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Sarita
Data Analyst
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Competencies
Demonstrated experience with Excellent Communication.
Demonstrated experience with Active Listening.
Demonstrated experience with Written Communication.
Demonstrated experience with Interpersonal Communication.
Demonstrated experience with Analytical and Critical Thinking.
Education
Summary
Data Analyst open to new opportunities
Experience
Freelance AI Trainer
Training AI chatbots.. Validating AI responses across multiple dimensions.
Data Analyst
Led the analysis of customer behavior data to identify key trends, enabling targeted strategies that improved customer retention by 10%.. Utilized Python, Pandas, NumPy to process and clean large datasets, ensuring accuracy and relevance.. Partnered with cross-functional teams to design and automate data pipelines using Azure Data Factory, reducing data processing time by 25% and improving the efficiency of customer insights extraction.. Created and maintained interactive dashboards and reports in Power BI, visualizing critical business metrics such as customer satisfaction, churn rates, and financial forecasts, providing leadership with actionable insights to drive decision-making.. Conducted statistical analysis on large datasets with Python and SQL to uncover insights that influenced key business strategies, including marketing optimizations that led to a 15% increase in conversion rates.. Applied data preprocessing and feature selection techniques to ensure high-quality datasets for reporting and analysis, improving the accuracy and reliability of business intelligence tools.. Managed and optimized both structured and unstructured data in SQL and NoSQL databases (e.g., MongoDB, Snowflake), supporting in-depth analysis and cross-functional reporting across the organization.. Ensured data integrity and quality by performing validation checks and adhering to compliance standards, safeguarding the accuracy of reports used for decision-making.. Delivered data-driven insights to senior management and non-technical stakeholders through engaging visualizations in Power BI and Tableau, bridging the gap between data analysis and business strategies.. Collaborated with the data engineering team to integrate data pipelines and analytical models into the organization's data architecture, ensuring seamless access to real-time data for accurate reporting and decision-making.. Documented and standardized data analysis workflows, methodologies, and reporting processes, establishing best practices that ensure the scalability and maintainability of analytics solutions across the organization.
Data Analyst
Developed and deployed machine learning models in Python (Pandas, Scikit-learn) to predict energy savings, improving AI-driven recommendations for clean energy incentives.. Automated data processing workflows with ETL pipelines (SSIS, Azure Data Factory), streamlining data integration and reducing analysis time.. Built real-time dashboards using Power BI and Tableau, delivering key insights on energy project performance to support faster decision-making.. Applied machine learning algorithms (e.g., clustering, regression) to optimize contractor matching, improving project success and incentive distribution.. Collaborated in Agile teams to integrate AI models into clean energy workflows, enhancing operational efficiency and business outcomes.. Optimized AI models to continuously improve predictive accuracy and reduce operational costs by automating model retraining processes.. Used Natural Language Processing (NLP) to analyze text data from reports, extracting actionable insights to support strategic decisions.. Conducted exploratory data analysis (EDA) to identify trends, providing a foundation for machine learning model development and improving model outputs.. Ensured data quality across various data sources to support reliable AI models and enhance decision-making capabilities.