Self-motivated and hardworking graduate seeking an opportunity to work in a challenging environment demanding all my skills and efforts to explore and adapt myself in different fields and utilizing my skills towards the growth of the organization.
Knowledge in Python and MySQL. Knowledge in all the phases of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC) methodologies. Creating Test Scenarios, Writing and Executing Test Cases, Defect Tracking and well versed in Different Test Management Tools like Microsoft share Point. Tested applications and documented results and bugs including documentation. Knowledge in Manual Testing, Black Box, Functional Testing and Regression Testing.
CRYPTO CURRENCY PRICE ANALYSIS USING AI, Python, Advanced Artificial Intelligence frameworks of Fully Connected Artificial Neural Networks (ANN) and Long Short Term Memory (LSTM) Recurrent Neural Networks to analyze the price dynamics., Artificial Neural Networks find that ANN tends to rely more on long-term history while LSTM tends to rely more on short-term dynamics, which indicates the efficiency of LSTM to utilize useful information hidden in historical memory is stronger than ANN. However, given enough historical information ANN can achieve a similar accuracy, compared with LSTM. This study provides a unique demonstration that Cryptocurrency market price is predictable. However, the explanation of the predictability could vary depending on the nature of the machine-learning model involved.
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Playing Chess, Cricket & Listening to Music.
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