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Data · Research · Products

Jisan Nuren Siam — I turn data, research & ideas into decisions and digital 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.

Selected areas
  • SPSS
  • SmartPLS 4
  • Python
  • AI
  • SaaS

Selected organizations I've supported, worked with, or contributed analysis to

Organization names are shown for project context only and do not imply endorsement or affiliation beyond the work described.

01

Practice

One process, three kinds of output.

Research, analysis and building aren't separate careers here. They're stages of the same problem-solving process, applied to different problems.

  1. 01Research
  2. 02Analyze
  3. 03Understand
  4. 04Build

DataModelInsight

Data Science & Analytics

Rigorous analysis, readable conclusions.

Statistical analysis, quantitative research and research modeling, carried through to interpretation that non-specialists can act on.

  • Statistical analysis
  • Quantitative research
  • Research modeling
  • Data exploration
  • Visualization
  • Interpretation

Tools: SPSS · SmartPLS 4 · Python · Power BI

IdeaPrototypeProduct

AI, SaaS & Web

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.

  • AI-assisted development
  • SaaS building
  • Web development
  • Prototyping
  • Workflow design
  • Product implementation

Tools: Claude Code · AI coding agents · Modern web frameworks

AudienceOfferLaunch

Digital Products

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.

  • Audience research
  • Pain-point discovery
  • Opportunity validation
  • Product architecture
  • AI-assisted creation
  • Packaging
  • Positioning
  • Launch

Tools: ChatGPT · Claude · Design & marketing tools

02

Selected work

Analysis that holds up, presented so it can be used.

Statistical research, research modeling and business intelligence, followed by research carried out in organizational settings. Each project opens into a full case study.

Data Science & Analytics

SPSS, SmartPLS 4, Python and Power BI.

Overview graphic of the research model: seven constructs with their indicators, path coefficients and R² values, from religious tourism growth and social capital through to sustainable women entrepreneurial success.
Structural model diagram showing direct path coefficients and p-values between constructs; the self-efficacy to innovation capability path is drawn as non-significant.
Fig. 01 — Project overview · Structural model

01SmartPLS 4 · PLS-SEM

Sustainable Women Entrepreneurial Success

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

Type
Professional work
Status
Completed analysis
Overview graphic: 196 respondents, 30 measurement items, a 7-point Likert scale, six constructs and five hypotheses, with a conceptual model linking five factors to consumer buying behavior.

02SPSS · Regression analysis

Online Shopping Behavior Analysis

A quantitative survey of online shoppers in Pakistan, testing which psychological factors shape buying behavior through reliability checks and multiple regression.

Type
Professional work
Status
Completed analysis
Overview graphic: 250 responses from marketers, a Python workflow, regression and mediation analysis, and a conceptual model with four perception mediators and four external and internal factors leading to AI adoption.

03Python · Research support

AI Adoption in Marketing

Python statistical analysis for a study of 250 marketers: which factors drive AI adoption, and whether perception carries awareness into adoption.

Type
Professional work
Status
Completed analysis
Overview graphic of the Power BI case study: the five-table model, the eight report pages and a store sales overview page with a channel donut, monthly variance bars, a store map and a variance scatter plot.

04Power BI · Business intelligence

Retail Sales Analysis

A multi-page Power BI report on a sample retail dataset: star-schema model, store and district views, variance analysis and drill-through.

Type
Self-directed portfolio project
Status
Completed · sample dataset

Organization & research projects

Organization names are shown for project context only and do not imply endorsement or affiliation beyond the work described.

  • Overview of a redacted three-stage anomaly analysis: group consistency review, cross-period comparison and temporal pattern analysis, each with its methods and outcome, plus the statistical methods used.

    FBI

    Contributed data & statistical analysis to project work

    SPSS · Statistical review

    Confidential Statistical Anomaly Analysis

    A three-stage statistical review of grouped observational data, comparing groups, periods and categories to flag unusual patterns for further review.

  • Overview of the cybersecurity training and awareness study: 108 respondents, SPSS 29, frequency, descriptive, correlation and regression analysis, and three headline survey results.

    Bangladesh Navy

    Contributed data & research analysis

    SPSS · Survey research

    Cybersecurity Awareness & Training Research

    A survey of 108 personnel on cybersecurity training readiness, preferences and awareness, with correlation and regression analysis.

  • Overview of the merchant continuance study: 400 merchants, cluster sampling, SmartPLS 4 and PLS-SEM in a semi-urban context, with a research model linking perceived value, trust, switching cost, habit and satisfaction to continuance intention.

    bKash Limited

    MBA internship research

    SmartPLS 4 · PLS-SEM

    Merchant Continuance Research

    A PLS-SEM study of 400 semi-urban merchants on why they keep using a mobile financial service app when alternatives exist.

  • Overview of the e-commerce customer satisfaction study: 226 respondents, SPSS 29.0.1, Excel 365 and seven platforms, with six experience dimensions linked to overall satisfaction.

    Shajgoj

    Marketing Research Intern

    SPSS · Excel · Customer experience research

    E-commerce 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.

Also buildingGCReq365 & Reset RitualSee ventures
03

Client feedback

What clients say.

Selected five-star feedback from clients on statistical analysis and data projects, shared in their own words.

  • Jisan delivered exactly what I wanted, went above and beyond to make sure I was happy with the results, and did it all so quickly. Will definitely use him again for statistical analysis!

    EllieAustralia
  • The best analyst I've ever worked with - he consistently delivers flawless results, even under tight deadlines His attention to detail is unmatched, and he has an incredible ability to break down complex problems and provide clear, actionable insights. Whether it's a high-pressure project or routine analysis, he always exceeds expectations.

    ZonairaCanada
  • Jisan was a pleasure to work with, his efficiency, accuracy, and speed were second to none. He took care of every detail, and all in record time. I can only recommend working with him. Thank you very much!

    SimonSwitzerland
  • Jisan did an exceptional job on my data analytics project, showing incredible professionalism and attention to detail. He exceeded all my expectations with proactive communication and fluent language skills, making collaboration a breeze. HIGHLY RECOMMEND working with him!

    AndreaSingapore
  • Working with Jisan on our data analytics project was an outstanding experience. His attention to detail and professionalism ensured we pinpointed the issues accurately. With his deep understanding and quick responsiveness, Jisan's results were mathematically reliable and statistically valid. We were so impressed, we rehired him to analyze several more projects. VERY pleased with Jisan's work!

    KevinUS
  • Excellent collaboration, very positive attitude towards work, fast delivery, and I am very happy with the results. He understood what I needed for my project and even suggested the necessary tests to achieve the required analysis. His dedication to the project was outstanding, and the final report was precisely what I needed. I highly recommend him for any statistical analysis you might need.

    NikQatar
View more client feedback(15)
  • What should I say.. Best Man in town... done in 1 hour.. Grounded humble person and always there to help out... Work Quality : ZERO Doubt, 100% QUALITY WORK !!! Nice man not only on professional but as human being too Kind Man god bless you

    ThalaUS
  • Jisan was fantastic to work with! He was very knowledgeable and his responses were prompt. We had one Zoom meeting so that he could understand my project and he began work soon after. His work was delivered to me ahead of schedule and was professional and went beyond my expectations! Very pleased with this transaction!

    NikkiEstonia
  • I had a fantastic experience working with Jisan! He helped me with statistical analysis for my project and went above and beyond. Despite a few mistakes in the data I provided, he was incredibly patient and guided me through fixing them. His responses were quick, and he delivered the final work in just one day! Super professional, polite, and genuinely helpful. Highly recommend working with him if you need fast and accurate results. Thank you, Jisan!

    Arslan HaiderIndia
  • I am beyond impressed with the quality of work delivered! The project was completed accurately, on time, and with meticulous attention to detail. His commitment to ensuring everything was done exactly as required really stood out. Not only did he meet the expectations, but he went above and beyond in delivering exceptional results.

    AparnaFrance
  • It was great working with Jisan, he is very responsive and polite. Understood the work required and helped me improve my work, delivered quality work ahead of the delivery time.

    AlohailIreland
  • Jisan is an absolute marvel! His professionalism and remarkable efficiency have not only impressed but truly astounded me. In completing the task with unparalleled precision and astonishing speed, he haas showcased a level of expertise that is truly commendable. Jisan's commitment to excellence is nothing short of inspiring, and his swift delivery coupled with an unwavering dedication to quality sets a new standard for professionalism. Thank you Jisan for your exceptional work!

    AdeleUK
  • He was exceptional! Very fast in responses and going extra mile!

    MonikaMacedonia
  • He was faster than we agreed, and the results are satisfactory. He was really interested in welcoming all of my demands, which was great.

    Fabio SandesBrazil
  • Great service, exactly as what I asked for delivered in a timely manner and ever faster than I thought. Highly recommend working with him.

    MarwaSaudi Arabia
  • Communication with Jisan was very pleasant, and he delivered exactly what I wanted. He always responded quickly. Jisan was a great help to me. He was very friendly.

    AnnikaGermany
  • Jisan is all you need. 10/10 communication 10/10 skills 10/10 friendliness 10/10 would-hire again

    TacoseveSlovakia
  • Jisan is amazing, very understanding and helpful. He was quick and took the time to understand my issues in order to help me in the best way possible. The data even though messy, was analyzed and reported successfully. Thank you very much once again, definitely recommend. Wish you the best!

    Tia SimonItaly
  • The service provided were exceptional. Delivery was on time, went above and beyond, and communication was excellent. I would hire again.

    AllisonJamaica
  • Thank you, Jisan. Not only he did deliver results ahead of schedule, but the quality of his work was exceptional. Communication was smooth, and he went above and beyond to help with recommendations. Highly recommend for anyone seeking efficient and high-quality statistical analysis services.

    SuzyAustria
  • Great person to work with and easily understood the instructions provided and worked within the requested parameters. Great work! and I highly recommend Jisan to everyone!

    EspenNorway
04

Expertise

Capabilities, organized by the problem they solve.

Breadth is only useful when it follows one method. Seven capabilities, grouped by the stage of work they serve.

Stage 01

Research

Understand the audience and the question.

  • 01

    Market & Audience Research

    Understanding customers, markets and behavior before recommending or building anything.

    Customer insight · Market research · Pain-point discovery · Opportunity validation

Stage 02

Analyze

Establish what the evidence supports.

  • 02

    Statistical & Quantitative Analysis

    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

  • 03

    Research Modeling

    Specifying and evaluating measurement and structural models, from reliability and validity to hypothesized paths.

    PLS-SEM · SmartPLS 4 · Bootstrapping · Hypothesis evaluation

  • 04

    Data Analysis & Visualization

    Preparing raw data, exploring it carefully and presenting it so the pattern is clear.

    Data cleaning · Exploratory analysis · Python · Pandas · Visualization

  • 05

    Business Intelligence

    Reporting designed around management questions rather than around every available number.

    KPI design · Dashboard architecture · Executive reporting · Data storytelling

Stage 03

Build

Turn the insight into something usable.

  • 06

    AI-Assisted Product Development

    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

  • 07

    Digital Product Development

    Taking a product from a validated audience problem to a structured, packaged and positioned offer.

    Product architecture · AI-assisted content · Packaging · Positioning · Launch assets

Working toolkit

  • SPSS
  • SmartPLS 4
  • Python
  • R / RStudio
  • Power BI
  • Excel
  • ChatGPT
  • Claude / Claude Code
05

Certifications

Professional certifications.

Selected certifications across marketing, strategy, leadership, research and analytical tools.

  1. 01

    Digital Marketing

    University of Illinois

  2. 02

    Brand and Product Management

    IE Business School

  3. 03

    Business Strategy

    University of Illinois

  4. 04

    Market Research & Consumer Behavior

    IE Business School

  5. 05

    Team Leadership

    University of Illinois

  6. 06

    MS Excel

    Macquarie University

06

Ventures

Building beyond analysis.

Product work where research leads to something people can use: an AI-assisted SaaS product, a digital product suite, and the website you're reading.

V1AI · SaaS · Product initiative

GCReq365

An AI-assisted SaaS product for commercial construction teams managing subcontractor compliance documents, project requirements, expirations and review workflows.

Fig. V1 — Product demo · sample workspace

Inside the product

  1. 01

    Document intake

  2. 02

    Information extraction

  3. 03

    Requirement checking

  4. 04

    Human review

  5. 05

    Expiration follow-up

  6. 06

    Activity & audit trail

V2Digital product · Guided reflection

Reset Ritual

A five-minute guided reflection system built on Notice → Name → Nudge, designed around four common stress patterns and packaged as a complete product suite.

Product suite

  1. 01Complete Guide
  2. 0230-Day Journal / Tracker
  3. 03Pattern Reference Card
  4. 04Drain List + Boundary Scripts
  5. 05Ritual Anchor Worksheet
The Reset Ritual digital product suite on a warm stone surface: The Complete Guide, the 30-Day Journal, and reference cards for the four patterns, the drain list and boundary scripts.
Fig. V2 — Product suite

V3Web / AI building

Jisan Nuren Siam — Personal Portfolio

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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07

Journey

Where the experience comes from.

Banking, merchant development, freelance analytics and marketing research, often running in parallel rather than one after another.

  1. 01

    NRBC Bank PLC

    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

  2. 02

    bKash Limited

    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

  3. 03

    Fiverr

    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

  4. 04

    Shajgoj

    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 Research

Education

  • 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

09

Beyond work

Leadership & activities.

Leadership, event, project and volunteer roles across clubs, department initiatives and community activities.

  1. Jun 2025 – Present

    Founder & President

    Marketing Chess Club

  2. Jan 2020 – Jan 2026

    Organizer — Yearly Picnic & Tour

    Marketing Department

    3 picnics and 5 tours arranged

  3. Apr 2025 – Jul 2025

    Head of PR & Event Anchor

    Emergency Drill Campaign

  4. Jun 2025

    Head of Volunteer — Food Packaging & Distribution

    Book Opening Ceremony

  5. Jan 2020 – Apr 2025

    Joint Secretary

    Dhaka University Chess Club

  6. Oct 2024 – Dec 2024

    Head of Event Management

    Golden Jubilee of Marketing Department

  7. Sep 2024

    Head of Volunteers — 26th Batch

    Aiding Flood Affected People

  8. Sep 2020 – Sep 2024

    Chief Operating Officer

    Basket of Arts

  9. Jan 2024 – Jul 2024

    Head of Product Planning & Development

    Green Compost Project

Portrait of Jisan Nuren Siam in a charcoal suit and dark shirt against a dark background.
10

About

An analyst's process, applied to building.

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.

How I work

  1. 01

    Understand the problem.

  2. 02

    Analyze the evidence.

  3. 03

    Find the opportunity.

  4. 04

    Build something useful.

11Contact

Have a problem worth solving?

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.

  • 01Data & statistical analysis
  • 02Research collaboration
  • 03AI / SaaS collaboration
  • 04Website project
  • 05Digital-product collaboration
  • 06Professional opportunity