Ravi Teja Reddy

Business Data Analyst with an MSc in Business Analytics, I specialise in stakeholder engagement, meeting business objectives, and fostering cross-cultural collaboration. Deliver actionable insights by developing intuitive, automated dashboards and visualizations using SQL, Python, and Power BI. My passion is turning complex data into clear strategies that align diverse teams, enhance KPI tracking, and achieve tangible business results, creating a more efficient and data-driven environment for everyone.

Performance Assurance Manager Mar 2024 - Present

Mitie, Manchester

• Delivered cross-departmental process improvements, achieving 99.7% KPI performance and reducing outstanding work by 55%.
• Achieve business goals by mapping, analysing, and evaluating requirements and processes, and suggesting improvement across departments.
• Manage performance of key internal and external delivery teams in performing planned maintenance and reactives.
• Perform root-cause and trend analysis uncovering bottlenecks in invoice processing, approval workflows, and supplier engagement.
• Investigated and resolved operational anomalies using structured data analysis, collaborating with insights and asset teams to validate issues.
• Lead targeted process improvement initiatives by creating detailed 'As-Is' and 'To-Be' process maps using MS Visio, identifying key opportunities for efficiency gains.
• Develop an extensive understanding of the workflows and shortcomings between Maximo and other Mitie systems such as Cash (MFS), Cyclops (Mitie Water), Coupa, etc. and support the delivery of all innovation and change.
• Extract, Clean and Organise data to build Power BI dashboards reports reflecting true performance enabling teams optimize delivery.
• Develop and maintain reusable SQL and SAS scripts to support customer impact assessments, adopting structured data techniques inspired by national energy datasets.
• Demonstrate problem-solving skills to resolve complex tasks involving remedial, IT, quotes and approvals. 
• Contribute to a culture of continuous improvement by anticipating challenges, sharing knowledge, and supporting wider team success.

• Applied business forecasting, predictive and prescriptive analytics techniques to evaluate real-world datasets, enhancing decision-making frameworks around operational efficiency and resource allocation.
• Utilised SQL for querying structured datasets and leveraged Microsoft Azure tools (e.g., Synapse, Data Factory) for scalable cloud analytics, enabling secure data processing and insight generation across distributed systems.
• Explored the role of Artificial Intelligence in business, including its applications in demand prediction, customer segmentation, and anomaly detection, while aligning solutions to ethical and strategic business contexts.
• Contextualised statistical methods (e.g., hypothesis testing, regression, correlation) within business scenarios to interpret performance drivers and support evidence-based recommendations.
• Conducted independent research on UK energy pricing and affordability, analysing historical price trends, energy mix data, and EU affordability benchmarks to inform insights on market pressures and equity challenges.

STEP, India

• Influence key business strategy by delivering prescriptive, data-driven insights and compelling narratives to senior leaders, enabling more informed decision-making.
• Led process improvement initiatives through end-to-end analysis of operational workflows, resulting in a 36% increase in team productivity and measurable efficiency gains.
• Built a centralised reporting system using Excel, Power Query, and Power BI, reducing manual reporting time by 60% and enabling real-time performance tracking across departments.
• Designed and analysed internal feedback and public satisfaction surveys, identifying key service gaps and prioritising actions based on quantitative and qualitative insights.
• Created reusable SQL and Excel logic templates to monitor financial cash flows, project delivery timelines, and resource utilisation.
• Collaborated with cross-functional teams to document business requirements and translate them into technical specifications for system improvements.
• Supported change initiatives by delivering actionable insights, aligning data analysis with strategic goals in operational, financial, and service delivery contexts.
• Supported GDPR-aligned data storage practices and trained internal users on proper handling of centralised data repositories.
• Analysed time-tracking and utilisation data to support workforce planning and improve resource deployment across multiple projects.

Data Analyst – Internship (Master’s Project) June 2023 - August 2023

Time Trove, Manchester 

• Developed complex SQL queries and stored procedures to extract, join, and aggregate large datasets from relational databases (e.g., SQL Server, MySQL), enabling deep-dive analysis of operational performance.
• Learning and applying data warehousing concepts such as star/snowflake schema, slowly changing dimensions (SCD), and ETL best practices, with a focus on building scalable, audit-ready data infrastructure.
• Led sentiment and text analysis on open-ended survey responses using Python and Excel, providing actionable insights that informed customer experience improvements.
• Build foundational knowledge in building data pipelines using Python (Pandas) and Power Query for automating data cleaning and merging tasks across multiple sources.
• Assist the lead data analyst through evolving research findings, such as data masking, GDPR compliance, data pipelines and data monetisation. 
• Defining a data-driven query that can be used to investigate or demonstrate a particular problem.

MSc in Business Analytics September 2022 – September 2023

University of Dundee, Dundee, United Kingdom – Merit with Honours

• Key Modules: Database systems development, Data visualisation for business, Fintech technology, Business analytics project, Operations management and change, Managing people and organisations, Strategic management & organisational analysis, Prescriptive and predictive analytics.

Annamalai University, Chennai, India - Merit with Honours

• Key Modules: Operations Management, Business Finance, Human Resource Management, Banking, Trade.

MCA in AI and Machine Learning Algorithms (Remote) May 2025 – December 2026

Manipal Institute of Technology, India

• Key Modules: Python Programming, FDMS, Object Oriented Programming – Java, Computer Architecture, Software Engineering & Project Management, Deep Learning and Text Mining, Applied Data Analytics
• Tools: SQL, Python, C, JAVA, Power BI, Tableau, OSINT