Experienced Data Analyst skilled in SQL querying, database management, and data visualization tools such as Tableau and Power BI. Proficient in development and analysis platforms like Visual Studio Code, PyCharm, Jupyter…
Experienced Data Analyst skilled in SQL querying, database management, and data visualization tools such as Tableau and Power BI. Proficient in development and analysis platforms like Visual Studio Code, PyCharm, Jupyter Notebook, and R Studio, I specialize in deriving actionable insights from complex datasets. With a strong foundation in ensuring data integrity across MySQL, Oracle, SAS, and SQL Server environments, I handle large datasets with precision and develop solution-driven views for comprehensive data analysis.
In addition to my technical prowess, I excel in implementing machine learning algorithms like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and K-means Clustering for predictive modeling. Committed to fostering collaborative environments, I leverage strong communication and interpersonal skills to facilitate successful teamwork. Dedicated to continuous learning and professional growth, I stay updated on emerging technologies and industry trends to deliver innovative solutions that enhance organizational efficiency. With a proactive problem-solving approach and a passion for continuous improvement, I am prepared to drive meaningful contributions to any data-driven organization.
• Collaborated with stakeholders to understand business needs and translate them into data solutions using SQL, Python, R, Tableau and Power BI.
• Utilized SQL and Python to extract, transform, and load data from various sources for analysis.
• Conducted data profiling, cleansing and exploratory data analysis (EDA) activities using Python and R to identify trends and patterns.
• Implemented machine learning algorithms such as linear regression, logistic regression, decision trees, and random forests using Python and R.
• Developed predictive models to forecast sales and customer behaviour using machine learning techniques.
• Utilized Tableau and Power BI for designing and maintaining dashboards to monitor key performance indicators (KPIs) and to track business metrics.
• Supported ad-hoc data analysis requests and troubleshooting efforts as needed.
• Created and maintained documentation for database schemas, data dictionaries, and ETL processes.
• Communicated insights and findings with stakeholders through reports, presentations, and visualizations.
• Stayed updated on the latest developments in SQL, Python, R, Tableau, Power BI, and machine learning technologies.
Collaborated with stakeholders to understand business needs and translate them into data solutions using SQL, Python, R, Tableau and Power BI.
Utilized SQL and Python to extract, transform, and load data from various sources for analysis.
Conducted data profiling, cleansing and exploratory data analysis (EDA) activities using Python and R to identify trends and patterns.
Implemented machine learning algorithms such as linear regression, logistic regression, decision trees, and random forests using Python and R.
Developed predictive models to forecast sales and customer behaviour using machine learning techniques.
Utilized Tableau and Power BI for designing and maintaining dashboards to monitor key performance indicators (KPIs) and to track business metrics.
Supported ad-hoc data analysis requests and troubleshooting efforts as needed.
Created and maintained documentation for database schemas, data dictionaries, and ETL processes.
Communicated insights and findings with stakeholders through reports, presentations, and visualizations.
Stayed updated on the latest developments in SQL, Python, R, Tableau, Power BI, and machine learning technologies.
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