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Abdul K.

@akasifryk

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Research Professor

$20 USD / 時間
のフラグ
Korea, Republic Of (3:18 午後)
登録日: 11月 11, 2024
$20 USD / 時間
Overview: I specialize in designing and implementing AI and machine learning models tailored to solve complex business challenges. With extensive experience in Deep Learning, Large Language Models (LLMs), and Predictive Analytics, I offer custom AI solutions that deliver high accuracy and actionable insights. My work focuses on: Developing state-of-the-art ML models, including CNNs, RNNs, and transformer models. Specializing in natural language processing with expertise in BERT, GPT-4, and other LLMs. Creating predictive models for healthcare, finance, and IoT applications. Let’s transform your data into valuable business insights using cutting-edge machine learning technology. Key Services: AI Model Development and Deployment NLP & Sentiment Analysis Machine Learning Algorithm Tuning Predictive Analytics for Business Decision-Making Overview: As a Data Science & Visualization Expert, I turn data into meaningful insights through advanced analytics and effective visualization. I bring over 10 years of experience working with data science projects and data visualization tools to help businesses unlock the full potential of their data. My core expertise includes: Data Collection & Processing: Extensive experience in wrangling large datasets, cleaning data, and preparing it for analysis. Statistical Analysis and Predictive Modeling: Applying machine learning techniques for classification, regression, clustering, and anomaly detection. Data Visualization: Creating impactful charts, dashboards, and visuals with Matplotlib, Seaborn, and Tableau to effectively communicate insights. Whether you need to understand complex data trends or build dashboards that bring clarity, I’m here to help bring your data to life. Key Services: Data Processing & Analytics Predictive Modeling & Machine Learning Data Visualization (Tableau, Matplotlib, Seaborn) Insightful Reporting and Dashboard Creation
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経験
Research Professor
5月, 2024 - 現在
7 , 19
Hallym University
5月, 2024 - 現在
7 , 19
Conducted research and taught advanced courses in artificial intelligence and machine learning. • Taught the "Large Language Models (LLM)" course, focusing on state-of-the-art techniques and applications in natural language processing. • Published research articles in reputable journals and conferences. • Supervised graduate students' research projects.
のフラグ
Chuncheon, Korea, Republic of
5月, 2024 - 現在
7 , 19
Research Professor
11月, 2022 - 3月, 2024
1 , 4
Korea University
11月, 2022 - 3月, 2024
1 , 4
Conducted research and taught advanced courses in artificial intelligence and machine learning. • Developed and taught the "Large Language Models (LLM)" course, focusing on state-of-the-art techniques and applications in natural language processing. • Published research articles in reputable journals and conferences. • Supervised graduate students' research projects.
のフラグ
Sejong, Korea, Republic of
11月, 2022 - 3月, 2024
1 , 4
Assistant Professor
8月, 2022 - 10月, 2022
2
Superior University
8月, 2022 - 10月, 2022
2
Teaching, Conduct Research, Writing articles, Management and Administration.
のフラグ
Rahim Yar Khan, Pakistan
8月, 2022 - 10月, 2022
2
学歴
Universitas Gajah Mada
2019 - 2022
3
PhD
のフラグ
Indonesia
2019 - 2022
3
スキル
LangChain for LLM Application Development
2024
DeepLearning.AI
https://www.coursera.org/learn/langchain-for-llm-application-development-project/home/week/1
2024
ChatGPT Prompt Engineering for Developers
2024
DeepLearning.AI
https://www.coursera.org/learn/chatgpt-prompt-engineering-for-developers-project/home/week/1
2024
Understanding Large Language Models in Business
2024
Coursera
https://www.coursera.org/account/accomplishments/verify/17UJQV4Q688H
2024
出版物
METHODOLOGY FOR ANALYZING THE TRADITIONAL ALGORITHMS PERFORMANCE OF USER REVIEWS USING ML technique
MDPI
https://www.mdpi.com/1999-4893/13/8/20
LDSVM: Leukemia Cancer Classification Using Machine Learning
CMC-Computers, Materials & Continua
https://www.techscience.com/cmc/v71n2/45786/html
Phishing Detection System through Machine Learning Based on URL using Hybrid Approach
IEEE
https://ieeexplore.ieee.org/document/10058201
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