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Maulik95

Maulik95

DATA ANALYST | BI DEVELOPER

Talent
LondonMember since September 26, 2026
Power BIDAXPower QueryData ModellingStar SchemaExcelAdvanced FormulasVBAPower PivotTableauGoogle Looker StudioMySQLComplex QueriesJOINsCTEsWindow FunctionsQuery OptimisationPostgreSQLSQLiteDuckDBpandasNumPyscikit-learnmatplotlibseabornScripting & AutomationREST APIsGitGitHubLLMs
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Power BIDAXPower QueryData ModellingStar Schema

About

Results-driven Data Analyst & BI Developer with 6+ years of experience specializing in advanced SQL query design, relational data modelling (Star Schema), and enterprise Power BI dashboard development. Proven track record engineering optimised SQL queries (CTEs, window functions, indexing) to accelerate reporting turnaround by 35% and building executive BI dashboards with complex DAX measures that improved client contract retention by 12%. Holds an MSc in Data Science (Coventry University, 2026) with strong foundations in operational KPI tracking, data governance (UK GDPR), and automated reporting pipelines.

Experience

Dotcom Colleague at Tesco Extra (2026-02 – 2026-08)

  • Accurately picked online grocery orders across ambient, chilled, produce, and frozen departments using multi-pick handheld terminals (HHT), consistently meeting and exceeding store pick-rate targets.
  • Meticulously inspected all fresh produce and short-life goods to guarantee freshness, proper temperature integrity, and strict adherence to use-by and best-before rotation standards.
  • Applied sound judgement to select thoughtful, customer-first product substitutions when requested items were unavailable, maximizing fulfillment rates and customer satisfaction.
  • Systematically staged, marshalled, and loaded customer delivery totes into temperature-controlled vans within strict dispatch departure windows.

Data Associate Lead - Analytics & Client Operations at MediaRadar (2023-02 – 2024-11)

US consumer intelligence firm serving 15+ enterprise retail accounts

  • Faced daily reporting latency across 15+ enterprise accounts; engineered automated Python ETL workflows and scheduled MySQL queries, cutting data processing turnaround by 35% and enabling same-day reporting refreshes.
  • Tasked with converting complex retail purchasing data into client decision models; architected star-schema Power BI dashboards with advanced DAX measures, driving a 12% contract retention increase across a 15-account portfolio.
  • Managed operational deliverables for 15+ enterprise accounts with strict SLA requirements; resolved complex data quality escalations via JIRA/Salesforce and translated business briefs into analytical specs, achieving a 98%+ client satisfaction rating.
  • Addressed recurring data inconsistencies across client feeds; implemented standardized SQL-based validation scripts and automated QA audit gates, slashing downstream reporting discrepancies by 15%.
  • Encountered slow database queries on multi-million-row transaction tables; restructured MySQL queries, optimized multi-table JOINs, and implemented indexing strategies, accelerating report generation speed by 30%.
  • Tasked with improving team capability and delivery bandwidth; coached and mentored 4 analysts on advanced SQL, Power BI DAX modelling, and QA protocols, raising team analytical throughput by 25% within 6 months.
  • Represented analytics operations during strategic client audits; delivered data capability walkthroughs and BI demonstrations to visiting enterprise executives, securing sign-off on expanded operational scopes.

Subject Matter Expert - Data Operations at Numerator (2018-04 – 2023-01)

  • Retained by 3 major retail clients seeking new category growth; executed SQL cohort and basket analysis on multi-million-row consumer transaction datasets, identifying purchasing trends that generated GBP 1.2M in commercial product launch impact.
  • Confronted manual error-checking overhead across 50+ operational dashboards; engineered Python data profiling scripts to automate ingestion integrity checks, reducing pipeline discrepancies by 15%.
  • Collaborated across Product, Engineering, and Commercial teams to define go-to-market metrics; developed centralized Power BI tracking dashboards that enabled real-time self-serve post-launch performance monitoring.
  • Identified technical skill gaps in junior operational cohorts; authored and delivered hands-on curricula covering SQL optimization and Power BI DAX modelling, successfully upskilling 10+ junior analysts.
  • Monitored departmental SLA health for senior leadership; created and maintained team KPI dashboards, tracking operational risks and variance trends to ensure 100% adherence to critical client delivery deadlines.

Education

MSc in Data Science – Coventry University (2026)

BEng in Electrical Engineering (2017)

Skills

DATA ANALYSTBI DEVELOPER

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