A qualified business intelligence analyst is versed in data mapping and user acceptance testing to solve complex problems in high-pressure environments. Activates strong analytical skills to investigate trends in large amounts of data and formulate conclusions based on findings. Excels at cultivating, managing, and leveraging client relationships to foster extended engagements and business opportunities.
Published in 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), 2022, pp. 119–124, https://ieeexplore.ieee.org/abstract/document/9866961/2021
A Real-World Data-set Project Created in a dashboard demonstrating repeated guest statistics, number of confirmed bookings, cancellations, etc.
https://public.tableau.com/app/profile/md.zakir.hossain.zamil/viz/HotelBookingDashboard-aRealWorldDatasetProject/Dashboard-HotelBookings
Implemented tableau features like custom calculated fields and worksheet actions to access raw data for users. The goal of the project is to find out if people recommend their products. Analyse the reviews by division and get rid of negative reviews. https://public.tableau.com/app/profile/md.zakir.hossain.zamil/viz/EcommerceReviewDashboard/Dashboard1
Conduct quantitative analysis and pre-possessed absenteeism data analysis, and use logistic regression to find the key factors. I created Regression model using the scikit-learn package and compared its accuracy with Naive Bayes and the K-Nearest Neighbours model
Led prediction to develop value propositions for an audiobook company seeking to find out whether or not a customer will buy again. Built a Deep learning model using Tensorflow,