Data Analytics · Business Intelligence · Cloud Analytics
I turn complex data into decisions people can use.
My analytical practice combines more than a decade of multilingual search quality, language evaluation and AI data work with SQL, BigQuery, Looker, Power BI and formal study in data science and business analytics.
Analytical Practice
A clear path from questionto recommendation.
The method stays visible so the result can be reviewed, challenged and reused.
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01
Frame
Business question · Scope · Success criteria
Start with the decision, not the dashboard.
I define the question, the audience and the action the analysis must support before choosing metrics or methods.
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02
Prepare
Cleaning · Validation · Joins · QA
Make the evidence trustworthy.
I inspect structure, standardise fields, identify duplicates, document assumptions and preserve enough context to explain every transformation.
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03
Analyse
SQL · Spreadsheets · Python · Exploration
Test what the headline number hides.
I compare segments, markets, intent and performance so the largest figure is not automatically mistaken for the strongest opportunity.
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04
Explain
Visualisation · Narrative · Recommendation
Turn findings into a usable answer.
I connect the result to commercial context, communicate limitations and build a recommendation that can guide the next step.
Selected Analysis
Technical execution connectedto a real decision.
The projects combine analytical engineering, data quality and business interpretation across financial risk monitoring and international market opportunity.
Portfolio risk analytics
Loan Portfolio Risk and Concentration Monitor
I built an end-to-end cloud analytics workflow that validates 270,299 loan records, creates reusable BigQuery risk marts and turns exposure, status and geographic concentration into an interactive Looker monitoring dashboard.
- SQL
- Data modelling
- Quality checks
- Dashboard design
Market opportunity analytics
SEO Market Opportunity Analysis
I cleaned and compared 2.15 million monthly searches across Spain, France and the United Kingdom. The analysis separated raw demand from accessible non-brand opportunity and found that France offered the strongest launch position, with a 69.7% non-brand share.
- Data cleaning
- Segmentation
- SQL
- Commercial analysis
Relevant Experience
Years of evidence, evaluationand structured judgement.
My experience with data began before the modern BI toolkit. It was built through search evaluation, multilingual quality work, structured review, publishing QA and risk-sensitive investigation, and is now extended through SQL, cloud analytics and dashboard development.
Search Quality and AI Data Analyst
Delivered search quality, personalised search and AI data evaluation projects for TELUS Digital, Lionbridge, Appen, Leapforce, Outlier and related platforms. Assessed relevance, intent, accuracy, language quality and content usefulness, documented edge cases and supported multilingual training and evaluation workflows.
Content Specialist and QA Analyst
Reviewed and published more than 1,500 structured pages, identified recurring errors and helped improve templates, validation routines and documentation.
Fraud Operations Analyst
Reviewed sensitive information and investigated cases requiring accuracy, consistency and careful judgement.
Methods and Tools
Technology organised aroundthe work it enables.
This toolkit reflects how I work today: retrieve and validate data, analyse patterns, communicate findings and understand how those insights move into real workflows.
Query and structure
Retrieve, combine and organise the information needed to answer a defined question.
- SQL
- Joins
- Filtering
- BigQuery
- Database fundamentals
Analysis and quality
Clean, validate, compare and document data across practical analytical workflows.
- Excel
- Google Sheets
- Python
- Data cleaning
- Validation
Visualisation and reporting
Make patterns visible and connect performance indicators to business context.
- Power BI
- Looker Enterprise
- Looker Studio
- GA4
- Google Search Console
Implementation
Understand how analysis moves into websites, products, publishing systems and shared workflows.
- HTML
- CSS
- JavaScript
- GitHub
- WordPress and CMS
Education and Development
Formal learning, technical practiceand independent research.
My development combines data science, analytics, software engineering, marketing and cognitive research. Together, these areas strengthen both technical execution and the judgement required to interpret evidence responsibly.
View all credentials and certificates-
BSc (Hons) in Data Science and Artificial Intelligence
IIT Guwahati · Remote (in progress)Formal development across data science, programming, statistics and artificial intelligence.
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Google Data Professional Certificates
Google and Google CloudData Analytics, Business Intelligence and Cloud Data Analytics professional certificates covering end-to-end analysis, data modelling, dashboards, reporting and cloud-based workflows.
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Full-Stack Software Developer
Code InstituteTechnical foundation in front-end and back-end development, APIs, version control and deployment workflows.
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Doctoral research in Cognitive Psychology
Selinus UniversityIndependent research on AI, cognition and human reasoning that strengthens question design, source evaluation and careful interpretation of complex evidence.
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MSc in Marketing and Digital Communication
IMF Business SchoolCommercial and audience context for connecting analytical findings to market and communication decisions.
Contact
Looking for analysis with context,discipline and a clear answer?
Send me a message and let's discuss the question behind the data.