Data Analyst & BI Developer · London

Saurabh
Singh

3+ years turning messy data into decisions people trust

MSc AI graduate, currently a Data Quality Analyst at Social Value Portal. I find the reporting problems nobody else noticed, work with the teams affected, and fix them properly — from root cause through to a cleaner number on a dashboard.

MSc AI graduate. Data Quality Analyst at Social Value Portal, working across Salesforce, Power BI and Excel. My day-to-day: structured validation checks, root-cause investigation of reporting inconsistencies, and automating manual review cycles with Python, Power Automate, N8N and VBA.

Power BIDAXSQL PythonSalesforceETL TableauNLPPower Automate
 analyst.profile.json
// Saurabh Ramakant Singh
{
  "name": "Saurabh Singh",
  "location": "London, UK",
  "status": "open_to_work",
  "experience_yrs": 3,
  "current_role": {
    "title": "Data Quality Analyst",
    "org": "Social Value Portal"
  },
  "right_to_work_uk": true,
  "education": "MSc AI · Huddersfield",
  "core_tools": ["PowerBI", "SQL", "Python"]
}

At a glance

Data Quality Analyst at Social Value Portal — current role, London
3+ years across public sector, FMCG and retail
MSc Artificial Intelligence, University of Huddersfield (2024)
Works daily with sales, delivery, QA and customer support teams
Right to work in the UK · based in London

Outcome-led view — impact, collaboration and problem-solving.

Process-led view — sources, methods, tooling and validation logic.

Years experience
3+
↑ public sector, FMCG, retail
Data quality uplift
30%
↑ automated validation checks
Retention tracking
20%
↑ efficiency improvement
Learners mentored
15+
↑ 3 placed in data roles
01

About me

I'm a Data Quality Analyst at Social Value Portal, working across Salesforce, Power BI and Excel to make sure the data stakeholders depend on is actually reliable. I identify reporting issues and data inconsistencies, dig into root causes, and work with sales, delivery, QA and customer support teams to get things fixed — not just flagged.

Before that I spent over a year in FMCG and retail at TECHROLE Solutions in India — 50k-row datasets, Tableau dashboards, ETL automation and direct client stakeholder management across tight deadlines. That's where I developed the habit of asking "why does this number look wrong?" before just cleaning the row.

I have an MSc in Artificial Intelligence from the University of Huddersfield (2024). My dissertation built a drug recommendation system using transformer models and sentiment analysis of real patient reviews — which taught me a lot about working with messy, inconsistent, real-world data.

Alongside my day job I run a freelance data analytics programme for career-changers — SQL, Power BI, Python, Excel, built from scratch. Three of my learners have moved into data roles since I started it.

I'm looking for a Data Analyst or BI Developer role where I can work closely with stakeholders on programme assurance, governance and performance reporting. I like problems that need you to understand the business before you touch the data.

Day to day that means: structured validation checks and data reviews across operational sources, root-cause investigation before fixes, GDPR-compliant data handling, and automation of repeat work with Python, Power Automate, N8N and VBA. I'm looking for a Data Analyst or BI Developer role around programme assurance, governance and performance reporting.

📍
Location
London, United Kingdom
Right to work in the UK
🎓
Education
MSc Artificial Intelligence
University of Huddersfield, 2024
💼
Currently
Data Quality Analyst
Social Value Portal · May 2025–Present
🌍
Languages
English (Advanced)
Hindi & Gujarati (Native)
❤️
Interests
Charity · Fitness · Valorant
Animal Matter to Me · Children's Book Project
02

Skills & tools

↳ Click any skill to highlight where it shows up in my experience and projects.

BI & Visualization

Programming & SQL

ETL & Automation

Governance & CRM

AI & Analytics

03

Work experience

May 2025 – Present
London, UK
● current

Data Quality Analyst

Social Value Portal · Full-Time · UK

Source / systemSalesforce, Excel, Power BI
Problem foundRecurring postcode validation failures and reporting inconsistencies
MethodStructured validation checks and data reviews; raised findings in cross-functional discussions with AI adoption, QA and operations teams
OutputHelped design and ship a unified postcode checker tool now used by the whole organisation
ResultRemoved a long-standing source of reporting noise; saves several hours of manual correction per week
ProblemPostcode errors were causing recurring reporting inconsistencies across Salesforce, Excel and Power BI
ActionFound the pattern through structured data reviews, then helped design and ship a unified postcode checker tool
CollaborationAI adoption, QA and operations teams
ImpactThe whole organisation now uses the tool — a long-standing source of reporting noise removed, with several hours of manual correction saved each week
Hiring signalSpots problems others miss, then fixes the root cause — not just the symptom
Source / systemSalesforce, Excel, Power BI
Problem foundGaps in client health and project performance visibility
MethodSpoke directly with sales, delivery and customer support to define real reporting needs; rebuilt reporting as ad hoc outputs tailored to each team
ResultContributed to a 20% improvement in retention tracking efficiency
ProblemTeams lacked clear visibility of client health and project performance
ActionAsked the teams what they actually needed, then rebuilt the reporting around it with tailored Salesforce, Excel and Power BI outputs
CollaborationSales, delivery and customer support
ImpactContributed to a 20% improvement in retention tracking efficiency
Hiring signalStarts with stakeholder needs, not with the tool
Problem foundManual review cycles were a bottleneck in high-volume reporting workflows
MethodAgreed automation scope with the team, then built validation checks and QA frameworks
ToolsPython, Power Automate, N8N, VBA
Result+30% review-cycle data quality; manual effort cut significantly
ProblemManual review cycles were slowing down high-volume reporting
ActionWorked with the team to agree what could be automated, then built the automated validation and QA checks
ImpactReview-cycle data quality up 30%, with a significant cut in manual effort
Hiring signalAutomates the boring parts — with the team's buy-in, not around it
MethodTroubleshot reporting issues by separating data problems from process problems, then routing fixes to the right place
ContextShifting priorities across competing timelines, with sales, delivery, QA and customer support
CollaborationWorked with sales, delivery, QA and customer support to troubleshoot reporting issues — clarifying what was a data problem versus a process problem
ActionManaged shifting priorities across competing timelines and routed fixes to the right owner
Hiring signalComfortable juggling priorities and translating between technical and non-technical teams
MethodImproved dataset accuracy, validation processes and reporting controls across operational data sources
ResultStrengthened GDPR-compliant data handling
ActionTightened dataset accuracy, validation processes and reporting controls across operational data sources
ImpactStronger GDPR-compliant data handling
Hiring signalTreats governance and compliance as part of the job, not an afterthought
+30% data quality +20% retention tracking Python · Power Automate · N8N · VBA Salesforce · Power BI · Excel
Oct 2025 – Present
London, UK

Data Analytics Course Designer & Instructor

Freelance · Self-Employed · UK

OutputHands-on data analytics programme built from scratch, using real-world datasets, KPI case studies and business reporting scenarios
MethodPractical modules covering SQL (CTEs, window functions), Power BI (DAX, data modelling), Python (Pandas, EDA) and Excel — structured to take learners from raw data through to a portfolio-ready project
Result15+ learners taught; three moved into data-related roles
ProblemCareer-changers needed a practical route into data work
ActionDesigned and delivered a hands-on programme for 15+ learners; helped them build dashboards and analysis presentations, then coached them on explaining data problems to non-technical audiences; mentored on portfolios and interviews
ImpactThree learners moved into data-related roles as a result
Hiring signalCan teach data concepts clearly to non-technical people — the same skill stakeholder reporting needs
3 learners placed in data roles 15+ students taught SQL · Power BI · Python · Excel
May 2022 – Aug 2023
India

Associate Data Analyst

TECHROLE Solutions Pvt. Ltd. · Full-Time · India

Source / systemFMCG and retail datasets, 50k+ rows
Problem foundETL workflows were running manually and taking up hours each week
ToolsPython, Power Query, SQL, Databricks
OutputAutomated pipelines replacing the manual workflow
Result−30% manual processing time across 50k+ row datasets
ProblemManual ETL for FMCG and retail clients was eating hours every week
ActionAutomated the pipelines end to end
ImpactManual processing time down 30% across 50k+ row datasets
Hiring signalSees repeated manual work as a problem to engineer away
Problem foundIrregular trends in sales and promotional data
MethodCorrelation analysis, anomaly detection and A/B testing; verified drivers with clients before recommending changes
ResultContributed to a 15% uplift in promotional revenue for a key FMCG client
ProblemSales and promotional numbers were behaving oddly and nobody knew why
ActionInvestigated the patterns, then worked with clients to understand what was driving them before recommending changes
CollaborationDirect work with client stakeholders
ImpactContributed to a 15% uplift in promotional revenue for a key FMCG client
Hiring signalUnderstands the business before touching the data
OutputTableau dashboards for sales, promotions, pricing and supply chain KPIs — built and optimised
MethodDesigned to be readable for non-technical client teams, not just analysts; used to help clients validate assumptions and improve ROI
ActionBuilt Tableau dashboards for sales, promotions, pricing and supply chain KPIs — designed for non-technical client teams
ImpactHelped clients validate assumptions and improve ROI
Hiring signalBuilds reporting for the audience, not for the analyst
MethodManaged changing client priorities through ticketing systems, Slack and direct coordination with internal and external stakeholders
ResultTime-sensitive reporting delivered within tight deadlines
CollaborationInternal teams and external clients, coordinated through ticketing systems and Slack
ActionManaged changing priorities to deliver time-sensitive reporting within tight deadlines
Hiring signalReliable under deadline pressure and shifting requirements
MethodSupported the Data Manager with onboarding and mentoring intern analysts, using clearer guidance and practical reporting examples
Result−30% ramp-up time for new interns
ActionSupported the Data Manager with onboarding and mentoring intern analysts
ImpactRamp-up time reduced by 30% through clearer guidance and practical reporting examples
Hiring signalLifts the people around him, not just his own numbers
−30% processing time +15% promo revenue Tableau · Databricks · Python · SQL
Jan 2022 – Apr 2022
India

Data Analyst Intern

TECHROLE Solutions Pvt. Ltd. · Internship · India

Source / systemCustomer-submitted datasets; CRM and in-house data
MethodCleaned, validated and standardised data with advanced Excel, VBA and SQL; built customised Excel templates per client; integrated CRM and in-house datasets into a unified reporting source using SQL Server, Excel and data warehouse tools
OutputAnalysis-ready data, reusable client templates, a single reporting source, dashboards and weekly insight summaries
ResultBetter consistency on recurring tasks; +40% dashboard adoption
ProblemCustomer-submitted data arrived messy, and reporting was fragmented across systems
ActionCleaned and standardised the data, built per-client Excel templates, and unified CRM and in-house data into one reporting source
CollaborationWorked with cross-functional teams to translate reporting requirements into dashboards and weekly insight summaries
ImpactDashboard adoption improved 40%; less manual effort on repeat reporting
Hiring signalDetail-focused from day one — turns requirements into reporting people actually use
+40% dashboard adoption Excel · VBA · SQL Server
04

Projects

Power BI · Public sector

Safeguarding & Referral Analytics Dashboard

An end-to-end Power BI solution built on messy multi-agency safeguarding referral data, replicating real UK council workflows for resource planning and early-risk identification.

End-to-end Power BI build on messy multi-agency safeguarding referral data: Power Query and DAX used to clean, standardise and model the data, with measures for risk classification, trend analysis, referral-source insights and demographic breakdowns.

DAX
Risk classification measures
Multi
Agency data modelled
Power BIPower QueryDAXData modelling
Data inMessy multi-agency safeguarding referral data
TransformPower Query to clean and standardise; data modelled for analysis
MeasuresDAX measures for risk classification, trend analysis, referral-source insights and demographic breakdowns
OutputEnd-to-end dashboard replicating real UK council workflows
PurposeHelp councils plan resources and identify risk early from safeguarding referrals
RelevanceMirrors real UK council workflows — directly relevant to public sector and programme reporting roles
TakeawayComfortable turning messy multi-agency data into trusted, decision-ready reporting

Power BI · API integration

UK Community Safety & Crime Insights Dashboard

A reusable Power BI dashboard on live data from the Police.uk API — five pages covering executive overview, category analysis, safety priorities, hotspots and outcome recording, reusable for any UK region.

Power BI dashboard pulling live street-level crime data from the Police.uk REST API via a parameterised Power Query function (latitude, longitude, month, area name), with five analysis pages and a swappable area lookup table.

REST
Police.uk API
5
Dashboard views
Power BIPower QueryDAXJSONREST API
Data inStreet-level crime JSON from the Police.uk API
ExtractParameterised Power Query function retrieving data by latitude, longitude, month and area name
PagesExecutive overview · category analysis · safety-priority deep dive · hotspot analysis · outcome recording
ReuseWorks for any UK region by swapping the area lookup table
PurposeGive decision-makers a clear view of community safety, hotspots and outcomes for their area
RelevanceBuilt to be reusable for any UK region — designed for handover, not just demo
TakeawayCan connect live external data sources to executive-ready reporting

Power BI · GraphQL · Live data

Esports Analytics Dashboard

A real-time Power BI analytics dashboard for esports (CS:GO, Dota 2, Valorant), delivering interactive visualisations for historical and live match insights.

Real-time Power BI dashboard on static and live esports data from the GRID.gg GraphQL API: custom M functions for pagination, complex JSON normalised, relationships modelled across tournaments, series, matches, teams and players.

Live
Real-time match feed
3
Game titles
Power BIPower Query (M)GraphQLJSON
Data inStatic and live esports data (CS:GO, Dota 2, Valorant) from the GRID.gg GraphQL API
ExtractCustom M functions handling pagination
ModelComplex JSON normalised; relationships across tournaments, series, matches, teams and players
OutputInteractive visualisations for historical and live match insights
PurposeMake fast-moving live data explorable for historical and in-match insight
TakeawayComfortable with complex, real-time data — not just static monthly extracts

ML · NLP · MSc thesis

Drug Sentiment Analysis & Recommendation

My MSc dissertation: surfacing the safest drug options for a medical condition from real patient reviews, with a Power BI reporting layer for visual exploration.

Transformer models and sentiment analysis applied to real patient drug reviews to surface the safest drug options for a given condition, with a Power BI reporting layer on top. MSc dissertation: "Enhancing Personalized Drug Recommendations Using Sentiment Analysis and Transformer Models."

NLP
Transformer models
Power BI
Reporting layer
PythonTransformersNLPSentiment analysisPower BI
Data inReal patient drug reviews
MethodTransformer models and sentiment analysis to score and surface the safest options per condition
OutputRecommendation system plus a Power BI reporting layer for visual exploration
PurposeHelp surface safer drug options from real patient experiences
RelevanceAcademic-grade work on messy, inconsistent, real-world data — the same challenge as business data
TakeawayPairs advanced analysis with a reporting layer non-specialists can use

Data engineering · Cloud

Yellow Taxi Trip Analysis Pipeline

An end-to-end pipeline turning New York's Yellow Taxi dataset into an interactive Power BI dashboard of trip insights.

End-to-end data engineering pipeline on Google Cloud with Mage AI and BigQuery: full ETL from raw Yellow Taxi data through transformation logic to an interactive Power BI dashboard.

E2E
Full pipeline
BigQuery
Cloud warehouse
Google CloudMage AIBigQueryPower BI
Data inNew York Yellow Taxi trip dataset, raw
PipelineETL orchestrated with Mage AI on Google Cloud; warehoused in BigQuery
OutputInteractive Power BI dashboard — pipeline design, transformation logic and visual reporting covered end to end
PurposeExtract and surface trip insights from a large raw dataset
TakeawayOwns the whole journey from raw data to dashboard, not just the last mile

FMCG · Sales analysis

Sales Analysis Dashboard — NOVA

A Power BI sales dashboard analysing NOVA's market performance, competitor share and strategic growth opportunities, with executive-level summary views.

Power BI sales dashboard combining multi-category datasets for NOVA: KPI tracking, trend analysis and executive-level summary views. Delivered with Excel and Power BI.

Multi
Category datasets
Exec
Summary views
ExcelPower BIMarket analysis
Data inMulti-category sales datasets
BuildExcel and Power BI; KPI tracking and trend analysis modelled into executive summary views
PurposeShow NOVA's market performance, competitor share and where to grow next
TakeawayFrames analysis around strategic questions executives actually ask
05

Education

MSc Artificial Intelligence

University of Huddersfield, UK

September 2023 – September 2024

Data AnalyticsMachine LearningDatabases & SQLNLPPrompt EngineeringReasoningDSA

Thesis: Enhancing Personalized Drug Recommendations Using Sentiment Analysis and Transformer Models

B.E. Computer Engineering

University of Mumbai, India

July 2018 – August 2022

Data Structures & AlgorithmsStatisticsMathematicsOperating SystemsAgile Development

Thesis: Inspire Art — An AI-Powered Arts and Cultural Recommendation System

06

Certifications

Microsoft PL-300 Power BI Data Analyst
Microsoft
In progress
Navigating the EU AI Act
Professional Certificate
Done
Microsoft Azure AI Essentials
Microsoft
Done
Career Essentials in Data Analysis
Microsoft & LinkedIn
Done
Building AI Products: Security Essentials
Professional Certificate
Done
Career Essentials in Generative AI
Microsoft & LinkedIn
Done
Building Generative AI Skills for Developers
Professional Certificate
Done
07

Get in touch

Open to opportunities

I'm looking for a Data Analyst or BI Developer role — particularly anything involving programme assurance, governance, performance reporting or working closely with stakeholders across teams. I'm used to owning a problem end-to-end, from root cause through to fix and communication.

Looking for a Data Analyst or BI Developer role in programme assurance, governance and performance reporting. Used to owning a problem end-to-end — root cause, fix, then communication.

I work well across technical and non-technical audiences. Based in London. Right to work in the UK.

Data Analyst (any sector, UK) BI Developer / Power BI Specialist Data Quality & Governance roles Analytics Engineer positions Public sector / programme reporting
Download CV Email me