ENTERPRISE · PRAN-RFL GROUP
Reliable data, at enterprise scale
20+ ETL/ELT pipelines and a Shadow Database architecture connecting transactional systems to analytical workloads while protecting production stability.
DATA ANALYST & RESEARCHER · DHAKA, BD
I’m Al Sakyf Azad. I build reliable data pipelines, turn business questions into analytics, and bring statistical rigor to real-world research.

Analytics & Research
Statistics → Systems → DecisionsAutomated ETL pipelines
Records processed daily
Business units supported
Less manual MIS reporting
01 / ABOUT ME
I work at the intersection of data engineering, business intelligence, and applied research. My background in statistics helps me move from asking the right question to building the systems that answer it.
At PRAN-RFL Group, I developed enterprise pipelines and Power BI solutions across 40+ business units. At Khulna University, I applied machine learning and statistical methods to public health and socio-demographic research.
SQL · Talend ETL · MySQL · MS SQL Server · OLTP/OLAP
Power BI · DAX · SSAS · Advanced Excel · ERP integration
Python · Scikit-learn · TensorFlow · NLP · SPSS · Geospatial analysis
02 / SELECTED WORK
ENTERPRISE · PRAN-RFL GROUP
20+ ETL/ELT pipelines and a Shadow Database architecture connecting transactional systems to analytical workloads while protecting production stability.
ANALYTICS · PRAN-RFL GROUP
40+ Power BI dashboards and executive reports, backed by SSAS models on 100M+ row datasets and embedded into internal ERP platforms.
RESEARCH · MACHINE LEARNING
Comparing artificial neural networks and Spatio-Temporal Graph Convolutional Networks to forecast armed conflict events in Bangladesh.
RESEARCH · NATURAL LANGUAGE PROCESSING
Comparative machine learning classification for Bangladeshi English news headlines, using TF-IDF vectorization and XGBoost.
Project visuals are conceptual illustrations of the work described in my CV.
Enterprise ETL infrastructure, multi-dimensional analytics, and automated executive reporting across 40+ business units.
Market research, tailored solution presentations, and 5+ strategic partner engagements.
Three peer-reviewed research projects spanning public health and socio-demographic analysis, with statistical modelling and machine learning.
Data preparation, feature engineering, model development, and visualization using Python, Scikit-learn, and TensorFlow.
04 / PUBLISHED RESEARCH
Contributions to medical AI, statistical methods, and population research.
05 / EDUCATION & BEYOND
CGPA 3.78 · National Science & Technology Fellowship
CGPA 3.56 · Merit scholarships throughout undergraduate study
IBM Data Science — Coursera (2023)
Data Analyst Career Track — 365 Data Science (2023)
Investment Banker Career Track — 365 Data Science (2023)
Vice President, Khulna University Innovation Club (2020–2023). Led a 40+ member club, managed 10+ events, and coordinated workshops and seminars for 50–200+ participants.
Supported blood donation drives with Badhan, awareness seminars, and survey data collection for SNT.
06 / GET IN TOUCH
Have an analytics challenge or a research idea? Let’s start a conversation.
[email protected] ↗