Data Collection and Cleaning:1) Independently gathered and organized data from various sources, ensuring data accuracy and completeness while adhering to data governance policies.2) Proficient in using SQL queries to extract and manipulate datasets, including filtering, joining tables, and aggregating data to prepare it for analysis.3) Implemented data cleaning and preprocessing techniques in Python using Pandas and NumPy libraries, handling missing values, and outlier detection… Show more Data Collection and Cleaning:1) Independently gathered and organized data from various sources, ensuring data accuracy and completeness while adhering to data governance policies.2) Proficient in using SQL queries to extract and manipulate datasets, including filtering, joining tables, and aggregating data to prepare it for analysis.3) Implemented data cleaning and preprocessing techniques in Python using Pandas and NumPy libraries, handling missing values, and outlier detection to ensure data accuracy and consistency.Data Visualization:1) Created visually appealing and informative dashboards using tools like Power BI, incorporating advanced visualization techniques such as interactive charts, slicers, and drill-down functionality.2) Communicated complex insights effectively to stakeholders through clear and concise visualizations, ensuring key metrics and trends are easily understandable and actionable.3) Explored and implemented custom visualization solutions using Python libraries like Matplotlib and Seaborn to enhance the presentation of analytical findings.Database Management:1) Managed databases efficiently, including performing data manipulation tasks, database optimization, and ensuring data integrity and consistency across datasets.2) Developed proficiency in writing complex SQL queries, including CTE, window functions to extract and transform data for analysis purposes.Process Improvement:1) Proactively identified opportunities for process improvement and automation within data analysis workflows, implementing solutions to streamline repetitive tasks and increase efficiency.2) Participated in training programs, workshops, and online courses to enhance technical skills, stay updated on emerging trends and technologies in data analytics, and advance to the next level in the data analyst career path. Show less

1) Applied SQL to analyze HR metrics and trends, uncovering insights and patterns related to employee engagement, retention, turnover, and other key HR metrics. 2) Created visually appealing and informative reports with tools Power BI, Excel to present HR data and insights to stakeholders.3) Presented findings to senior management and provided recommendations through engaging presentations, insightful reports, and interactive meetings.4) Conducted ongoing analysis using Power BI and… Show more 1) Applied SQL to analyze HR metrics and trends, uncovering insights and patterns related to employee engagement, retention, turnover, and other key HR metrics. 2) Created visually appealing and informative reports with tools Power BI, Excel to present HR data and insights to stakeholders.3) Presented findings to senior management and provided recommendations through engaging presentations, insightful reports, and interactive meetings.4) Conducted ongoing analysis using Power BI and SQL, streamlining processes and reducing manual work by 2 hours and increasing workflow efficiency. Show less

1) Proficient in data management, error identification, and resolution tomaintain data integrity.2) Skilled in uploading cleaned data into Oracle tools, enhancingdatabase performance.3) Experienced in troubleshooting and resolving data-related issues tosupport business efficiency.