during a multi-site programme I analysed and supported
LONDON · OPEN TO DATA ANALYST ROLES
PORTFOLIO / BUSINESS INTELLIGENCE / 2026
I find the signal
inside the noise.
I'm Kalesha Syed. I use SQL, Power BI, Python and automation to turn customer and operational data into decisions people can act on.
60-SECOND BRIEF
≈3 YEARSANALYTICS EXPERIENCE
3 SECTORSEDTECH · RETAIL · ENTERPRISE
MScCOMPUTATIONAL SCIENCE
SUBJECT / KS-01VERIFIED PROFILE
Kalesha SyedDATA ANALYST · LONDON
KALESHA SYED / VOICE NOTEPLAY ABOUT ME
0:000:34
EXPERIENCE≈ 3 YEARS01
OPERATIONAL SCALE75+ LOCATIONS02
REPORTING−40% MANUAL EFFORT03
ORDER QUALITY−88% REJECTIONS04
ENTER THE EVIDENCE ↓
SQL ANALYSIS✦POWER BI✦PYTHON✦COMMERCIAL THINKING✦AI AUTOMATION✦SQL ANALYSIS✦POWER BI✦PYTHON✦COMMERCIAL THINKING✦AI AUTOMATION✦
01 / THE PROOF
Not a list of tools.
A record of outcomes.
I start with the business question, test the data, and finish with a decision that stakeholders can understand.
during the same operational improvement programme
revenue, alongside +20% average order value
manual effort through a repeatable weekly workflow
02 / SELECTED WORK
Three business problems.
Three analytical systems.
Select a case study to see how I connect the question, the analysis and the business evidence.
CASE 01 / MULTI-SITE OPERATIONS
Finding revenue signals across 75+ locations.
THE QUESTION
Where were availability, rejected orders and menu performance limiting delivery growth?
THE ANALYSIS
Connected store, product, platform and hourly data from Deliveroo, Uber Eats and Just Eat—then translated the patterns for Operations and Digital Sales.
SQLPower BIExcelDelivery data
97AVAILABILITY
75+ STORES
3 PLATFORMS
ORDERS / AOV / LABOUR / AVAILABILITY
97%store availability
−88%rejected orders
+14%delivery revenue
+20%average order value
Business figures describe the programme periods I analysed or supported and are not presented as solely attributable to my work.
03 / CAREER JOURNEY
Built across
different worlds.
Education technology. Multi-site food operations. Enterprise services. The context changes; the analytical discipline does not.
AUG 2025 — JUL 202601
PRODUCT / ENGAGEMENT
Coralis AI
Data Analyst · Education Technology
Translated learning behaviour into product and classroom signals.SQL analysis across lesson progress, assessments, attendance and user activity; Power BI KPI dashboards; Python data preparation and validation.
NOV 2024 — AUG 202502
OPERATIONS / REVENUE
Chopstix Group
Data Analyst · Multi-site Operations
Connected sales, labour and delivery data across 75+ locations.Compared stores, products, platforms and hourly periods, then communicated clear recommendations to Operations and Digital Sales.
AUG 2022 — AUG 202303
CUSTOMER / AUTOMATION
Atos
Data Analyst · Enterprise Services
Made customer reporting more reliable, repeatable and useful.Built Power BI and Tableau dashboards, analysed churn and customer segments with SQL, and reduced recurring manual reporting effort.
04 / CAPABILITY SYSTEM
Technical depth.
Commercial clarity.
CERTIFIEDGOOGLE
DATA ANALYTICS✓
DATA ANALYTICS✓
SQL
Analysis, joins, validation
↗Power BI
Models, KPIs, dashboards
↗Python
Cleaning, transformation, insight
↗Excel
Operational analysis, reporting
↗Tableau
Executive visualisation
↗Generative AI
Copilot Studio, agents, prompts
↗ADVANCED TRAININGGenerative AI Mastermind
Copilot Studio · Power Automate · Power Apps · prompt engineering · AI agents
EDUCATION / 2025MSc Computational Science
London South Bank University
EDUCATION / 2022BTech Data Science
Presidency University, Bangalore
05 / CONTACT
Bring me the
difficult question.
I'm looking for a Data Analyst role where rigorous analysis, business understanding and responsible automation create measurable results.