November 2020 - November 2021 / Dhaka, Bangladesh
● Designed UI/UX using hybrid framework Flutter
● Effectively communicated with clients to discern and address their specific requirements
● Craft documentation for app design, ensuring clarity and alignment with client objectives
March 2020 - September 2020 / Dhaka, Bangladesh
● Developed a CNN-based machine learning model for face mask detection, with 95% detection accuracy
● Prepared an OCR system, to extract Bangla and English text data from NID cards and store them in json
● Directed an automated data scraping utilizing Python libraries, 50% reduction in data collection time
June 2019 - January 2020 / Dhaka, Bangladesh
● Analyzed Dataset using 10-fold cross validation, evaluation and classification algorithms
● Achieved highest testing accuracy of 97.92% with Decision Tree (J48), outperforming Logistic Regression, KNN, and Naive Bayes
● Evaluated additional performance metrics (TPR, FPR, Precision, Recall, F-Measure, AUC), confirming Decision Tree's superior performance in disease classification
● Co-authored a conference paper presenting our findings, with the Decision Tree (J48) achieving the highest testing accuracy of 97.92%