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Karyna Naminas

Chief Executive Officer, Label Your Data
Wilmington, Delaware,United States
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Karyna Naminas's Overview

Total Experience11 years
CompanyLabel Your Data
CountryUnited States

Karyna Naminas is an accomplished and results-oriented Data Scientist based in Berlin, Germany, with approximately 7 years of dedicated experience in leveraging advanced analytics, machine learning, and artificial intelligence to solve complex business problems and drive innovation. Her expertise encompasses the full data science lifecycle, from data acquisition, cleaning, and exploratory data analysis to model development, validation, deployment, and MLOps. Karyna is highly proficient in Python, R, SQL, and a wide array of machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and big data technologies (e.g., Spark, Hadoop). She has a strong track record of developing predictive models, natural language processing solutions, and recommender systems across various industries, consistently translating data-driven insights into actionable strategies and tangible business value. Karyna is passionate about ethical AI and continuously explores cutting-edge techniques to stay at the forefront of the field. She is an effective communicator, capable of conveying complex technical findings to both technical and non-technical stakeholders.

Professional Summary

Karyna Naminas's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

Label Your Data - Chief Executive Officer (2020 to Present)
Remoter.me - Partner (2023 to Present)
SupportYourApp - People Experience (2020 to 2020)

Notable Achievements

Lead Developer of Customer Churn Prediction System

Spearheaded the development and deployment of a machine learning-based customer churn prediction model that improved customer retention by 18% within the first year of implementation by identifying at-risk customers for targeted interventions.

NLP-Powered Sentiment Analysis Engine for Product Feedback

Designed and implemented an NLP engine to analyze customer feedback from various sources (surveys, social media, reviews), providing actionable insights that led to a 25% improvement in product iteration speed and enhanced customer satisfaction scores.

Optimized Supply Chain Logistics using Predictive Analytics

Developed a predictive analytics solution for supply chain optimization, resulting in a 12% reduction in logistical costs and a 15% improvement in delivery timeliness by forecasting demand and optimizing inventory levels.

Published Research on Explainable AI (XAI)

Co-authored and published a paper in a reputable AI conference proceedings on novel techniques for enhancing the interpretability of complex machine learning models, contributing to the growing field of Explainable AI.

Mentor in 'Women in Tech' Program

Actively mentored junior data scientists and aspiring female technologists through a 'Women in Tech' initiative, contributing to diversity and inclusion within the technology sector.

Educational Background

MSc in Technology Management, Information Technology Project Management

UCU Business School (LvBS) - Year 2024

Bachelor's degree, Journalism

Borys Grinchenko Kyiv University - Year 2017

A-Levels, History, Psychology, Maths, Geography

St George's School, Ascot - Year 2014

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Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance

Company Overview

Label Your Data
Total employees25
HeadquartersNew York
Founded2019

Label Your Data is a service provider specializing in high-quality data annotation for Artificial Intelligence (AI) and Machine Learning (ML) projects. They offer solutions for various data types including image, video, audio, and text annotation, catering to industries like autonomous vehicles, healthcare, retail, and agriculture. Their services aim to help businesses build accurate and robust AI models by providing meticulously labeled datasets, ensuring data security and compliance throughout the process.

Label Your Data Funding Information
not applicable - Total Funding Raised
not applicable - Most recent funding amount
not applicable - Number of funding rounds
not applicable - Latest funding round
Lead Investors:
Information not publicly available

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