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 scope Evidence to action
Portfolio riskMonitor
Where is exposure concentrated?
Market opportunityPrioritise
Where is demand both large and accessible?
Search and AI qualityEvaluate
Does the result match intent and context?
Common outputEvidence, limitations and a clear next step.
An illustrative overview of Karla's analytical scope across portfolio risk, market opportunity and search or AI quality evaluation.

Analytical Practice

A clear path from questionto recommendation.

The method stays visible so the result can be reviewed, challenged and reused.

  1. 01 Frame

    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.

    Business question · Scope · Success criteria
  2. 02 Prepare

    Make the evidence trustworthy.

    I inspect structure, standardise fields, identify duplicates, document assumptions and preserve enough context to explain every transformation.

    Cleaning · Validation · Joins · QA
  3. 03 Analyse

    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.

    SQL · Spreadsheets · Python · Exploration
  4. 04 Explain

    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.

    Visualisation · Narrative · Recommendation

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.

BigQuery + Looker Enterprise

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
View the case study

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
View the case study

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.

Independent Contractor

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.

Growth Leads

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.

TransUnion

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.

Working toolkit Question → Evidence → Decision
Foundation

Query and structure

Retrieve, combine and organise the information needed to answer a defined question.

  • SQL
  • Joins
  • Filtering
  • BigQuery
  • Database fundamentals
Quality

Analysis and quality

Clean, validate, compare and document data across practical analytical workflows.

  • Excel
  • Google Sheets
  • Python
  • Data cleaning
  • Validation
Reporting

Visualisation and reporting

Make patterns visible and connect performance indicators to business context.

  • Power BI
  • Looker Enterprise
  • Looker Studio
  • GA4
  • Google Search Console
Delivery

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.

  • Google Data Professional Certificates

    Google and Google Cloud

    Data Analytics, Business Intelligence and Cloud Data Analytics professional certificates covering end-to-end analysis, data modelling, dashboards, reporting and cloud-based workflows.

  • Full-Stack Software Developer

    Code Institute

    Technical foundation in front-end and back-end development, APIs, version control and deployment workflows.

  • Doctoral research in Cognitive Psychology

    Selinus University

    Independent research on AI, cognition and human reasoning that strengthens question design, source evaluation and careful interpretation of complex evidence.

  • MSc in Marketing and Digital Communication

    IMF Business School

    Commercial 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.