Sneha Sankar

Data Analyst with an MSc in Business Analytics, experienced in analysing large, multi-source datasets to generate actionable insights and support evidence-based decision-making. Proficient in Python, SQL, Power BI, and Excel, with a strong focus on data quality, evaluation, and performance monitoring. Experienced in developing dashboards, conducting quantitative analysis, and communicating insights to diverse stakeholders. Seeking to be a Data Analyst.

Microsoft Office Specialist(MOS) Excel: 1000/1000 score

Urban Road Traffic Accident Risk Analysis

· Integrated and analysed 5 large-scale datasets (traffic, weather, road networks, geospatial) to evaluate spatio-temporal risk patterns and conduct hotspot analyses across UK cities.

· Applied statistical modelling and machine learning techniques (regression, random forest, XGBoost) to identify key factors influencing accident risk.

Time Series Forecasting and Sentiment Analysis for Economic Insights

· Analysed 60+ years of time-series data, applying ARIMA and Holt-Winters models to achieve high forecasting accuracy (MAPE

· Conducted NLP and classification on 5,000+ records to extract behavioural insights.

Predictive Modelling and Decision Analysis for Customer Behaviour

· Applied CRISP-DM methodology to analyse customer datasets (2,000+ records) and MCDA frameworks to evaluate scenarios.

· Built predictive models using statistical and regression techniques to identify key behavioural drivers and recommend business strategies.

Data Visualisation and KPI Dashboard Development

· Designed dashboards (Power BI, Tableau) to monitor KPIs across £1bn+ revenue data using Gestalt data storytelling principles for technical and non-technical stakeholders.

· Performed data modelling and visual analytics to identify trends, performance gaps, and £10M+ opportunities.