Surbhi Singh

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Hello! I'm Surbhi

I believe the true value of data lies in the decisions it enables. As a Business Analyst with over three years of experience, I use Python, SQL, and Power BI to transform complex datasets into clear, actionable insights.

Through automation and thoughtful reporting, my work has improved operational efficiency by 20% and increased user adoption by 30%, helping teams make smarter, faster, and more confident decisions.

Surbhi Singh

BUSINESS & DATA ANALYST

Phone:

+44-7749816977 / +91-8588931153

Email:

surbhisingh3801@gmail.com

Address:

London, United Kingdom

Date of Birth:

Feburary 21st, 1998

EXPERIENCE

March 2023-Sept 2023

VIANAI Systems Inc.

Business Analyst

Led KPI definition and reporting design with finance, sales, and product leaders, configuring anomaly alerts and shaping BI dashboards that improved issue identification and strengthened management oversight.
Owned end-to-end requirements translation by converting analytical needs into Azure DevOps logic and Jira artefacts, reducing stakeholder follow-ups by 25% and improving delivery predictability.
Drove insight quality and business-rule accuracy by analysing 300+ user queries and SQL logic from a conversational analytics platform, improving response accuracy by 30%.
Delivered compliance-ready reporting by extracting finance data from PostgreSQL using complex SQL queries and producing 8 Power BI dashboards, increasing monitoring effectiveness by 20%.
Enabled business decision-making by validating analytical outputs and model results against business scenarios and acceptance criteria, ensuring reliable releases, trusted insights, and stakeholder confidence.

Jan 2020-March2023

Business Analyst

Instant Systems Inc.

Acted as the liaison between business stakeholders by eliciting requirements and translating needs into dashboards and ETL workflows, supporting the delivery of 85%+ high-impact features with a 9-member Agile team.
Conducted business and data analysis using SQL, Python, Excel, Google Analytics, and Looker Studio, improving targeting accuracy by 20% and contributing to 10,000+ app installs within five months.
Improved reporting and data governance by integrating Firebase Realtime Database with BigQuery and building ETL pipelines, reducing manual reporting effort by 40% and analysis preparation time by 15+ hours per week.
Delivered insights through Power BI (Power Query, DAX) to analyse performance and campaign outcomes, accelerating 15+ stakeholder decisions and improving campaign strategy.
Led business-focused A/B testing, UAT, and API validation aligned to acceptance criteria, achieving 100% defect-free releases, 30% usability improvement, 25% fewer bugs.

EDUCATION

2023-2024

Master's Degree

LOUGHBOROUGH UNIVERSITY

MSc in Business Analytics , (Merit)

Modules included: Discovery Analytics, Decision Analytics, Customer Analytics, Managing Big Data, Consulting Project Skills

2016 - 2020

Bachelor's Degree

Dr. A.P.J. Abdul Kalam Technical University

B. Tech in Computer Science

Modules included: DBMS, Data Structure, and Information Theory & Coding

PROJECT AND PRESENTATION

Spotify Data Analysis for Non-Specialist Users: Predictive Modeling & BI Dashboard

Airline Network Analysis and Recommendation for Star Alliance Expansion

Built predictive model (Random Forest, Python) to forecast Spotify song popularity with 87% accuracy, analysing large-scale streaming data.

Designed interactive Power BI dashboards to visualise KPIs and regional trends, enabling non-technical stakeholders to derive actionable insights.

Analyzed airline operational data and network connectivity using Gephi software to recommend a new member for Star Alliance. The evaluation considered key factors such as major airport hub presence, passenger volume, on time performance, and customer satisfaction ratings to ensure strategic fit and enhanced network synergy.

Enhancing Delivery Scheduling Efficiency with Excel VBA

Strategic Integration of AI and Big Data in Uber’s Transportation and Logistics

Developed a comprehensive delivery scheduling solution using Excel VBA for a small delivery firm. The project involved creating subroutines to update driver assignments, add new trips, and generate detailed trip reports.

The analysis explores the strategic integration of big data in revolutionizing Uber’s transportation and logistics operations.

Innovative Agent-Based Modelling of Blood Sugar Regulation in NetLogo

Data-Driven Market Analysis with Excel Macros

Analyzed blood sugar regulation using an agent-based model in NetLogo. The study explored the physiological interactions of insulin, glucagon, and glucose within the human body.

Conducted a comprehensive geo-demographic market analysis for a nationwide rollout across 350 districts. Utilized pilot data and applied Business Analytics Methodology, including rich picturing, Business Model Canvas, and regression analysis.

CLIENTS