Data · Research · Products
Banker by profession, analyst by training. I work across quantitative research, statistical analysis and AI-assisted product development, with the same method throughout: establish what the evidence shows, then turn it into something practical, from research findings and dashboards to SaaS tools and digital products.
Organization names are shown for project context only and do not imply endorsement or affiliation beyond the work described.
Contributed data & statistical analysis to project work
Contributed data & research analysis
Territory Executive (Merchant Development)
Marketing Research Intern
Practice
Research, analysis and building aren't separate careers here. They're stages of the same problem-solving process, applied to different problems.
DataModelInsight
Rigorous analysis, readable conclusions.
Statistical analysis, quantitative research and research modeling, carried through to interpretation that non-specialists can act on.
Tools: SPSS · SmartPLS 4 · Python · Power BI
IdeaPrototypeProduct
Turning validated ideas into working software.
AI-assisted product development: designing, building and iterating on SaaS products, websites and workflow tools with Claude Code and modern web frameworks.
Tools: Claude Code · AI coding agents · Modern web frameworks
AudienceOfferLaunch
Turning audience problems into structured products.
Products built from research rather than guesswork: the problem is identified and validated before anything is written, designed or launched.
Tools: ChatGPT · Claude · Design & marketing tools
Selected work
Statistical research, research modeling and business intelligence, followed by research carried out in organizational settings. Each project opens into a full case study.
SPSS, SmartPLS 4, Python and Power BI.
01SmartPLS 4 · PLS-SEM
A seven-construct structural equation model tracing how ecosystem support, access to finance and innovation capability connect to sustainable women entrepreneurial success.
SmartPLS 4 · PLS-SEM · Bootstrapping
02SPSS · Regression analysis
A quantitative survey of online shoppers in Pakistan, testing which psychological factors shape buying behavior through reliability checks and multiple regression.
03Python · Research support
Python statistical analysis for a study of 250 marketers: which factors drive AI adoption, and whether perception carries awareness into adoption.
04Power BI · Business intelligence
A multi-page Power BI report on a sample retail dataset: star-schema model, store and district views, variance analysis and drill-through.
Organization names are shown for project context only and do not imply endorsement or affiliation beyond the work described.
FBI
Contributed data & statistical analysis to project work
SPSS · Statistical review
A three-stage statistical review of grouped observational data, comparing groups, periods and categories to flag unusual patterns for further review.
Bangladesh Navy
Contributed data & research analysis
SPSS · Survey research
A survey of 108 personnel on cybersecurity training readiness, preferences and awareness, with correlation and regression analysis.
bKash Limited
MBA internship research
SmartPLS 4 · PLS-SEM
A PLS-SEM study of 400 semi-urban merchants on why they keep using a mobile financial service app when alternatives exist.
Shajgoj
Marketing Research Intern
SPSS · Excel · Customer experience research
A survey of 226 customers comparing seven e-commerce platforms across six experience dimensions, with correlation, regression and a weighted platform comparison.
Expertise
Breadth is only useful when it follows one method. Seven capabilities, grouped by the stage of work they serve.
Stage 01
Understand the audience and the question.
Understanding customers, markets and behavior before recommending or building anything.
Customer insight · Market research · Pain-point discovery · Opportunity validation
Stage 02
Establish what the evidence supports.
Selecting the right test for the question, running it correctly and explaining what the result does and does not show.
Descriptive statistics · Reliability · Correlation · Regression · ANOVA · t-tests · Chi-square
Specifying and evaluating measurement and structural models, from reliability and validity to hypothesized paths.
PLS-SEM · SmartPLS 4 · Bootstrapping · Hypothesis evaluation
Preparing raw data, exploring it carefully and presenting it so the pattern is clear.
Data cleaning · Exploratory analysis · Python · Pandas · Visualization
Reporting designed around management questions rather than around every available number.
KPI design · Dashboard architecture · Executive reporting · Data storytelling
Stage 03
Turn the insight into something usable.
Building websites and SaaS products with Claude Code and AI coding agents, guided by product judgment and short iteration cycles.
Claude Code · Prototyping · SaaS architecture · Web development · Iteration
Taking a product from a validated audience problem to a structured, packaged and positioned offer.
Product architecture · AI-assisted content · Packaging · Positioning · Launch assets
Ventures
Product work where research leads to something people can use: an AI-powered SaaS product, a digital product suite, and the website you're reading.
V1AI · SaaS · Product initiative
An AI-powered SaaS product initiative for commercial construction, focused on subcontractor compliance and the document workflows around it.
Product demo · sample workspace
01
Compliance dashboard
02
Document intake
03
AI extraction
04
Human review
05
Project rules
06
Activity log
V2Digital product · Guided reflection
A five-minute guided reflection system built on Notice → Name → Nudge, designed around four common stress patterns and packaged as a complete product suite.
Available on Gumroad
V3Web / AI building
AI-assisted web development · Product design
A custom multidisciplinary portfolio bringing together banking, analytics, research, SaaS, digital products, publications and professional experience in one system. Designed and built with AI-assisted development.
Next.js · TypeScript · Tailwind CSS · Claude Code
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Journey
Banking, merchant development, freelance analytics and marketing research, often running in parallel rather than one after another.
Management Trainee Officer (MTO)
EmploymentApr 2026 – Present
Credit appraisal, financial analysis, loan documentation, branch operations, MIS and reporting, AML/KYC, process efficiency and Excel-based analysis.
Focus: Retail banking · Credit · Operations · Compliance
Employment
Apr 2026 – Present
Territory Executive (Merchant Development)
EmploymentJan 2026 – Mar 2026
Field execution, merchant relationships, KPI-driven territory management and payment adoption.
Focus: Merchant development · Acquisition · Activation · Portfolio growth
Employment
Jan 2026 – Mar 2026
Data Scientist
FreelanceFeb 2023 – Dec 2025
270 completed orders with 5-star ratings. Also freelancing through Upwork.
Focus: Statistical analysis · Quantitative research · International projects · SPSS
Freelance
Feb 2023 – Dec 2025
Marketing Research Intern
InternshipOct 2024 – Dec 2024
Focus: E-commerce customer experience · Pricing · UI/UX · Delivery · Trust · Service · Return & refund
Related case study:E-commerce Customer Experience ResearchInternship
Oct 2024 – Dec 2024
MBA (Marketing)2024
University of Dhaka
CGPA 3.63
BBA (Marketing)2020–2023
University of Dhaka
CGPA 3.56 · Merit position 19 · Scholarship
HSC2017–2019
Notre Dame College
GPA 5.00 · General scholarship
SSC2015–2017
Ideal School and College
GPA 5.00 · General scholarship
Publications
Daily Sun
Jugantor
About
My work began in marketing and research. I studied marketing at the University of Dhaka, and a marketing research internship at Shajgoj turned that into applied work: how customers compare e-commerce platforms, and what actually drives their satisfaction.
Freelance work on Fiverr & Upwork added statistical analysis and quantitative research for international projects. Commercial experience followed in merchant development at bKash Limited, and today I work in banking as a Management Trainee Officer at NRBC Bank PLC.
AI-assisted development extended the same method from analyzing problems to building for them: SaaS products, websites and research-driven digital products. The tools changed. The method did not.
Understand the problem.
Analyze the evidence.
Find the opportunity.
Build something useful.
08Contact
Statistical and research projects, SaaS or website collaborations, digital products, or a professional opportunity. If it starts with a real question, I'd like to hear it.
