Dedicated and inventive Data Science and Data Engineering professional with an unwavering commitment to continuous learning. I am enthusiastic about contributing my expertise and collaborative skills to extract actionabl…
Dedicated and inventive Data Science and Data Engineering professional with an unwavering commitment to continuous learning. I am enthusiastic about contributing my expertise and collaborative skills to extract actionable insights from data, elevating business efficiency, achieving strategic objectives, and driving profit growth. Actively pursuing a challenging and career developing role within a team of analytical-minded professionals.
Employ data/big data tools and technologies, including Python, Spark, and SQL, to process, analyse, and derive insights from large volumes of structured and unstructured data. Design and implement data models, ETL processes, and data pipelines to ensure efficient extraction, transformation, and loading of data from diverse sources. Develop and maintain visually compelling data visualisations, reports, and dashboards, using Splunk, Power BI, EazyBI, Tableau to effectively communicate key findings and actionable insights to stakeholders. Apply advanced statistical analysis, predictive modeling, and machine learning techniques to uncover patterns, trends, and opportunities within complex datasets. Identify and address data quality issues, perform data cleansing, and ensure data integrity throughout the analytics process. Stay abreast of emerging data/big data technologies, tools, and industry best practices, and proactively propose innovative solutions to enhance data analysis processes. Creating Documentation on Confluence by importing the roadmap from JIRA Boards (Kanban, SCRUM) and maintaining it up to date.
Acquire data from primary or secondary data sources and maintain databases/data systems Interpret data, analyze results using statistical techniques and provide ongoing reports Locate and define new process improvement opportunities Preparing reports for the management stating trends, patterns, and predictions using relevant data Evaluating changes and updates to source production systems. Providing technical expertise in data storage structures, data mining, and data cleansing.
Collecting and interpreting data Managing master data, including creation, updates, and deletion Supporting initiatives for data integrity and normalization. Generating reports from single or multiple systems Troubleshooting the reporting database environment and reports Identifying patterns and trends in data sets etc...
Acquire data from primary or secondary data sources and maintain databases/data systems.
Interpret data, analyze results using statistical techniques and provide ongoing reports.
Locate and define new process improvement opportunities.
Preparing reports for the management stating trends, patterns, and predictions using relevant data.
Evaluating changes and updates to source production systems.
Providing technical expertise in data storage structures, data mining, and data cleansing.
Collecting and interpreting data.
Managing master data, including creation, updates, and deletion.
Supporting initiatives for data integrity and normalization.
Generating reports from single or multiple systems.
Troubleshooting the reporting database environment and reports.
Identifying patterns and trends in data sets etc...
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