Ambitious data analyst with a strong background in mechanical engineering. Passionate about working towards data science. Proven track record of using data to drive business decisions and optimize performance. Skilled in…
Ambitious data analyst with a strong background in mechanical engineering. Passionate about working towards data science. Proven track record of using data to drive business decisions and optimize performance. Skilled in data manipulation, visualization, and analysis using tools such as SQL, Excel, and Python. Career ambitions is to develop into a data science role within the sports industry to apply my skills and obsession for sports to drive insights and innovation. Gained multiple certificates in Data analytics and Data science from University Coding Boot Camp, Google and IBM.
Managing and analysing half hourly data for the west midlands regional customers. Dealt with customers through End to End services. Ad hoc reporting for stakeholders through data collection. Created visualisation for data driven decisions.
Managed half-hourly data across the UK through producing a Data Warehouse with continuous updates.
Analysed half-hourly electrical consumption data to identify trends, anomalies, and patterns.
Developed data models and performed statistical analysis to optimize energy consumption and distribution.
Created automated data pipelines for data extraction, transformation, and loading (ETL) processes.
Utilized advanced analytics tools and software such as Python, R, and SQL for data manipulation and visualization.
Collaborated with cross-functional teams to understand business requirements and provide data-driven insights.
Prepared comprehensive reports and dashboards to communicate data findings to stakeholders.
Conducted regression analysis and time-series forecasting to predict future energy demand and inform decision-making.
Implemented data quality control measures to ensure accuracy and consistency in data sets.
Assisted in regulatory compliance by generating reports and documentation related to energy usage.
Stayed updated on industry trends and best practices in data analytics and applied them to improve processes.
Collaborated with IT teams to ensure data security, integrity, and availability.
Developed a structure for handling sensitive unstructured data over 19 months within the West Midlands.
Managed large volume of data for the Home Office regarding Asylum applications using Microsoft Excel and MySQL for housing and transportation.
Created dashboards on Power BI for company stakeholders and various departments including Front office, operations etc.
Worked on multiple team projects ranging from creating KPI’s for budgeting and company net growth through Power BI.
Managed multiple Ad-hoc reports daily for updates and tracking of profile ID’s for asylum tracking locations on each process.
Communicated the data finding towards stakeholders in a transparent manner that was not opinionated, but data driven.
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