Nikita Galinkin
Head Of Analytics at Sumsub- Claim this Profile
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Russian Native or bilingual proficiency
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German Native or bilingual proficiency
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English Professional working proficiency
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Latvian Elementary proficiency
Topline Score
Bio
Gleb B.
I worked with Nikita in the same team and he was my direct manager. Nikita is an outstanding data leader with solid management, organizational, and technical skills. Nikita was able to manage and organize the work of our team incredibly effective. Due to these skills, the team consistently delivered high quality results in time and acted as a unified unit, which helped to go above and beyond in achieving necessary results. Moreover, Nikita created an incredibly positive and supportive atmosphere inside the team, which contributed to the overall success of our team company-wise. In addition, Nikita’s solid domain knowledge allowed him to always see a wide picture and help our team to move in the right direction. I feel whenever Nikita is, he is going to stay with the company for long and always work hard to take the company to new heights.
Christian Schaefer
Nikita’s exceptional talent and humble character have made him a very integral party of the ML/DM team in the Deloitte Analytics Institute. He never stops learning and his attention to detail and love for great software products is addictive.
Gleb B.
I worked with Nikita in the same team and he was my direct manager. Nikita is an outstanding data leader with solid management, organizational, and technical skills. Nikita was able to manage and organize the work of our team incredibly effective. Due to these skills, the team consistently delivered high quality results in time and acted as a unified unit, which helped to go above and beyond in achieving necessary results. Moreover, Nikita created an incredibly positive and supportive atmosphere inside the team, which contributed to the overall success of our team company-wise. In addition, Nikita’s solid domain knowledge allowed him to always see a wide picture and help our team to move in the right direction. I feel whenever Nikita is, he is going to stay with the company for long and always work hard to take the company to new heights.
Christian Schaefer
Nikita’s exceptional talent and humble character have made him a very integral party of the ML/DM team in the Deloitte Analytics Institute. He never stops learning and his attention to detail and love for great software products is addictive.
Gleb B.
I worked with Nikita in the same team and he was my direct manager. Nikita is an outstanding data leader with solid management, organizational, and technical skills. Nikita was able to manage and organize the work of our team incredibly effective. Due to these skills, the team consistently delivered high quality results in time and acted as a unified unit, which helped to go above and beyond in achieving necessary results. Moreover, Nikita created an incredibly positive and supportive atmosphere inside the team, which contributed to the overall success of our team company-wise. In addition, Nikita’s solid domain knowledge allowed him to always see a wide picture and help our team to move in the right direction. I feel whenever Nikita is, he is going to stay with the company for long and always work hard to take the company to new heights.
Christian Schaefer
Nikita’s exceptional talent and humble character have made him a very integral party of the ML/DM team in the Deloitte Analytics Institute. He never stops learning and his attention to detail and love for great software products is addictive.
Gleb B.
I worked with Nikita in the same team and he was my direct manager. Nikita is an outstanding data leader with solid management, organizational, and technical skills. Nikita was able to manage and organize the work of our team incredibly effective. Due to these skills, the team consistently delivered high quality results in time and acted as a unified unit, which helped to go above and beyond in achieving necessary results. Moreover, Nikita created an incredibly positive and supportive atmosphere inside the team, which contributed to the overall success of our team company-wise. In addition, Nikita’s solid domain knowledge allowed him to always see a wide picture and help our team to move in the right direction. I feel whenever Nikita is, he is going to stay with the company for long and always work hard to take the company to new heights.
Christian Schaefer
Nikita’s exceptional talent and humble character have made him a very integral party of the ML/DM team in the Deloitte Analytics Institute. He never stops learning and his attention to detail and love for great software products is addictive.
Experience
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Sumsub
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United Kingdom
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IT Services and IT Consulting
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200 - 300 Employee
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Head Of Analytics
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Jul 2021 - Present
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Senior Data Analyst
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May 2020 - Jul 2021
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BondIT's Scorable Credit Analytics
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Germany
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Financial Services
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Data Scientist
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Sep 2019 - Mar 2020
- Performed feature selection using multiple feature importance metrics - Clustered features using HDBScan and embeddings to deal with data sparsity - Participated in and understood kanban/scrumban/scrum processes - Actively taking part in reading user feedback and coming up with ideas of how the product can be improved from a data science perspective (new approaches, data sources, etc.) - Performed feature selection using multiple feature importance metrics - Clustered features using HDBScan and embeddings to deal with data sparsity - Participated in and understood kanban/scrumban/scrum processes - Actively taking part in reading user feedback and coming up with ideas of how the product can be improved from a data science perspective (new approaches, data sources, etc.)
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Deloitte
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Business Consulting and Services
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700 & Above Employee
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Consultant
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Sep 2018 - Aug 2019
Venture Building Project (building Scorable):- Explored large news data set, documented it, developed filtering logic to get rid of data not useful for given task- Implemented a text preprocessing pipeline (collocations, stop word removal, punctuation handling, lemmatization/stemming if needed) tailored to the data set- Processed text using pretrained tools (POS-tagging and NER mainly) provided by NLTK and spaCy- Implemented and tested different Topic Modelling approaches (CorEx, LDA, NMF)- Designed and implemented from scratch classifier to filter out documents that only contain tables- Worked with AWS SageMaker, S3, git, PostgresSQLOther Projects:- Organized and documented internal knowledge in NLP- Initiated, designed and developed a text labeling tool using Python and jQuery Show less
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Business Analyst
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Nov 2017 - Sep 2018
- writing project proposals- organizing and documenting internal knowledge in Natural Language Processing- initiating, designing and developing a text labeling tool using Python and jQuery- participating in telephone interviews for prospects interns or working students- supporting the organization of internal events
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IBM
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Artificial Intelligence Intern
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Mar 2017 - Sep 2017
I was involved in a question-answering pilot project that was aiming at enhancing the visitor experience in a museum. The paintings exhibited in the museum have a lot of exciting stories hidden behind the canvas. Getting to know the "WHY"s, the "WHO"s and the multiple hidden details can really change the whole experience. We were working with one of the paintings and had several hours of visitor interview data (in Dutch and English) as well as multiple books and publications discussing the story behind the painting and its technical details. Some of the challenges were to transcribe and translate the data (if you want to work with data, you gotta get the data), prepare the interview data so that we would have clearly defined question-answer pairs grouped by topics as well as deal with the very different formats of the very unstructured larger texts. I was one of two team members with my main responsibilites - preparing the data - using Crowdflower to crowdsource other formulations of questions to given answers as training data for a question/intent classification (using IBM Watson services Natural Language Classifier) - defining the QA flow - design and implementation of a user feedback loop to improve answer quality with time - automatic extraction of texts from pdf files (using python libraries) - processing the extracted texts (splitting into paragraphs, various preprocessing steps using python NLTK, spaCy) Show less
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Norvik Banka
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Latvia
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Financial Services
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1 - 100 Employee
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FX & MM Trader
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Dec 2014 - Aug 2015
- Forex Sales- Money Market Advice- Gold Sales (gold bars & digital gold)- Deposit Sales
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Intern in Portfolio Management
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Oct 2014 - Dec 2014
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PSI AG
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Berlin und Umgebung, Deutschland
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Test Manager
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Sep 2012 - Sep 2014
- Softwaretest - Testmanagement - Test automation with Squish - Test organisation in JIRA - Softwaretest - Testmanagement - Test automation with Squish - Test organisation in JIRA
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Education
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2015 - 2017
VU University Amsterdam
Master of Science (MSc), Business Analytics -
2009 - 2014
TU Berlin
Bachelor of Science (B.Sc.), Mathematics
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