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Mohammed Faisal Fardin Chowdhury UserMU
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Mohammed Faisal Fardin Chowdhury User

@mohammedfaisalfardin

Data Analyst at Excelerate who built interactive Looker Studio dashboards and published research on machine learning-based disease prediction.

Bangladesh
Message

What I'm looking for

I’m eager to apply my analytical and technical skills to turn data into actionable insights that support business decisions.

At Excelerate, I analyzed datasets with SQL, cleaned and validated source data, and built interactive Looker Studio dashboards for remote teams. I earned a 95% overall performance rating in a 360-degree evaluation.

I built an Excel dashboard for bike sales and customer demographics, using cleaned data, age brackets, pivot tables, and connected slicers to explore purchasing behavior. In MySQL, I cleaned and analyzed a layoffs dataset and built a pipeline for shipment records.

My published research, “Prediction and Detection of Liver Diseases Using Machine Learning and Deep Learning,” appeared in the 2025 28th International Conference on Computer and Information Technology (ICCIT).

At Devxui, I coordinate with clients to document requirements and track project milestones across teams. As General Secretary of IIUC Computer Club, I coordinated initiatives including IIUC CSE Fest 2026 and the National-level NextGen Hackathon 2025.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

OS

OSATD

AI Driven Data Analytics Course, Data Analytics

In progress AI Driven Data Analytics Course.

HC

Hajera Taju Degree College

Higher Secondary Certificate, General

Grade: 5.00/5.00

Completed Higher Secondary Certificate with a GPA of 5.00/5.00.

RC

Rangunia Public School and College

Secondary School Certificate, General

Grade: 5.00/5.00

Completed Secondary School Certificate with a GPA of 5.00/5.00.

International Islamic University Chittagong logoIC

International Islamic University Chittagong

Bachelor of Science, Computer Science & Engineering

2022 - 2026

Grade: 3.48/4.00

Graduated with a B.Sc. in Computer Science & Engineering, achieving a final CGPA of 3.48/4.00.

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