Description

Data & Business Insights Consultant | Business Transformation Specialist

I help UK-based organisations turn fragmented data into automated, high-performing commercial assets.

With a professional background in Business Transformation and Data Analytics, I specialise in bridging the gap between a founder’s vision and the technical data needed to reach it. My approach isn’t just about building charts; it’s about identifying the manual bottlenecks slowing your team down and building the automated reporting tools needed to fix them.

What I Bring to Your Project:

I spent two years at Impact Tech Solutions working across global loyalty programs and revenue cycle management. I don’t just "handle data"—I interrogate it to find revenue leaks, optimize customer behavior insights, and ensure your data architecture is clean, reliable, and ready for the 2026 AI landscape.

My Core Expertise:

Interactive BI Development: Designing Power BI and Tableau dashboards that transform "raw noise" into live, actionable executive insights.

Data Architecture & SQL: Overhauling "messy" legacy datasets and building robust ETL pipelines to create a single, trustworthy source of truth.

Workflow Automation: Replacing repetitive, spreadsheet-heavy tasks with automated Python or Excel/VBA scripts to reclaim significant team capacity.

Commercial Strategy: Analysing CRM, POS, and revenue data to identify growth opportunities and evidence-based cost savings.

Why Work With Me?

I am currently establishing my independent practice in the UK (operating on a Graduate Visa with full right to work/self-employment). I am looking to partner with SMEs and fast-moving startups that need a senior level of data maturity without the overhead of a full-time hire.

I am currently offering a "Data Clarity Pilot" for new UK clients—a low-risk, fixed-price way to see exactly how much value your data is currently hiding. Let’s connect to discuss your first project.

Languages

English
Native or bilingual
Hindi
Native or bilingual
Urdu
Native or bilingual

Workplace preferences

Can work on-site

Birmingham (up to 50km)

Fynaptiq
Innovation Business Data Analyst
CONSULTING AND AUDITS
May 2025 - Today (1 year and 3 months)
Birmingham, United Kingdom
Contract Based
Early-stage deep-tech venture in financial risk and fraud detection. Joined pre-incorporation as a core data contributor.
Worked with large-scale ECB financial datasets consisting payment flows, monetary aggregates, stability indicators to build fraud intelligence feeding the core detection model. Designed data pipelines (~95% QA accuracy), built stakeholder dashboards, and contributed to ML pipeline architecture under federated learning constraints.
92% delivery rate · ≤1 revision cycle avg · 4.2/5 reporting clarity
Python Microsoft Power BI Data analysis Business intelligence SQL
Impact Tech Solutions
Data Analyst
DIGITAL AND IT
April 2022 - March 2024 (1 year and 11 months)
New Delhi, India
Optimized Customer Lifecycle Analytics: Overhauled the data framework for large-scale loyalty programs, integrating POS and CRM data to create a "360-degree customer view." This transformation allowed client organizations to shift from generic promotions to behavior-based campaigns, increasing member engagement by 22%.
Automated Strategic Reporting: Developed and deployed automated Power BI dashboards that replaced manual weekly reporting for global clients across the Retail and Healthcare sectors. This streamlined the decision-making process for stakeholders and reduced the internal reporting workload by 15+ hours per week.
Enhanced Fraud Detection & Data Integrity: Collaborated with the engineering team to implement proprietary machine learning models within the Loyalty Management Platform. By refining data validation rules and anomaly detection, I helped reduce fraudulent reward redemptions by [X]% while improving overall data accuracy.
Revenue Cycle & Process Modernization: Conducted deep-dive analysis into revenue cycle management workflows for healthcare clients to identify operational bottlenecks. My data-driven recommendations led to the redesign of automated billing triggers, resulting in a [X]% faster turnaround for claims processing and improved cash flow for clients.