A
Akshay Vadnala
About
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Karnataka, India
Résumé
Jobs
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Data Analytics AnalystLabmentixFeb 2025 - Apr 2025 (3 months)• Conducted data validation and cleansing, ensuring accuracy and reliability of large datasets. • Performed Exploratory Data Analysis (EDA) on large datasets using Pandas, NumPy, and Matplotlib to uncover key insights and trends. • Created data visualizations using Panda's plotting, Seaborn, and Matplotlib to support business decision-making. • Processed and cleaned CSV datasets to ensure data quality and consistency for accurate analysis. • Conducted trend analysis, correlation studies, and summary statistics to drive data-driven strategies.- Data AnalystElevate LabsJun 2024 - Dec 2024 (7 months)• Conducted data cleaning, transformation, and exploratory data analysis (EDA) on large datasets from YouTube Trending and Shark Tank India/US using Python (Pandas, Matplotlib, Seaborn). • Performed sentiment analysis on video titles and tags to uncover viewer preferences and emotional tone across global regions. • Utilized SQL for querying, creating views, optimizing queries, and ranking video categories by average views and engagement metrics. • Designed and developed interactive dashboards in Power BI and Tableau, showcasing industry trends, regional insights, and time-series visualizations. • Analysed startup investment patterns, including founder profiles, deal stages, and investor behaviours to identify success factors.
Education
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- PPower BI Data AnalystMay 2025
- GBachelor of TechnologyGuru Nanak institutions technical campusAug 2019 - Sep 2023 (4 years 2 months)
Projects (professional or personal)
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- IInsurance Data AnalysisApr 2025Objective: Optimize insurance claims processing and improve data security using Power BI. • Reduced claims processing time by 40% and implemented Role-Based Security (RLS) for enhanced data protection. • Improved data refresh speed by 30%, ensuring faster access to real-time insights. • Developed dashboards using slicers, donut charts, and matrix views, improving claims tracking accuracy by 35%.
- UUPI Transactional AnalysisMar 2025Objective: Enhance financial data insights using Power BI. • Reduced data retrieval time by 40%, improving overall efficiency in financial reporting. • Applied synchronized filters for 45% higher data consistency across reports. • Used Selection Pane & Bookmarks to optimize dashboard navigation, boosting engagement by 30%.
- SSales Data AnalysisMar 2025Objective: Automated sales reporting and improved business insights using Power BI & SQL. • Automated sales reporting, reducing manual effort by 35% and improving insight generation by 30%. • Designed interactive dashboards with dynamic slicers, scatter plots, and maps, enhancing decision-making by 40%. • Implemented DAX measures and Edit Interaction to optimize data filtering and visualization.