Sachin Sharma

Business Analyst, BFSI & Insurance · CBAP · CBDA · CII Diploma in Regulated Financial Planning

New Delhi, India · sachinsharmaanalyst98@gmail.com · LinkedIn · GitHub

Professional Summary

Business Analyst with 6+ years across UK and India BFSI/insurance, turning regulatory and customer demand into clear requirements, controls, and measurable outcomes: Consumer Duty, customer-journey mapping, and data/MI. Doctoral researcher in AI in Insurance, focused on ML-model governance and automated compliance across the policy lifecycle. Combines hands-on delivery (Power BI, SQL, Visio, BPMN 2.0) with analytical depth and CBAP/CBDA-backed rigour.

Core Competencies

• Business analysis: Requirements elicitation; user stories & acceptance criteria; As-Is/To-Be modelling; gap & root-cause analysis; UAT, test cases & test plans.
• Process & journey: End-to-end customer-journey and swimlane mapping; BPMN 2.0; process re-engineering; control design.
• Regulatory & conduct: Consumer Duty, fair value, TCF, FCA/PRA, IRDAI, GDPR, KYC/AML; audit-ready documentation.
• Data & reporting: Power BI, SQL, Tableau, advanced Excel; MI packs; data modelling; data-lineage mapping; data-quality rules.
• Delivery & tools: Agile (Scrum, SAFe), Waterfall, SDLC; change management; JIRA, Confluence, Azure DevOps, ServiceNow, SharePoint, Visio; cross-functional & C-suite workshops.

Professional Experience

University of Greater Manchester (Remote) | Doctoral Researcher, AI in Insurance | May 2025 - Present

• Leading doctoral research into AI-driven automation across the health, life, and P&C insurance policy lifecycle, evaluating ML-model governance frameworks to improve policyholder-outcome monitoring under Consumer Duty.
• Conducted structured gap analysis of FCA and PRA compliance workflows across UK insurance brokerages, producing actionable IT-system and automated-governance recommendations applicable to health and insurtech platforms.
• Translating complex research into senior-stakeholder-ready deliverables, bridging academic AI insight and real-world regulatory compliance for digital insurance platforms.

Lloyds Banking Group (Scottish Widows Platform), Exeter | Business Analyst | Sep 2023 - Mar 2025

• Drove Consumer Duty compliance by mapping end-to-end customer journeys and defining fair-value controls in Visio. The programme is credited with an 18% fall in policy-change complaints.
• Streamlined regulatory reporting via data-lineage analysis and requirements elicitation, cutting manual adjustments by 35% and accelerating month-end close by one day.
• Scoped Power BI benefit-realisation dashboards through a feasibility and options review, then defined the MI, thresholds, and embedded data-quality rules behind them.
• Facilitated cross-functional workshops (Reporting, Finance, Risk, Operations) to define UAT acceptance criteria and embed controls into BAU.

British Telecommunications, Exeter | Graduate Scheme | Apr 2023 - Sep 2023

• Rotated across customer operations and technical support on the graduate scheme; diagnosed and resolved complex service issues with structured troubleshooting.
• Logged actions and outcomes in CRM/ticketing for traceable case histories, meeting strict SLAs under GDPR.

Foundever (John Lewis), Exeter | Business Analyst (part-time) | Sep 2022 - Apr 2023

• Elicited requirements across contact-centre operations, IT, training, quality assurance, and the client, producing the process maps, business requirements, user stories, functional specifications, and acceptance criteria behind operational and system change.
• Built the account’s performance reporting on service level, average handling time, first-contact resolution, contact volume, and customer satisfaction.
• Carried CRM, telephony, and workflow changes through impact assessment, UAT, and defect triage to implementation. Part-time contract on the John Lewis campaign, held alongside the MSc at Exeter.

Nurturing Money, New Delhi | Financial Business Analyst | May 2021 - Jan 2022

• Defined the MI requirements and built the Salesforce and Power BI dashboards that met them from SQL sources, including client-retention reporting.
• Re-engineered CRM/policy-admin workflows, cutting endorsement turnaround by 40% and embedding automated KYC/AML controls via a RACI.

Aaradhana Kala Kendra, New Delhi | Junior Business Analyst (part-time) | Aug 2018 - Apr 2021

• Cut client onboarding from three days to under 24 hours by leading cross-team requirements workshops and modelling As-Is/To-Be states.
• Built BPMN 2.0 process maps to surface bottlenecks and standardise workflows; managed multi-level stakeholder sign-off.

Projects

• Index Stock-Price Prediction, MSc Dissertation, University of Exeter: Benchmarked five technical-indicator strategies (SMA, EMA, RSI, MACD, Bollinger Bands) against machine-learning classifiers (Logistic Regression, Naive Bayes, SVM, Random Forest, MLP) and a feed-forward neural network for predicting daily index direction across eight global equity indices (incl. S&P 500, Dow 30, NASDAQ, Russell 2000, FTSE/Cboe UK 100, VIX); backtested with realistic transaction costs and evaluated on Sharpe ratio and drawdowns. Tools: Python, scikit-learn, Keras/TensorFlow, TA-Lib, backtrader, pyfolio, pandas, NumPy, Matplotlib, Jupyter.
• UK School Performance & Ofsted Ranking Dashboard, University of Exeter: Built an interactive Tableau dashboard ranking UK schools on Ofsted grades and post-16 outcomes via a standardised composite score, using k-NN imputation to handle missing values (GOV.UK “Find and compare schools in England” open data); delivered with a design-process report. Tools: Tableau, Python/Excel, k-NN imputation.

Education

• MSc Business Analytics, University of Exeter, UK

  Jan 2022 - Jan 2023.

• Bachelor of Computer Applications, Sabarmati University, India

  Aug 2018 - Jun 2021.

Certifications

• Certified Business Analysis Professional (CBAP), IIBA
• Certification in Business Data Analytics (CBDA), IIBA
• Diploma in Regulated Financial Planning (R01-R06), Chartered Insurance Institute (CII)