Interesting in machine learning (especially deep learning) and AI along with extracting meaningful insights from various datasets and doing time-series forecasting and conducting valuable reports. I am very aware of disc…
Interesting in machine learning (especially deep learning) and AI along with extracting meaningful insights from various datasets and doing time-series forecasting and conducting valuable reports. I am very aware of discipline and hard work, and I believe that curiosity with the ability to research and understand combined with a cooperative attitude are the keys of becoming a successful employee who can make big contributions for the firm. Besides, I want to learn more and find out about AI and machine learning along with the passion of becoming a Data Scientist or a Data Engineer.
Prepare and pre-process the data into each batch in which there are 12 consecutive inputs and 1 output, which is the right shape for monthly prediction before training the models.
Applying a set of deep learning models including LSTM, GRU, TCN, SRNN and the combination of CNN-LSTM to forecast and see that the electricity consumption in the UK will increase gradually from 22000 MWs to more than 30000 MWs in 2028.
Regarding Mean Absolute Error (MAE), LSTM, GRU and CNN-LSTM are the three best deep learning models.
In terms of R-Squared, LSTM, GRU, and CNN-LSTM again are the three best models which understand the data oscillation quite well with their corresponding R-Squared values.
Did programming and data visualizations using Python, specifically using libraries such as Pandas, Numpy, Pyplot, Seaborn.
Analyzed data, compiled visual reports using scatter plots, bar and distribution charts to identify 4 main factors leading to employees attrition of a company are job, environment and relationship dissatisfaction along with the frequency of overtime working.
Analyzed data, compiled visual reports using bar and stack bar charts, to compare soccer players’ performances via their fouls, free kicks, off sides, passes, and shots.
Was assigned to a group of five members in a small project developing a blog website, in which taking the role of front-end developer and requirement analyst.
Learned about HTML, CSS, JavaScript in website development, and MongoDB for back-end.
Learned the process of requirements gathering and analyzing, and defining the business risks for management.
Using MS Office such as Excel, Word and PowerPoint to generate reports and presentations.
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