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Senior
Registration: 28.07.2022

Iskander Akhmetov

Specialization: Data Science (NLP)
Passionate Data Science Researcher Specializing in Natural Language Processing As a dedicated Data Science researcher with a strong foundation in Natural Language Processing (NLP) and financial analysis, I am driven by the challenge of transforming complex data into meaningful insights. My work focuses on advancing the field of NLP through innovative approaches to Automatic Text Summarization, Sentiment Analysis, Dialogue Systems, Question Answering, and Morphological Analysis. Areas of Expertise: - Automatic Text Summarization: Developing algorithms to efficiently condense large volumes of text into concise summaries, enabling faster decision-making and enhanced information retrieval. - Sentiment Analysis: Analyzing text data to determine sentiment, helping businesses and organizations gauge public opinion and customer satisfaction. - Dialogue Systems: Creating intelligent systems that can engage in natural, human-like conversations, with applications in customer service, virtual assistants, and more. - Question Answering: Designing systems capable of understanding and answering complex questions, providing accurate information swiftly and effectively. - Morphological Analysis: Studying the structure of words to improve language processing tasks, particularly in languages with rich morphology. Professional Impact & Achievements: In my previous roles, I have successfully applied my expertise in NLP to develop tools and models that enhance the understanding of textual data. My financial analysis background allows me to approach NLP challenges with a unique perspective, particularly in domains where precise data interpretation is critical. Professional Philosophy: I believe that the future of data science lies in the ability to create systems that can understand and process human language as efficiently as they do numerical data. My goal is to push the boundaries of NLP to create solutions that not only automate but also enhance human capabilities in understanding and leveraging textual information. Call to Action: I am always eager to connect with professionals and organizations interested in the cutting-edge applications of NLP. Whether it’s a collaborative research project or a business challenge that requires innovative solutions, I am ready to contribute my expertise. Let’s connect and explore how we can work together to drive advancements in Natural Language Processing.
Passionate Data Science Researcher Specializing in Natural Language Processing As a dedicated Data Science researcher with a strong foundation in Natural Language Processing (NLP) and financial analysis, I am driven by the challenge of transforming complex data into meaningful insights. My work focuses on advancing the field of NLP through innovative approaches to Automatic Text Summarization, Sentiment Analysis, Dialogue Systems, Question Answering, and Morphological Analysis. Areas of Expertise: - Automatic Text Summarization: Developing algorithms to efficiently condense large volumes of text into concise summaries, enabling faster decision-making and enhanced information retrieval. - Sentiment Analysis: Analyzing text data to determine sentiment, helping businesses and organizations gauge public opinion and customer satisfaction. - Dialogue Systems: Creating intelligent systems that can engage in natural, human-like conversations, with applications in customer service, virtual assistants, and more. - Question Answering: Designing systems capable of understanding and answering complex questions, providing accurate information swiftly and effectively. - Morphological Analysis: Studying the structure of words to improve language processing tasks, particularly in languages with rich morphology. Professional Impact & Achievements: In my previous roles, I have successfully applied my expertise in NLP to develop tools and models that enhance the understanding of textual data. My financial analysis background allows me to approach NLP challenges with a unique perspective, particularly in domains where precise data interpretation is critical. Professional Philosophy: I believe that the future of data science lies in the ability to create systems that can understand and process human language as efficiently as they do numerical data. My goal is to push the boundaries of NLP to create solutions that not only automate but also enhance human capabilities in understanding and leveraging textual information. Call to Action: I am always eager to connect with professionals and organizations interested in the cutting-edge applications of NLP. Whether it’s a collaborative research project or a business challenge that requires innovative solutions, I am ready to contribute my expertise. Let’s connect and explore how we can work together to drive advancements in Natural Language Processing.

Portfolio

Grata info

IT projects: - Librarian database application for universities ("Librarian" v.1.0). - "Contracts and agreements" v.1.0. - "Arbitrage cases" v.1.0.

Tele2

Client Base Management: - Predictive modeling. - Clustering and segmentation tasks. - Big Data. - Descriptive analytics. - Social media scraping. - Sentiment analysis. - Topic modeling. Achievements: - M2M device detection model. - Social networks posts sentiment analysis. - Client LTV prediction model.

Capital Partners

Position: Development manager, Quality Representative. Projects: Marriott Executive Apartments in Atyrau City, Astana Shopping Mall,Atyrau Renaissance Hotel, Development and implementation of the QualityManagement System.

Skills

Python
Data Science
NLP
Machine Learning
Financial Analysis
Business Planning
SaaS

Work experience

Senior analytics and Data Science manager
03.2019 - 11.2019 |Tele2 Kazakhstan
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Client Base Management: - Predictive modeling. - Clustering and segmentation tasks. - Big Data. - Descriptive analytics. - Social media scraping. - Sentiment analysis. - Topic modeling. Achievements: - M2M device detection model. - Social networks posts sentiment analysis. - Client LTV prediction model.
Machine Learning Specialist
06.2018 - 03.2019 |Institute of Information and Computational Technologies (KZ)
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Project: Natural Language Processing (NLP) project Tasks: - Machine learning - Web crawling and scraping - Data mining Achievements: - Mass media news articles sentiment analysis model - Russian language word lemmatizer - Speaker recognition model for Kazakh language (by person/gender) - News portal crawler and scraper
Development manager / Quality Representative
06.2005 - 12.2007 |Capital Partners
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Projects: - Marriott Executive Apartments in Atyrau City - Astana Shopping Mall - Atyrau Renaissance Hotel Tasks: Development and implementation of the Quality Management System.
Software Engineer
07.2001 - 01.2002 |Grata info
Database
IT projects: - Librarian database application for universities ("Librarian" v.1.0). - "Contracts and agreements" v.1.0. - "Arbitrage cases" v.1.0.
Web Designer
04.2002 - 01.2003 |Transparency Kazakhstan
HTML, CSS, JavaScript
Responsibilities: - Corporate website development and support (HTML, CSS, Javascript) - System administration
Business development manager
01.2008 - 06.2011 |Ecocom LLC
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Project: GHG inventarization application development Responsibilities: - Business planning - Financial modeling - Analyzing and reengineering business processes
Chief project financier
11.2011 - 04.2012 |Kablan LLC
Microsoft Navision
Project: Vesnovka residential construction project financial planning, business planning and control. Tasks: Participation in implementing of the Microsoft Navision ERPS customized for construction industry.
Senior Consultant
04.2012 - 07.2012 |Deloitte TCF LLP
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Project: Debt restructuring project for agricultural holding. Tasks: - Corporate Finance consulting - Business planning - Financial modeling
Director
08.2012 - 06.2018 |Akhmadi Invest
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Project: Financial advisory, Business planning, Financial modeling, Financing intermediary. Conducting business consultancy services in the following industries: - Transportation & logistics - Machinery - Construction & Development - Mining & Metalls - Energy - Information Technology - Agriculture - Food & beverages - Restaurants - Sporting activities
Chief Data Officer
11.2019 - 02.2020 |DAR
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Project: Managing the Data office Implementation of the Data driven approach for: - Revenue generation - Cost control - Risks mitigation
Associate Professor
since 09.2019 - Till the present day |Kazakh-British Technical University
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- Engage in curriculum development and program enhancement to align with industry standards. - Conducting lectures and seminars on subjects: • Data mining (F2019, F2020, F2021, F2022, F2023) • Natural Language Processing (S2020, S2021, F2022, F2023, S2024) • Data Science: Cases from Industry (F2023) • Introduction to Programming for Data Science (F2023) - Projects in Data Science Lab: • Techgarden competition: Digitalization of water supply system for a coal mining company, 1st place, won the contract (June 2023). • Kazenergy Energy Sector Association: Hackaton for Oil company ranking system development, 1st place, won the Analytical Industrial Data Base System Development contract (June 2023). • Analytical Data Base Development for Kazenergy (July-December 2023)
Founder / Director
since 03.2020 - Till the present day |AI RESEARCH
AI
AI Startup company with current projects: - DomainWikiQA, an AI-powered Question answering system generating on query a short wiki-article from documents in a Knowledge Base Demo at https://apps.airesearch.science/dwqa - GreedSum Chrome Extension, a web-page text summarize Try here https://chromewebstore.google.com/detail/greedsum-automatic-web-pa/khmblomepjmgjoahpcpemgccimcflkba)
Data Science Researcher
since 06.2020 - Till the present day |Institute of Information and Computational Technologies
NLP
Research in Natural Language Processing participating in scientific projects funded by the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan: - Information-contextual search in large text data with weak labeling (2024-2026) - Development of Machine Learning Methods for Improving Text Coherence in the Problem of Quasi-Summary of Large Text Arrays (2022-2024) - Development of language-independent self-learning methods for semantic analysis of large arrays of text data (2021-2023) - Development of methods and algorithms for augmenting input data for modifying vector word embeddings (2021-2023) - Development of an expert system for decision support in the space industry (2021-2023) - Development of information technologies and systems to stimulate sustainable development of the individual as one of the foundations for the development of digital Kazakhstan (2018-2020)

Educational background

Data Analytics (PhD)
2018 - 2019
Kazakh-British Technical University
Data Analytics (Masters Degree)
2017 - 2018
Kazakh-British Technical University
MBA, Finance, Management
2009 - 2011
Kazahstanskij Institut Menegžmenta, Ekonomiki i Prognozirovanija
Computer Software Engineering
2000 - 2002
Suleyman Demirel University

Languages

TurkishAdvancedKazakhElementaryRussianNativeEnglishAdvanced