To leverage my skills, experience in a dynamic and challenging environment, fostering innovation and continuous improvement while contributing to the organization's growth and success.
Predicting Stock prices using Machine Learning, Pattern Effects Lab, 05/01/19 - 07/31/19: The project involved performing a Two-Class Classification on NIFTY Intraday Stocks data using Machine Learning techniques. Various models including Random Forest, XGBoost, and ANN were utilized. To enhance accuracy, an aggregated approach was employed, resulting in significantly improved results.
Software Fault Detection using Machine Learning, NIT Rourkela, 09/01/20 - 02/28/21: The principle objective of the analysis was to assess the capacities and strength of different machine learning and neural network based procedures in software fault prediction. Utilize predictive machine learning and neural network modelling procedures to classify software faults and identify them in an efficient way utilising SVM and ANN.
Date of Birth: 05/13/98
Perseverance, Quickly establish rapport and build up trust