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Schedule Interview NowMy 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.
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HEC
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
This paper represented a comparative analysis of different Machine Learning models for residential load forecasting.
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.
This project involved the development of an LSTM network from scratch (without using inbuilt libraries) to forecast stock data.
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
Master of Science (MS) in Machine Learning
2020-01-01-2022-01-01
Bachelor of Engineering (BEng) in Machine Learning
2015-01-01-2019-01-01
High school degree in
2013-01-01-2015-01-01
Doctor of Philosophy (PhD) in Sustainable Energy
2025-01-01-2029-01-01