Junior Data Analyst
Computer Science graduate (CGPA 3.70/4.00) with a strong foundation in data structures, algorithms, and object-oriented programming, and hands-on development experience in Python, C++, and SQL across real-world banking and business systems. Experienced in debugging, testing, and documenting software solutions — from building end-to-end machine learning pipelines to developing MySQL-based CRUD applications. Eager to apply strong programming fundamentals, analytical thinking, and a fast-learning curve to support SAP ABAP development, functional issue resolution, and enterprise system enhancements within an SAP/IT team.
Excelerate
সেপ ২০২৫ — সেপ ২০২৫· Under a month
Performed exploratory data analysis (EDA) and debugging of marketing campaign datasets in Python (Pandas, Matplotlib, Seaborn), identifying and resolving data quality issues prior to analysis. Authored structured technical documentation translating raw data findings into actionable business recommendations for stakeholders. Applied data cleaning and transformation techniques to resolve missing values, outliers, and inconsistent formatting across multi-source data, improving tracking methodology accuracy by 5%.
Janata Bank PLC (Motijheel Corporate Branch)
জুল ২০২৫ — অক্টো ২০২৫· 3 mos
Designed, developed, and tested a Customer Churn Prediction model in Python (Scikit-learn, Pandas), covering the full development lifecycle — coding, validation, and performance evaluation — on real banking data. Debugged and cleaned a 21-feature banking dataset, identifying and resolving data inconsistencies to improve churn-tracking accuracy by 9%. Collaborated with internal banking staff and supervisors to troubleshoot and resolve data/query issues, supporting systemic efficiency across 14,323+ customer queries. Provided Tier-1 technical support, assisting with hardware/software configuration, deployment, and day-to-day IT operations for internal banking systems.
2022 – 2025
B.Sc. · Computer Science & Engineering · 3.70/4.00
2018 – 2020
Higher Secondary Certificate (HSC) · Science · 5.00/5.00
2016 – 2018
Secondary School Certificate (SSC) · Science · 5.00/5.00
Developed a menu-driven CRUD application enabling teachers to create, update, and manage student records; integrated a MySQL database via mysql.connector and implemented business logic for automated grade evaluation.
Built, tested, and evaluated a full ML pipeline for churn prediction on real banking data — data cleaning, feature selection, model training, and validation — to flag at-risk customer segments.
Developed and tested a sentiment analysis system (NLTK for text cleaning, TF-IDF for feature extraction), benchmarking multiple classification models (89.06% accuracy) and deploying predictions via a Flask API.
২০২৫
Creative IT Institute