HKU Business School, The University of Hong Kong (HKU)

Master of Science in Business Analytics, MSc(BA)

Entrance Scholarship, Student Representative of the 2022-23 MSc(BA) batch

Electives Taken: Machine Learning, Database Management System (DBMS), Social Media and Marketing Analytics, Deep Learning, Big Data Analytics on the Cloud

Data Scientist (On-Site)

DataSoft Systems Bangladesh Limited

December 2023 - Present

• Developed a Streamlit web application for the investment analytics team to obtain daily stock data from the Dhaka Stock Exchange (DSE) website.
• Performed geospatial analysis on microfinance data, identifying regional financial trends and their correlation with Sustainable Development Goals (SDGs).
• Applied time series analysis to microfinance data, uncovering temporal patterns linked to the progression of Sustainable Development Goals (SDGs).

Data Analyst (Remote)

Hong Kong MEXIMCO Group Limited

September 2019 - February 2020

• Established advanced statistical models to identify customer trends and predict future sales growth with 72% accuracy.
• Conducted statistical analysis and built predictive models to uncover trends in export transaction data, resulting in a 24% increase in more incoming trading.
• Constructed and implemented data quality checks that reduced errors in reports by 22%.
• Carried out ad-hoc analysis to answer business questions and provided insights to stakeholders, resulting in improved operational efficiency and cost savings.
• Collaborated with cross-functional teams to analyze large volumes of global export trading data to uncover key insights, leading to a 21% increase in revenue for the company.

Data Analyst Intern (Remote)

Hong Kong MEXIMCO Group Limited

March 2020 - April 2022

• Applied Data Visualisation Tools such Tableau and Orange Data Mining to create interactive graphical representations of financial and trading data.
• Constructed Data Models and documented data flows to improve system architecture and data quality.
• Collaborated with cross-functional teams to identify and resolve data-related issues, resulting in a 16% improvement in data accuracy.