Sachin Sharma

Business Analyst — BFSI & Insurance · CBAP · CBDA · DipFPS (CII) · PSM

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 — PhD Researcher, AI in Insurance | Apr 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, 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, reducing policy-change complaints by 18%.
• Streamlined regulatory reporting via data-lineage analysis and requirements elicitation, cutting manual adjustments by 35% and accelerating month-end close by one day.
• Lifted renewal save rate by 12% with Power BI KPI dashboards and embedded data-quality rules.
• 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

• Completed a rotational graduate scheme spanning customer operations and technical support; 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 — IT Support | Sep 2022 – Apr 2023

• Delivered multichannel IT and customer support via CRM/ticketing with strong first-contact resolution.
• Applied PCI/GDPR protocols and knowledge-base workflows to improve handle time and consistency.

Aaradhana Kala Kendra, New Delhi — Business Analyst | Apr 2021 – Jan 2023

• 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.

Nurturing Wealth, New Delhi — Financial Business Analyst | Jul 2019 – Apr 2021

• Delivered 15% YoY client-retention gain by defining MI requirements and building interactive Power BI dashboards from SQL sources.
• Re-engineered CRM/policy-admin workflows, cutting endorsement turnaround by 40% and embedding automated KYC/AML controls via a RACI.

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.
• AI Job-Application Co-pilot (personal, 2025–26) — Built a Python pipeline using the Claude API to scrape, holistically score, tailor (with an automated fabrication-audit step), and queue job applications end to end. Tools: Python, Claude API, Playwright, SQL/JSON.
• 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 (Future Leader Scholar) — 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 Financial Planning, R01–R06 (DipFPS) — Chartered Insurance Institute (CII)
• Professional Scrum Master Specialization — Coursera