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Data Analyst with less than a year in data visualization & machine learning.
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Assessing your cultural and operational fit
As a data analyst, I worked with the marketing, sales, and finance teams to generate daily reports and track product sales data. I was responsible for identifying any irregularities, ensuring data consistency, and providing actionable insights directly supporting functions such as revenue monitoring, control validation, and business process assurance.
American International University-Bangladesh (AIUB)
Bachelor of Science in Computer Science and Engineering · Information Systems
August 1, 2020 – June 30, 2025
Sena Polli High School
Secondary School Certificate (SSC)
N/A – May 31, 2017
Dhaka Cantt. Girls Public School and College
Higher Secondary Certificate (HSC)
N/A – May 31, 2019
Ismartu Technology BD Limited
Data Analyst Intern (Sales Management in Finance Department)
November 1, 2024 – February 1, 2025
India
Car Price Prediction Using ML
June 24, 2026 – Present
Car Price Prediction using machine learning algorithms (Machine Learning course)
View ProjectAirplane Detection Using RCNN
June 24, 2026 – Present
Airplane Detection using RCNN (Computer Vision and Pattern recognition (CVPR) course)
View ProjectThesis
June 24, 2026 – Present
Domain: Household survey data of adoption of improved varieties and management practices in rice production using machine learning
Data Preprocessing & Visualization
June 24, 2026 – Present
Data Preprocessing, Visualization, Web Scraped using a sample dataset from Kaggle (Data Science course)
View ProjectCultural Fit Analysis
The candidate's academic background in Computer Science and Engineering with a major in Information Systems, coupled with a strong interest in AI, Machine Learning, Data Science, and Data Mining, aligns well with a data-driven organizational culture. The diversity of academic projects (ML, CV, Data Preprocessing) indicates a broad curiosity and willingness to explore different facets of data analysis. The internship, though short, shows an initiative to gain practical experience in a business setting.
Soft Skills & Operational Fit
The candidate's professional summary highlights responsibilities in identifying irregularities, ensuring data consistency, and providing actionable insights, which are crucial for a Data Analyst role. The academic projects demonstrate problem-solving skills and an interest in applying analytical techniques. However, the short duration of the internship and the academic nature of most projects suggest a need for further development in real-world operational contexts.