About Me
Results-driven business intelligence and data analyst with over 5 years of experience designing etl pipelines, building interactive dashboards, and delivering actionable insights for business operations. Proficient in py…
Results-driven business intelligence and data analyst with over 5 years of experience designing etl pipelines, building interactive dashboards, and delivering actionable insights for business operations. Proficient in python, SQL, and data visualization tools with hands-on expertise in power BI, DAX, data modelling, google sheets API, and stream lit.
Adept at integrating APIs, automating workflows, and creating lightweight internal applications to improve efficiency and decision-making. Strong background in data wrangling, testing, and dashboarding across PostgreSQL/MySQL databases and salesforce CRM systems. Proven track record of partnering with stakeholders to translate complex data into clear, impactful business solutions.
Experience
BUSINESS INTELLIGENCE ANALYST
<p>Designed and maintained ETL pipelines extracting data from Salesforce CRM, PostgreSQL/MySQL databases, and REST APIs to streamline reporting and analytics.</p><p> Performed advanced data wrangling and cleaning using Python (Pandas, NumPy) and SQL, improving data accuracy and reducing manual processing time.</p><p> Developed and deployed interactive dashboards and visualizations using Power BI, Google Sheets API, and Stream lit to track KPIs and operational performance.</p><p> Built lightweight internal web applications with Python/Flask, Stream lit, HTML/CSS, and basic JavaScript to automate business workflows.</p><p> Integrated APIs such as OpenWeatherMap (event forecasts), Stripe (payment analytics), and Google Sheets for real-time data synchronization.</p><p> Conducted exploratory data analysis (EDA) to uncover trends and insights supporting customer acquisition, retention, and operational efficiency initiatives.</p><p> Used Git for version control and collaborative development across cross-functional teams.</p><p> Automated reporting processes using Python scripting and Google Sheets API, reducing report turnaround time significantly.</p><p> Ensured data integrity by conducting regular testing, validation, and auditing of dashboards and ETL processes.</p><p> Produced clear data documentation and presented insights to senior stakeholders, enabling data-driven decision making.</p>
DATA ANALYST
<p>Wrote SQL queries across large transactional datasets to deliver daily reporting and ad-hoc analysis, improving decision-making speed by 30% for operations and finance teams.</p><p> Migrated legacy Excel processes into automated Python scripts (Pandas, NumPy), reducing manual reporting time from several hours to under 30 minutes per cycle.</p><p> Designed and deployed Power BI dashboards to track KPIs such as driver performance, ride volume, and revenue trends, enabling department heads to make data-driven operational adjustments.</p><p> Integrated multiple data sources (dispatch system, payment gateway, and customer feedback) to create a unified view of business performance.</p><p> Conducted data quality checks and implemented validation rules, reducing reporting errors by 20%.</p><p> Collaborated with stakeholders to identify key metrics and improve reporting structure, leading to more accurate forecasting and resource allocation.</p>
AA Teleworker
<p>Handled inbound and outbound calls from customers needing urgent assistance, including in difficult or stressful circumstances.</p><p> Maintained professionalism and empathy while assessing breakdown scenarios and dispatching support.</p><p> Logged case details accurately in CRM system while managing multiple tasks and systems.</p><p> Provided reassurance to stranded motorists and ensured high levels of customer satisfaction.</p><p> Worked to KPIs including call response time, case resolution, and customer feedback.</p><p> Experienced with home-working tools (e.g., Microsoft Teams, Zoom, VPN access).</p>
PROJECTS
Performance, Insights
<ol><li>This project focuses on developing a Business Intelligence (BI) solution for a marquee hire company to improve business performance, operational efficiency and strategic decision-making through data analysis and visualisation.</li><li>The project will involve collecting, integrating and analysing data from multiple areas of the business, including customer bookings, revenue, staffing, equipment allocation, transportation, logistics and operational expenditure. Using Microsoft Excel for data management and preparation, alongside Power BI for data modelling, analysis and interactive visualisation, the aim is to transform raw business data into meaningful insights that support informed management decisions.</li><li>A key aspect of the project will be examining how resources are allocated across multiple bookings and event locations. This will include analysing staff availability, working hours, labour costs, vehicle utilisation, delivery schedules, fuel consumption and transportation expenses to identify inefficiencies and opportunities for cost reduction.</li><li>The project will also incorporate external weather data to assess how environmental conditions, such as rainfall, wind speed and temperature, may affect scheduled events. By combining weather forecasts with booking information, the business can identify potentially high-risk events, anticipate operational challenges and make better-informed decisions regarding staffing, equipment and transportation requirements.</li><li>The resulting Business Intelligence platform will provide management with interactive dashboards and reports highlighting key performance indicators, including booking trends, revenue growth, operational costs, staff utilisation, transportation efficiency and profitability per event.</li><li>Ultimately, the project aims to establish a data-driven approach to business management, enabling the marquee hire company to improve resource planning, reduce unnecessary expenditure, maximise profitability, anticipate operational risks and identify opportunities for sustainable business growth.</li></ol>