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Data Analyst
Neeyamo Enterprise Solutions Private Limited•  August 2021 - Present
Roles and Responsibilities: Data Analysis & Reporting: Leveraged Python, SQL, and Power BI to extract, clean, and analyze large datasets, transforming raw data into actionable insights and strategic reports. Dashboard Development: Created interactive dashboards and visualizations in Power BI to track key performance indicators (KPIs) and support data-driven decision-making across departments. Data Pipeline Management: Designed and optimized data pipelines, ensuring seamless data flow and integration from multiple sources to facilitate accurate reporting and real-time analytics. Stakeholder Collaboration: Worked closely with cross-functional teams to understand business requirements, define data needs, and deliver solutions that align with organizational goals. Data Quality Assurance: Conducted regular data validation and accuracy checks to maintain the integrity of datasets and improve data quality standards. Skills: Programming & Scripting: Proficient in Python, with hands-on experience in data manipulation, analysis, and visualization using libraries like Pandas, NumPy, and Matplotlib. Business Intelligence: Skilled in Power BI, with experience designing dynamic dashboards, custom reports, and data visualizations to support decision-making. Database Management: Advanced SQL knowledge, including writing complex queries, optimizing databases, and managing large data sets. Foundational Data Science Knowledge: Understanding of essential data science techniques and tools, including data preprocessing, statistical analysis, and basic machine learning concepts.
Education
KLE's BK BCA College,Chikodi
Computer Science, BCA•  June 2016 - May 2019•  Percentage: 72.84
Gained comprehensive knowledge in Python, SQL, and analytical techniques, alongside developing strong interpersonal skills. The curriculum included training in data analysis, database management, and practical applications to build a well-rounded foundation in data science
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