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Danyal K. AI, Data Science and Machine Learning Platforms

My name is Danyal K. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, Data Science, pandas, Deep Learning, Machine Learning, etc.. I hold a degree in Master of Science (MS), Bachelor of Engineering (BEng), High school degree, Doctor of Philosophy (PhD). Some of the notable projects I've worked on include: Reinforcement Learning based Multi-Agent system, A conference paper published in IEEE Xplore, A journal paper published in IEEE access, Stock Market Forecasting Model using synthetic LSTM Model, Energy Consumption Forecasting Model using LSTM. I am based in Islamabad, Pakistan. I've successfully completed 5 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • AI, Data Science and Machine Learning Platforms

    6 years

  • Python

    2 Years

  • Data Science

    5 Years

  • pandas

    3 Years

Additional skills

  • Python
  • Data Science
  • pandas
  • Deep Learning
  • Machine Learning
  • Data Visualization
  • Time Series Analysis
  • Forecasting
  • Predictive Modeling
  • Energy Management
  • Data Analytics
  • TensorFlow
  • AI Data Analytics
  • Regression Analysis
  • Python Scikit-Learn

Direct hire

Potentially possible

Previous Company

HEC

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Experience Highlights

Reinforcement Learning based Multi-Agent system

This project involved the development of a Q-learning based multi-agent system for optimal appliance scheduling of multiple residential units for reduced energy consumption, energy cost, and the remov

A conference paper published in IEEE Xplore

This paper represented a comparative analysis of different Machine Learning models for residential load forecasting.

A journal paper published in IEEE access

This is a journal article that was published in IEEE access. It presented a Reinforcement Learning multi-agent system for optimal appliance scheduling oh households.

Stock Market Forecasting Model using synthetic LSTM Model

This project involved the development of an LSTM network from scratch (without using inbuilt libraries) to forecast stock data.

Energy Consumption Forecasting Model using LSTM

This project involved the development of a Machine Learning based residential energy consumption forecasting system for multiple households. The sequential LSTM network was employed to solve the probl

Education

  • Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

    Master of Science (MS) in Machine Learning

    2020-01-01-2022-01-01

  • UET Peshawar

    Bachelor of Engineering (BEng) in Machine Learning

    2015-01-01-2019-01-01

  • PAF College, Risalpur

    High school degree in

    2013-01-01-2015-01-01

  • University of Technology Sydney

    Doctor of Philosophy (PhD) in Sustainable Energy

    2025-01-01-2029-01-01

Languages

  • English (Native or Bilingual)