Portfolio

AroundMe is an innovative platform that solves the challenges of traditional networking methods by connecting professionals instantly based on their shared interests. With a unique hotspot feature, users can focus on specific areas and events, fostering productive and lasting business connections.

Introducing an automated reporting system for Claim management at Daraz, utilizing an interactive Excel dashboard. Analyzing the sample claims dataset, it provides insights on reimbursements, financial analysis, and future trends of claim settlements.

In collaboration with the marketing team, I developed a sentiment analyzer for Daraz to understand customer sentiment during the 12.12 campaign. This project enables Daraz to classify customer sentiment and make data-driven decisions to improve customer satisfaction.

This is an interactive Tableau dashboard that provides comprehensive insights into the historical price trends of cryptocurrencies from 2015 to 2022, enabling users to make informed investment decisions and choose between single currency investments or diversified portfolios.

This project uses Artificial Intelligence (AI) and Machine Learning (ML) models in the "Teachable Machine” platform to detect Bangla Numericals from the car plates.

This project addressed the regulation-related constraint faced by female students at IUT by automating food delivery from the campus store, CDS. This project not only resolved the predicament for female students but also improved the ordering process efficiency by 42%, leading to its continued development by the ICT department at IUT.

The H&M personalized fashion recommendations system uses the customer purchase data and machine learning model (Hybrid recommendation system, Collaborative filtering, and Content-based filtering) to make product recommendations to the customer.

Developed an interactive Tableau dashboard integrated with SQL data retrieval to analyze participant satisfaction factors and their correlation with demographics, enabling MESC to enhance service quality and improve overall participation experience for SWANA CON.

Product Marketing Forecasting KPI Dashboard is developed using Microsoft Fabric (Power BI) for internal pacing reporting purpose.

This project provides an overview of sports landing pages at Peacock and the audit conducted is to analyze the product positioning of competitors that may be influential to optimize Peacock’s Sports landing pages.

This project aims to assess the profitability of Zoom's revenue streams by comparing the free model with ads against the premium model without ads. Through revenue analysis and simulation, we determine the more profitable strategy and evaluate the number of ads shown to free users to enhance user satisfaction by identifying the optimal monthly ad frequency.

Strayn3d is a subscription-based platform revolutionizing the cannabis industry by connecting medical users with their ideal strains effortlessly. With Strayn3d, users can find, order, and pick up their precise cannabis strains, saving time and ensuring a personalized experience.

This project aims to enhance the operational efficiency of Daraz, a leading e-commerce platform, by implementing a spatial visualization solution. By visually displaying the collection points across different regions of Bangladesh, this solution enables real-time monitoring and optimization of Daraz's operations department, ensuring a seamless customer experience.