Adithya K M Email & Phone Number

"As a Data Analyst in the data analyst team, responsibilities include assisting with data collection, cleaning, and analysis tasks under senior analysts' guidance. Furthermore, I explained how Ireduce time while doing each work " Data Management (35%): Automated Data Collection: Reduced manual effort by 20% usingtools like Python scripts or web scraping tools and using ETL (Extract, Transform, Load) toolsthat streamline the process of collecting and consolidating data from multiple sources. Advanced-Data Cleaning Techniques: Leverage data-cleaning libraries and frameworks likePandas and Develop custom scripts or functions to automate repetitive cleaning tasks, such ashandling missing values, removing duplicates, or standardizing data formats. in the datacleaning process reduced the time by 20%Analysis (35%): Efficient Analysis Methods: Saved 20% of analysis time with tools like NumPy, pandas, and sci-kit-learn in Python. Visualization and Reporting (20%): Templates and Standardized Formats: Cut creation time by20% with tools like matplotlib or Seaborn, Power BI, and TableauReporting Tools Automated report generation, saving 20% of the time by using tools like PowerBI, Tableau, and Looker StudioDocumentation and Communication (10%): Documentation Templates and StandardizedFormats: Reduced formatting time by 20% using tools like Microsoft Word templates. Communication Tools: Decreased response times, saving 20% of the time with tools like MicrosoftTeams

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  Kuvempu University

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