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Nikesh Raipalle
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Bengaluru, Karnataka, India
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Full-time jobs
Résumé
Jobs
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Data analyst InternCodSoftJan 2025 - Feb 2025 (2 months)• Conducted EDA on large datasets to uncover trends and support business decisions. • Boosted ML model performance by 15% using GridSearchCV and cross-validation. • Automated ETL pipelines in Python, reducing manual effort by 20%. • Performed clustering and time-series forecasting for optimization insights. • Designed interactive dashboards and reports for stakeholders.
Education
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- Data Analysis Using PythonIBMJul 2025data analysis
- SQL — SimpliLearnSimpliLearnMay 2024 - Jun 2024 (2 months)SQL
- Power BI — MicrosoftMicrosotAug 2023 - Sep 2023 (2 months)power bi
- Excel — MicrosoftMicrosotMay 2023 - Jul 2023 (3 months)excel
- DBEDon Bosco Institute Of Technology BengaluruDec 2022 - Aug 2026 (3 years 9 months)
Projects (professional or personal)
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- Banking Domain Data Analysis 2025BankJun 2025 - Jul 2025 (2 months)• Analyzed 50,000+ banking records to identify behavior paterns and potential churn risks. • Applied segmentation using clustering algorithms to customers by and
- Sales Analytics DashboardSales Marketing SolutionsMar 2025 - Apr 2025 (2 months)• Designed an interactive Sales Performance Dashboard using Power BI to analyze sales by region, category, and product. • Integrated SQL queries to extract and filter data from multiple tables for real-time reporting. • Enabled business stakeholders to track monthly KPIs like revenue, profit margin, and growth trends. • Improved visibility into underperforming regions and optimized marketing focus accordingly.
- Netflix Data AnalysisNetflixNov 2024 - Dec 2024 (2 months)• Conducted exploratory data analysis (EDA) on Netflix user data to identify top-rated content, watch-time trends, and genre popularity. • Cleaned and transformed raw data, handled null values, and generated summary statistics. • Visualized viewer behavior across countries and content categories to inform content strategy. • Delivered a clear, data-driven report highlighting binge paterns and seasonal viewer trends.