Available for opportunitiesData Analyst · Business Analyst
Business decisions, powered by data.
I turn complex data into business direction.
I connect stakeholder needs, business context, and evidence to define the right problem and shape practical, measurable recommendations.
Recruiter lens
01Business requirements02KPI frameworks03Stakeholder alignment
01 / Business value model
Analysis is useful only when it changes a decision.
My approach starts with the business question, not the dashboard. I combine structured analysis with commercial awareness, stakeholder context, and clear communication.
Frame the question
Clarify the business decision, stakeholder expectations, constraints, and success measures before choosing a tool.
Requirements · Scope · KPIsBuild trusted evidence
Model, validate, and analyze data so every recommendation starts from a consistent and traceable source of truth.
SQL · Python · Data qualityFind the signal
Connect patterns to business context, test assumptions, and separate meaningful drivers from reporting noise.
Gap analysis · Benchmarking · UATInfluence the decision
Translate analysis into visual stories, business cases, and recommendations that stakeholders can understand and use.
Power BI · Storytelling · AlignmentBusiness question→Trusted evidence→Clear insight→Confident decision
02 / Experience
Business context. Analytical depth.
Experience across global organizations where reporting quality, stakeholder confidence, and measurable business outcomes matter.
01
Apr 2025 — Present
Amazon
Sr. Associate, Product Compliance (GSRC)Turning compliance data into management insight through KPI design, business intelligence, data validation, and AI-tool evaluation.
- Designed a Power BI scorecard for senior stakeholders to track NFAs, solved ASINs, and decision-critical KPIs.
- Defined reporting requirements and strengthened the accuracy, completeness, and integrity of published business metrics.
- Evaluated ChatBit AI against manual benchmarks, documented gaps, and translated findings into improvement recommendations.
Business intelligenceKPI designUATData qualityStakeholders
02
Dec 2023 — Mar 2025
TE Connectivity
Business Analyst InternTranslating manufacturing and supply-chain questions into analytics products, automation business cases, and AI-enabled quality insight.
- Gathered cross-functional requirements and converted business problems into functional specifications and analytical solutions.
- Created Power BI decision views and Python-based allocation intelligence for production and supply-chain stakeholders.
- Delivered an award-winning computer-vision solution linked to $80K in annual savings recognition.
Business analysisPower BISupply chainBusiness caseAI / ML
Current thesis projectLJMU
03 / Trustworthy AI research
Evaluating and Mitigating Hallucinations in Large Language Models Using Retrieval-Augmented Generation Across Multiple Domains
A research-led investigation into when LLM answers become unreliable, how RAG can ground responses in retrieved evidence, and how evaluation can support safer AI adoption across domains.
In progressLiverpool John Moores University
Research briefRAG / LLM / Evaluation
Measure
Assess hallucination behaviour and factual consistency across multiple knowledge domains.
Compare
Examine LLM responses with and without retrieval-augmented generation.
Evaluate
Study evidence relevance, answer faithfulness, and the quality of grounded responses.
Mitigate
Develop practical recommendations for reducing risk and improving trustworthy AI use.
Why this matters to business
01
Lower decision risk from unsupported AI responses
02
Stronger governance for enterprise AI adoption
03
Greater stakeholder trust through traceable evidence
04
Better quality controls for AI-enabled products
04 / Selected case studies
Four questions. Four business outcomes.
Open each case to see the business question, analytical response, and decision value—not only the technology used.
Business question
How can leaders review complex compliance performance from one trusted view?
Analysis delivered
Translated stakeholder needs into KPI definitions, modeled SQL and Excel sources, validated multidimensional data, and designed an interactive Power BI scorecard.
Business value
Created a consistent management view for faster performance conversations and reusable reporting across KPI categories.
Evidence stackPower BI · SQL · Excel · Data modeling · KPI governance
Business question
How can allocation decisions become faster, more consistent, and easier to monitor?
Analysis delivered
Mapped the decision workflow, analyzed large multidimensional datasets, and combined Python, Power BI, and automated refresh logic into a governed analytical solution.
Business value
Reduced repetitive decision effort and gave stakeholders current allocation and supply-chain metrics in one visual environment.
Evidence stackPython · Power BI · SQL · Power Automate · Data governance
Business question
Can AI-assisted classification be trusted for consistent business use?
Analysis delivered
Designed UAT cases, compared AI outputs with manual benchmarks, analyzed accuracy trends, maintained traceability, and iteratively tested decision-rule changes.
Business value
Produced evidence-led recommendations to improve tool quality, user productivity, and confidence in AI-assisted decisions.
Evidence stackUAT · SQL · Advanced Excel · Benchmarking · Traceability
Business question
Can data and computer vision improve the consistency and business value of quality decisions?
Analysis delivered
Converted stakeholder requirements into a VGG19 transfer-learning model, structured the training data pipeline, and delivered a usable monitoring interface.
Business value
Achieved 93% accuracy, won the Global Best Business Impact Award, and contributed to $80K annual savings recognition.
Evidence stackPython · VGG19 · Computer vision · ETL · Visualization
05 / Capability portfolio
Built for the space between business and data.
A balanced toolkit for understanding the question, working with the evidence, and helping stakeholders act.
01Core
Business Analysis
Requirements gatheringKPI designBusiness casesGap analysisFeasibilityTraceabilityUATAgile
02Core
Data Analysis
SQLPythonPandasAdvanced ExcelETLData validationBenchmarkingData quality
03Advanced
BI & Storytelling
Power BIDAXData modelingKPI scorecardsVisual storytellingExecutive reporting
04Strength
Stakeholder Delivery
Stakeholder managementFunctional specificationsPresentationCross-functional alignmentScrumKanban
05Research
Trusted AI
RAGLLM evaluationHallucination analysisComputer visionTransfer learningClassification testing
06Applied
Business Domains
Product complianceProcurementSupply chainAutomotiveData governanceAI adoption
06 / Evidence of excellence
Recognition, research, and continuous learning.
Academic depth and professional recognition that reinforce a practical, evidence-led approach to business analysis.
Best Performer of the Month
ONT (GSRC) Team
Global Best Business Impact
Computer-vision solution
VP Recognition
$80K annual savings
Best Project Award
Cataract Detection
Best Researcher Medal
International publications
Education
2024 — 2025
Executive PG Programme — Data Science & AI
IIIT Bangalore · Business Analytics · GPA 3.88 / 4.00
2020 — 2024
B.Tech — Computer Engineering
PCCOE, Pune · CGPA 8.65 · Deep Learning Honors 9.65
Published research
IEEE · 2024
Deep Learning-Based Cataract Detection
A comprehensive study and performance analysis.
Inderscience Scopus · 2023
Handwritten Devanagari Script Recognition
An empirical review of AI approaches.
Leadership
Innovation & Automation Month
Coordinator · Amazon GSRC
PCCOE ACM Student Chapter
Secretary · Best community award
Know Japan International Event
Management Head
Selected certifications
ML & Data ScienceMicrosoft CopilotTata Data VisualizationAWS Cloud FoundationCisco Data Science & PythonIIT Goa ML Optimization
Open to Data Analyst & Business Analyst roles