Emerging data professional

Structured thinking, sociological insight, and data-driven decision support.

I am an international sociology student at Nottingham Trent University with a clear focus on data analytics, reporting, and insight generation. I bridge sociological understanding with practical tools like SQL and Power BI to help organisations see patterns, understand behaviour, and act with confidence.

Focus Data analytics & Azure foundations
Profile International sociology student
Opportunities Open to data-focused roles
Based in Nottingham · International background Sociology with quantitative focus Interested in data analytics & data engineering roles

Profile

About Me

A sociology foundation with a practical analytics mindset. I am comfortable working with data, communicating clearly with stakeholders, and translating findings into concrete next steps.

Alongside my sociology degree at Nottingham Trent University, I have invested time in building technical skills that support data-informed decision-making: querying structured data with SQL, building professional dashboards in Power BI, and presenting clear reporting for non-technical audiences.

My academic work explores how social context, behaviour, and systems interact. I complement that qualitative perspective with quantitative analysis, using data to frame questions, test assumptions, and communicate practical insights that are easy to act on.

From a sociology perspective, I pay attention to how context, structure, and lived experience shape outcomes. This helps me frame questions thoughtfully and keep people at the centre of any analysis.

Core capabilities

Skills for data & insight roles

Focused on tools and competencies that matter for entry-level analytics and data engineering positions, with a strong emphasis on clarity, reliability, and stakeholder value.

SQL & relational data Power BI dashboards & reports KPI design & monitoring Business insights & storytelling Structured analytical thinking Russian & English communication

SQL & data querying

Writing clear, well-structured queries to extract, filter, and join data from relational sources. Comfortable with SELECT statements, joins, aggregations, and preparing data views for reporting.

Power BI reporting

Building clean, recruiter-friendly dashboards in Power BI that emphasise KPI tracking, trend analysis, and simple navigation. Careful use of visuals that keep attention on the story, not the tooling.

Insights & communication

Summarising findings in concise language for stakeholders, highlighting what is working, what is changing, and where intervention is needed. Comfortable presenting conclusions verbally and in written reports, in both Russian and English.

Analytical discipline

Organising work into clear stages: question framing, data preparation, exploration, visualisation, and synthesis. Considering limitations, assumptions, and data quality throughout.

Selected projects

Examples of data work

Representative projects that show how I work with data, design practical dashboards, and communicate results in a way that recruiters and hiring managers can quickly understand.

Retail sales performance report

Case-study style project · Self-initiated

Built a mock dataset and analysis around multi-store retail performance, focusing on weekly sales, product mix, and basic margin indicators. Designed a report that answered questions such as which stores are consistently over/under-performing and which product categories drive revenue.

SQL analysis Power BI reporting Business insight framing

Outcome: Demonstrated a practical understanding of how commercial teams think about performance, and how analytics can point to pragmatic actions like range optimisation or local campaigns. For a fuller walkthrough of the mock dataset, report layout, and visuals, please contact me directly so I can share details without publishing everything publicly.

Survey data exploration

Sociology coursework · Quantitative methods

Worked with anonymised survey data to explore attitudes, behaviours, and demographic differences. Cleaned responses, created derived variables, and visualised relationships between key indicators to support written analysis.

Data cleaning Exploratory analysis Academic reporting

Outcome: Produced a coherent narrative that tied statistical observations back to sociological concepts, illustrating an ability to link numbers and theory in a structured way.

Data playground

Experiment with a simple scenario

A small interactive module that mirrors how I think about changing inputs and interpreting their impact on performance. It is illustrative rather than tied to real data.

Perspective balance Balanced

Move the slider to shift from a sociology-first perspective on the left, through a blended view in the middle, to a data-focused mindset on the right.

At around 50% promotional focus, performance is balanced: key stores receive support without overwhelming margin. The next sensible question is whether specific locations or categories merit targeted campaigns.

Education

Academic background & development

Formal study in sociology complemented by ongoing self-development in analytics and data engineering fundamentals.

Nottingham Trent University

BA (Hons) Sociology · International student · In progress

  • Modules covering research methods, social theory, and contemporary social issues.
  • Exposure to survey design, data collection, and interpretation of empirical findings.
  • Coursework that encourages critical thinking, structured writing, and clear argumentation.

Analytics & technical development · Microsoft Azure

Self-directed learning · Analytics tooling and Azure platform exploration

  • Targeting internships and graduate schemes in data analytics and data engineering.
  • Practical work with SQL and Power BI to build dashboards and reports from structured data.
  • Early, hands-on exploration of Microsoft Azure data services and how they support modern analytics workflows.

Personal note

Why I built this website

You may be wondering why I went to the effort of buying a domain, building a site from scratch, and iterating on the details. The short answer is that I wanted the freedom to speak in my own voice and to learn how the web actually works.

Creating this site has been a deliberate choice to step beyond templates and closed platforms. I wanted unlimited freedom in how things are presented, and a space where I can decide what matters rather than being constrained by someone else's design or algorithm.

Along the way, I have been developing my understanding of web creation and coding so that I can express myself in a constantly evolving, complex online world. For me, this site is both a portfolio and a learning project: a place where sociology, data, and digital craft meet.

Contact

Connect with Me

If you are recruiting for analytics internships, junior analyst roles, or early-career positions that sit between data and business, I would be happy to talk. I am particularly interested in roles where I can work with SQL-based data, contribute to Power BI reporting, and learn from experienced data professionals.