Business Operations
Day-to-day operations planned, coordinated, and tracked, so execution doesn't depend on the founder chasing it.
Mehrab Mashrafi
Business Operations & Program Manager
I help founders, CEOs, and growing teams turn leadership priorities into structured execution: clear owners, tracked delivery, documented processes, and automation where it pays off.
Projects need constant follow-up. Ownership is unclear. Processes are undocumented. Teams are busy, but leadership still has to chase updates to understand what is actually happening.
My job is to make the "after" column your normal week, so leadership can lead instead of chase.
Most project managers see the task board. My career has given me the view from every side of it: the data, the user, the report, the program, and the business.
Nexgen Electronics Ltd. · part-time, while completing a BSc in Business IT (First Class Honours)
Every business decision rests on data that someone has to keep clean and structured.
SHAREit Group · alongside an MSc in Applied Statistics & Data Science, Jahangirnagar University
Processes and products only work if they work for the people who use them.
Invento Software Limited · ETL, Power BI dashboards and management reporting
A report is only useful if leadership can act on it.
Perceive Now Inc. · enterprise AI, investor diligence, and market research programs
Delivery succeeds on clear owners, a steady cadence, and honest communication, not heroics.
AIBYTERS · while completing an MBA in Management, University of Barishal
Now I run programs end-to-end, from a founder's idea to an audited, working system.
Pick one, or combine them. Most engagements start with the problem that hurts most right now.
Day-to-day operations planned, coordinated, and tracked, so execution doesn't depend on the founder chasing it.
Cross-functional initiatives delivered with clear milestones, owners, risks, and status.
Strategic initiatives taken off your plate, with a clear view of priorities, decisions, and follow-ups.
How work actually happens gets mapped, bottlenecks removed, and the result documented as SOPs your team follows.
Business needs turned into requirements, user stories, and acceptance criteria that technical teams can build from.
Your team's tools set up so tasks, documentation, and status live in one reliable place.
The KPIs that matter, turned into dashboards and management reports you can make decisions from.
The repetitive work worth automating, found, then AI-assisted workflows your team actually uses, planned and shipped.
Each step builds on the one before it. Nothing gets automated until it's understood, structured, and owned.
The business objective and how work flows today.
Clear projects, milestones, and deliverables.
Named owners, with no gaps and no overlaps.
Cadences that surface issues early.
KPIs and updates nobody has to chase.
Simplify, standardize, and document as SOPs.
AI and automation where they remove real effort.
Three founder-led programs at AIBYTERS. I scoped them, wrote the requirements, managed delivery, and hardened them through QA and audits.
Featured case study · Financial services SaaS
Sales operations · Automation
Prospect research was slow and inconsistent. I redesigned it as a standard pipeline (search, enrich, validate, score) that hands sales a prioritized list.
Management reporting · Standards
Every dashboard redrew the same charts differently. I built a single reusable library, from KPI cards to SWOT and risk matrices, on one shared data spec.
Analytics, data engineering, and machine learning projects. They're why I can talk to data teams in their own language and challenge a number before it reaches leadership.
Can a program manager trust the data behind "is this program working?" 12,246 field records, 58 automated data checks per run, and a live KPI dashboard.
Shops with a formalized pricing system charge about $67/hour more than those pricing on gut feel. The fix is process, not calculators.
Across 490,398 sessions, the biggest leak wasn't checkout: only 8.45% of product-page visits added to cart. A propensity model (98.46% ROC AUC) turned that into a UX review queue.
Scraped and normalized property listings, geocoded every property, and delivered interactive Tableau dashboards on the market and agent performance.
An image model that identifies mammal species of the Indian subcontinent to support conservation work.
Collected images of birds across all 42 orders of the Aves class and trained a ResNet101 transfer-learning classifier.
A multi-label transformer model that predicts story genres from fan-fiction descriptions, deployed as a web app.
Tick the ones that sound familiar. If it's three or more, we should talk.
Every credential here earns its place by what it lets me do for your team.

Mental Health Volunteer & Moderator Team Lead
At Dear Camelia (2021 – 2023) I supported people reaching out in distress, and later led the moderator team. That work built two skills I use every day in operations: empathy and active listening, hearing what's actually being said rather than what I expect to hear.
In practice, that's how I find the real blocker behind a "we're on track" update, keep difficult stakeholder conversations calm, and earn the trust that makes teams flag problems early instead of late.
Client-facing English for documentation, reporting, and workshops, and comfortable working across South Asian and European teams.
DeliveryAgile · requirements · risk & dependency management · QA · acceptance criteria
Enterprise AIAI workflow design · human review · model evaluation · product testing · governance
AnalyticsPython · SQL · R · T-SQL · MySQL · MongoDB · Azure SQL · web scraping
ReportingPower BI · Tableau · Excel · market & investment research
WorkflowClickUp · Jira · Confluence · Notion · Trello
Structured delivery
Data & systems depth
No long proposal to start. Here's how it works: