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Develop applications with ML/DL algorithms and pattern recognition Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis B-tech/M-tech/Ms in Computer Engineering from a reputed university A degree or diploma in Data Science/ Analytics from a prestigious institute Good command on languages like Python and analysis libraries (e.g., Pandas, NumPy, scikit-learn). Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. .