HAIDER.KHAN

Data Analyst & Software Engineer, Riyadh

Raw data in.
Shipped product out.

I turn messy operational data into software people actually use. I’ve shipped AuditLeads — a live B2B SaaS with paying customers — digitized inspection workflows that cut reporting time 70%, and delivered 100+ analytics and ML projects since 2018.

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Haider Khan

How a project moves through my hands

01 · RAW300+records/mo ingested & validated
02 · CLEAN90%manual errors removed
03 · MODEL85%predictive model accuracy
04 · SHIP70%faster reporting once live
01

Ledger

The numbers behind five years of analytics and engineering work.

01Replaced manual spreadsheet reporting with automated ETL workflows at Tamimi−70% time
02Structured data intake pipelines with validation checks−90% errors
03End-to-end analytics & ML projects delivered for clients worldwide (Fiverr, since 2018)100+ projects
04Predictive models shipped for regression & classification tasksup to 85%
05KPI dashboards & cross-site trend reporting for management+35% speed
02

Experience

Three roles, one pattern: find the messy manual process, build the pipeline that replaces it.

Data Analyst / Software Engineer— Tamimi Global Co. (TAFGA)Oct 2024 – Present
DataSoftware
  • Built a Next.js + Tailwind inspection platform that digitized manual workflows — 70% faster reporting, 90% fewer manual errors.
  • Engineered ETL pipelines into Google Drive/Sheets, processing 300+ inspection records a month with automated metadata logging.
  • Shipped KPI dashboards and cross-site trend reports that sped up management decisions by 35%.
  • Built JWT-based role access so reporting data stays compliant and audit-ready.
Software Engineer— Horizon TechJul 2022 – Jul 2024
Software
  • Led React interface work across 10+ applications, lifting user satisfaction 30%.
  • Kept production at 99.9% uptime while cutting bug reports 25%.
  • Translated cross-functional requirements into UI/UX, improving delivery time 20%.
Data Analyst / Data Scientist— Fiverr (Freelance)2018 – Present
Data
  • Completed 100+ analytics and ML projects: prediction, classification, recommendation systems.
  • Built forecasting and ML models reaching up to 85% accuracy for clients across industries.
  • Delivered dashboards that improved client decision efficiency by 60%.
03

Projects

Two tracks, one pipeline — data work that ends in a model, and software work that ends in something shipped.

Filter projects by track

AuditLeads

Live SaaS

Full-stack B2B SaaS for local-business prospecting — scrapes leads and scores each one's website weaknesses into an actionable Opportunity Score.

Read case study →

Automated Inspection ETL

−70% time

Raw inspection images → structured metadata → live KPI dashboards, replacing a manual spreadsheet process.

Read case study →

Car Price Prediction

85% acc.

Regression model with feature engineering to price used cars from listing data.

Recommendation System

+25% engage

Collaborative + content-based filtering for personalized recommendations.

Intrusion Detection Dashboard

−40% response

React dashboard with real-time alerts and live network security data.

Also built

Child Labor Risk Model

80% acc.

Classification model flagging risk using socio-economic indicators.

Heart Stroke Prediction

Classification

Classification model predicting stroke risk from patient health data. Python, RapidMiner.

Credit Card Fraud Detection

Classification

Classification model flagging fraudulent transactions from transaction data. Python, RapidMiner.

Loan Acceptance Model

Decision tree

Decision tree model predicting loan approval outcomes from applicant data. Python, RapidMiner.

Tax Evasion Prediction

Classification

Classification model identifying likely tax evasion patterns from financial indicators. Python, RapidMiner.

Music & Mental Health Analysis

Correlation analysis

Correlation analysis exploring the relationship between music listening habits and self-reported mental health, using the MxMH dataset. Python, exploratory data analysis.

Nutritional Value Calculator

Image → calories

Full-stack app estimating calories and nutrition from a photo of food: Python/ML backend for image-based estimation, web frontend for the user-facing app.

Central Policy Management

+30% workflow

React front end with reusable components and RESTful API integration.

NAT Clone Packet Catcher

−25% manual

Real-time network traffic visualization front end for packet monitoring.

Tamimi Corporate Website

Bilingual site

Bilingual corporate website built for Tamimi Global (TAFGA) using React and i18next, improving mobile responsiveness and SEO.

04

Skills

Grouped the way I actually use them, not just listed.

Data & Analytics

Python (Pandas, NumPy, scikit-learn)SQL (window fns, CTEs)RPower BIETL AutomationRapidMinerKNIMEForecastingFeature Engineering

Software & Web

React.jsNext.jsTailwind CSSNode.jsREST APIsJWT Authi18nextGitDocker
05

Résumé

Two versions of the same five years, depending on which half of the pipeline you’re hiring for.

Data Analyst

Read

Python, SQL, Power BI, ETL automation and predictive modelling — framed around analytics and reporting outcomes.

Software Engineer

Read

Next.js, React, Node and the full path from pipeline to interface — framed around shipped product work.