Dedicated and detail-oriented data analyst with over 3 years of experience in interpreting and analyzing complex data sets and expertise in creating dashboards using tools such as Tableau, Power BI, and MS Excel. Certifi…
Dedicated and detail-oriented data analyst with over 3 years of experience in interpreting and analyzing complex data sets and expertise in creating dashboards using tools such as Tableau, Power BI, and MS Excel. Certified SQL analyst proficient in Python, R, SQL, and a wide range of data visualization tools. Strong expertise in data analysis, statistical modelling, data-driven decision-making, data mining and machine learning with large data sets of structured and unstructured data, data Acquisition, data Validation, predictive modelling, data Visualization, and critical thinking.
Data Analysis and Platform Automation:
• Implemented Power Automate and Excel to automate the data analysis procedure, streamlining the survey cycle and reducing manual work by an average of 5 hours per survey lifecycle.
• Developed a Python automation script that streamlined the participant uploading process, reducing 7 hours of manual work per upload cycle.
Process Optimization and Collaboration:
• Contributed to process optimization efforts by proactively participating in discussions with the Qualtrics team to drive automation of the 360-Feedback platform, meticulously safeguarding sensitive employee data throughout the process.
• Collaborated with program managers to audit I-9 data, centralize data sources, and create dashboards to analyze missing I-9 data, improving accuracy by 15%.
Comprehensive Reporting and Stakeholder Engagement:
• Presented detailed reports summarizing survey findings, highlighting key trends and areas that helped increase overall employee satisfaction by 4%.
• Applied Tableau and Python (Matplotlib, SciPy) to conduct Exploratory Data Analysis, delivering valuable insights into critical business Key Performance Indicators (KPIs).
Implemented Power Automate and Excel to automate the data analysis procedure, streamlining the survey cycle and reducing manual work by an average of 5 hours per survey lifecycle.
Developed a Python automation script that streamlined the participant uploading process, reducing 7 hours of manual work per upload cycle.
Contributed to process optimization efforts by proactively participating in discussions with the Qualtrics team to drive automation of the 360-Feedback platform, meticulously safeguarding sensitive employee data throughout the process.
Collaborated with program managers to audit I-9 data, centralize data sources, and create dashboards to analyze missing I-9 data, improving accuracy by 15%.
Presented detailed reports summarizing survey findings, highlighting key trends and areas that helped increase overall employee satisfaction by 4%.
Applied Tableau and Python (Matplotlib, SciPy) to conduct Exploratory Data Analysis, delivering valuable insights into critical business Key Performance Indicators (KPIs).
Leveraged Python and SQL to meticulously clean, analyze, and present essential qualitative and quantitative data, actively contributing to executive leadership decision-making processes and addressing critical issues such as turnover.
Collaborated with IT to develop data models and automate Power BI dashboards, delivering actionable insights at scale and leading to a 30% improvement in report dissemination efficiency.
Analyzed vital business metrics and delivered insight-driven reports to business partners and senior executives to influence data-driven decisions.
Developed predictive models and scorecards using a wide range of descriptive and inferential statistics to identify talent solutions for the business.
Implemented a predictive model, resulting in a 10% increase in sales through targeted marketing efforts, demonstrating the impact of data-driven decision-making.
Performed data collection, data cleaning, feature engineering (profound feature synthesis), validation, visualization, report findings, and developed strategic data uses.
Developed and maintained automated dashboards and reports using Tableau, resulting in a 20% reduction in reporting time.
Enhanced database efficiency by 30% through SQL query optimization on MS SQL Server and MS Access, enabling quicker data retrieval and analysis.
Implemented and followed Agile development methodology within the cross-functional team and acted as a liaison between the business user group and the technical team.
Collaborated with cross-functional teams to identify KPIs, implementing data-driven strategies that led to a 25% increase in operational efficiency within six months.
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