team as a data scientist while at Baker Hughes. Krisztina is a great asset to any team she is part of. Her ability to understand the business problem and use data to provide insights is key for a good data scientist. She worked closely with the Engineering and sourcing business teams and applied ML algorithms to solve some complex business problems.
Anirudh Bhattacharya
Krisztina has been my mentor in the Data Science team, both coaching me on my project work and on efforts towards my thesis. Having extensive expertise in deep learning, she has always guided me in problem solving, be it recommending me the appropriate research papers for my master thesis project, doing code reviews or sharing learning sources to get me up to speed with the relevant area. Her efforts in onboarding me made remote onboarding during COVID lockdown much easier than expected. She has helped me understand the pipeline inspection domain and the physics behind it through virtual meetings. She would patiently review all my project reports and her comments and recommendations helped me in showcasing the right contents in the right way. Her persistent motivation and encouragement has helped me explore the deep learning arena and learn new technologies. She is a great asset for any team to have.
Nachiket Karajagi
Krisztina was part of my team as a data scientist while at Baker Hughes. Krisztina is a great asset to any team she is part of. Her ability to understand the business problem and use data to provide insights is key for a good data scientist. She worked closely with the Engineering and sourcing business teams and applied ML algorithms to solve some complex business problems.
Anirudh Bhattacharya
Krisztina has been my mentor in the Data Science team, both coaching me on my project work and on efforts towards my thesis. Having extensive expertise in deep learning, she has always guided me in problem solving, be it recommending me the appropriate research papers for my master thesis project, doing code reviews or sharing learning sources to get me up to speed with the relevant area. Her efforts in onboarding me made remote onboarding during COVID lockdown much easier than expected. She has helped me understand the pipeline inspection domain and the physics behind it through virtual meetings. She would patiently review all my project reports and her comments and recommendations helped me in showcasing the right contents in the right way. Her persistent motivation and encouragement has helped me explore the deep learning arena and learn new technologies. She is a great asset for any team to have.
Nachiket Karajagi
Krisztina was part of my team as a data scientist while at Baker Hughes. Krisztina is a great asset to any team she is part of. Her ability to understand the business problem and use data to provide insights is key for a good data scientist. She worked closely with the Engineering and sourcing business teams and applied ML algorithms to solve some complex business problems.
Credentials
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Sequence Models
CourseraNov, 2018- Sep, 2024 -
Convolutional Neural Networks
CourseraOct, 2018- Sep, 2024 -
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraAug, 2018- Sep, 2024 -
Neural Networks and Deep Learning
CourseraAug, 2018- Sep, 2024 -
Structuring Machine Learning Projects
CourseraMar, 2018- Sep, 2024
Experience
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AI Research Engineer
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Feb 2021 - Present
Powering agricultural robots with AI for sustainable and economically efficient farming. Powering agricultural robots with AI for sustainable and economically efficient farming.
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Baker Hughes
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Norway
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Oil and Gas
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1 - 100 Employee
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Senior Data Scientist - Deep Learning
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May 2018 - Dec 2020
Main Project - Epsilon: detecting cracking in oil and gas pipelines based on ultrasound sensor data• Boosted automation of manual inspection analysis 17% by deploying zero-fault tolerant Deep Learning ensembles for defect classification• Designed Convolutional Neural Network architectures for highly unbalanced dataset of sparse ultrasonic images, developed a series of custom image augmentation techniques that pushed model accuracy up to 98%• Managed staging and production environment for model deployment and testing on Docker Swarm Cluster• Together with 2 other team members took over and maintained a Deep Learning framework (for model development and productionalization) that previously has been supported by a team of 20• Coached and mentored junior Data Science talentTechnologies used: Python, Tensorflow/Keras, AWS (EC2, S3), Linux, Docker, Jenkins, Git
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Data Scientist - Machine Learning
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Jun 2016 - May 2018
I owned end-to-end development of machine learning applications for supply chain and logistics use cases.Main project - Mechanical Parts Harmonization: major cost saving initiative in collaboration with mechanical engineering and sourcing divisions to identify replaceable mechanical parts and empower sourcing specialists with cost predictions and saving opportunities based on procuring cheaper replaceable parts. which enabled ~$7M USD in deflation benefits on a bid led by Sourcing.• Trained and deployed predictive models using GBM and other tree-based models for pricing mechanical parts employing h2o and sckit-learn.• Delivered clustering models for identifying replaceable mechanical parts based on free text description and categorical/numerical attributes using Locality Sensitive Hashing and graph-based algorithms, first in Scala/Spark then in R.• Designed prototypes and created UI dashboards with integrated above-mentioned ML models in R Shiny. • Save the company $500K in annual fees by migrating an existing Spark ML solution from proprietary platform to an in-house Hadoop cluster, which involved changing solution architecture, rewriting the algorithm to accommodate new infrastructure, similarity measures based on different datatypes, as well as enhancing the model performance.• Onboarded and coached three junior data scientists who joined the project at a later stage.Technologies used: R, Python, Scikitlearn, H2O, Dataiku, AWS, SQL, Scala, Spark ML, Hadoop, R Shiny
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Infomatix Ltd.
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India
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IT Services and IT Consulting
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1 - 100 Employee
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Junior Analyst
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Dec 2013 - Aug 2014
• Uncovered valuable insights for the company’s clients in FMCG product pricing and warehouse cost optimization by conducting in-depth data analysis using statistical methods and business logic. • Created operational reports that applied best practices of data visualization using Spotfire and Tableau. • Created lasting relationship with the clients’ respective departments over the course of regular project interactions and providing high quality training for delivered solutions. Technologies used: R, Python, Spotfire, Tableau
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Education
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2015 - 2016
Central European University
Probationary Doctoral Candidate -
2014 - 2015
Central European University
Master of Arts (M.A.), International Political Economy -
2012 - 2014
Corvinus University of Budapest
Master's degree, International Economic Analysis -
2008 - 2012
Uzhhorod National University | Ужгородський національний університет
Bachelor's degree, International Economic Relations
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