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

Collaborated with stakeholders across business and technical teams to define, document, and refine business requirements, ensuring 100% alignment with product goals and identifying key areas for performance optimization in generative AI applications.
Analyzed large datasets to identify patterns, trends, and anomalies, improving data accuracy and reliability for AI-driven applications.
Collaborated with data science teams to evaluate machine learning model performance, to enhance predictive accuracy by 20%.
Led user acceptance testing (UAT) and coordinated feedback loops with end users, improving system usability and adoption rates by 30%.
Developed user stories, use cases, and process flow diagrams, ensuring seamless communication between business and development teams.
Led backlog refinement sessions with developers and product owners, prioritizing tasks effectively and ensuring an 85% sprint completion rate within deadlines.
Analyzed and mapped business processes, identifying inefficiencies and recommending process enhancements that led to a 20% increase in operational efficiency.

Jan 2020-March2023

Associate Business Analyst

Instant Systems Inc.

Collaborated with developers and business teams to refine application functionality, ensuring 100% alignment with user expectations and business requirements.
Performed end-to-end system testing, including integration, performance, regression, and UAT testing, ensuring seamless deployment with 95% defect-free releases.
Developed test plans and automated test scripts to validate system functionality, reducing manual testing efforts by 40% while enhancing test coverage.
Automated mobile application testing using Appium, improving test coverage by 40% and reducing manual testing time by 30%.
Developed and executed 30+ automated API testing scripts in Postman using JavaScript, ensuring faster validation of API performance and reliability.
Created test cases covering all the scenarios, ensuring full alignment with the functional requirements and validating that all system components performed as expected.

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