プロフィール詳細

プロジェクトを作成

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Danyal Khan K.に依頼

Pakistan

Data Scientist | Electrical Engineer | Energy Management | Electricity Markets | Expert in Python, MATLAB and Excel

プロフィール概要

During my Master’s studies at the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), I focused on developing an intelligent energy management framework. My thesis, titled “Pricing-Based Demand Response and Voltage Control using Multi-Agent Reinforcement Learning and Load Forecasting”, demonstrates the intersection of advanced machine learning and power systems. I designed a multi-agent reinforcement learning system integrated with predictive energy forecasting to optimize time-of-use pricing based demand response and maintain voltage stability within a smart grid. The research was published in IEEE Access, highlighting its contribution to the existing research paradigm. In addition to my academic work, I have gained diverse research and industry experience. As a Data Scientist at Saba IT Solutions, I have applied machine learning techniques to real world datasets for predictive modeling and trend analysis. This experience enhanced my expertise in machine learning based predictive modeling, and my ability to extract actionable insights from complex data. My prior role as a Research Assistant at COMSATS University allowed me to design optimization algorithms for an HEC-NRPU-funded project, reinforcing my capabilities in algorithmic design. My research skills comprise of advanced AI techniques for smart energy management systems and modern electricity markets. The relevant skills include the ability to design robust time series forecasting models (Transformer, Long-short term memory, Gated recurrent unit), regression models (Feed-forward artificial neural network, Random forest, Decision tree, Support vector machine etc.), and reinforcement learning methodologies (Q-Learning, Markov decision process) for implementation in various facets of smart energy systems and modern electricity markets.

専門分野

• ★ Electrical Engineering
• ★ Artificial Intelligence
• ★ Python
• ☆ Power Engineering
• ☆ Data Analysis
• ☆ Machine Learning
• ☆ SPSS
• ☆ Matlab
• ☆ SQL
• ☆ Excel
• ☆ Tensorflow
• ☆ LaTex
• ☆ R
• ☆ Tableau
• ☆ Scikit-learn

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, General Proofreading & Editing

Research Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Digital Strategy Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Product Development Formulation, Reverse Engineering

職務経験

Contract Data Scientist

Saba IT Solutions (Upwork Escrow)

10月 2022 - 現在

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

1月 2020 - 現在

Graduate Research Assistant / Research Assistant

COMSATS University Islamabad

7月 2022 - 10月 2022

Graduate Researcher

Ghulam Ishaq Khan Institute of Science & Technology

1月 2020 - 5月 2022

学歴

Masters of Science

Ghulam Ishaq Khan Institute of Science & Technology - Pakistan

1月 2020 - 5月 2022

Masters of Science in Electrical Engineering (Electrical Engineering)

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

1月 2020 - 5月 2022

Bachelors

University of Engineering and Technology - Peshawar

10月 2015 - 7月 2019

Bachelor of Science in Electrical Engineering (Electrical Engineering)

University of Engineering and Technology Peshawar

10月 2015 - 7月 2019

認定資格

• Google Data Analytics Professional Certificate

  coursera

  https://www.credly.com/badges/55ddd836-67aa-4d41-8b92-defd7b5c7d7a/linked_in_profile

  12月 2023 - 現在

出版物

JOURNAL ARTICLE

Danyal Afgan Khan, Ammar Arshad, Matti Lehtonen, Karar Mahmoud(2022). Combined DR Pricing and Voltage Control Using Reinforcement Learning Based Multi-Agents and Load Forecasting . IEEE Access. 10. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 130839--130849. IEEE

CONFERENCE PAPER

Danyal Afgan Khan, Ammar Arshad, Zaiwar Ali(2022). Performance Analysis of Machine Learning Techniques for Load Forecasting . 2021 16th International Conference on Emerging Technologies (ICET). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--6.