Data analyst
Vertex Medical Pvt Ltd
Total years of experience :6 years, 0 Months
Country: Pakistan
As a Data Analyst, my primary responsibility was eficiently and accurately analyzing large volumes of data. I performed various tasks such as:
1. Data Gathering: Utilize tools like web scraping software, and SQL queries to gather relevant data from various sources. 2. Data Cleaning and Preprocessing: Use Excel and Python to clean and transform raw data into a usable format. Identify and handle missing data, outliers, and inconsistencies. 3. Data Analysis and Visualization: Use tools like Excel, Tableau, or Power BI to create visualizations, charts, and reports to communicate findings efectively. 4. Data Modeling and Predictive Analysis: Develop and implement analytical models using R and Python to conduct predictive analysis and build statistical models to forecast trends, identify patterns, and make data-driven predictions. 5. Data Reporting and Presentation: Prepare reports, dashboards, and presentations to stakeholders, summarizing key findings and insights.
City: Swat Country: Pakistan
As a Junior Data Analyst, my primary responsibility was to eficiently and accurately input and manage large volumes of data. I performed various tasks such as:
1. Data Collection: Gather and compile data from various sources, including databases, spreadsheets, and external providers. 2. Data Preprocessing: Prepare data for analysis by cleaning, transforming, and structuring it to ensure accuracy and consistency. 3. Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in the data. Utilize statistical methods and data visualization tools to present findings. 4. Reporting: Generate regular ad-hoc reports that communicate data-driven insights to relevant stakeholders. Create visualizations, charts, and dashboards to convey information efectively. 5. Data Interpretation: Interpret data and provide actionable insights and recommendations to support decision-making processes within the organization. 6. Data Validation: Ensure data integrity and accuracy by conducting validation checks and audits. Collaborate with teams to resolve data-related issues.
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