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Shashikant Gupta

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Shashikant Gupta

Data Analyst with 2+ years of experience in Python, SQL, Power BI, and Cloud Analytics

AvailableData visualization, business intelligence, and predictive modelingIndia$20/hr

About

Data Analyst with 2+ years of experience transforming complex datasets into strategic business insights across e-commerce, HR analytics, and production domains. Delivered end-to-end analytics solutions spanning pipeline automation, dashboard development, and predictive modeling that improved operational efficiency by up to 40%. Collaborates with cross-functional stakeholders to define KPIs, uncover revenue trends, and drive data-informed decisions using SQL, Python, Power BI, and cloud platforms.

Skills

PythonSQLPower BIPandasNumPyScikit-learnTableauBigQueryMatplotlibSeabornDAXPostgreSQL

Experience

Data Analyst Intern

OP Toons Production · Jan 2025 to Jul 2025

  • Built Python and SQL automation scripts to clean, transform, and validate 10,000+ raw records, reducing data inconsistencies by 25% and saving 8 hours of manual effort weekly.

  • Designed 5 interactive Power BI dashboards and Excel reports for leadership, accelerating KPI monitoring and strategic decision-making cycles by 40%.

  • Led weekly revenue and operations trend analysis, presenting findings to senior management that directly shaped quarterly business planning and resource allocation.

AI and ML Intern

CODERCOPS · Aug 2024 to Jan 2025

  • Developed and optimized machine learning models including Linear Regression and Random Forest using Scikit-learn, achieving over 85% prediction accuracy on production datasets.

  • Collaborated with a 5-person engineering team to deploy 4 validated ML modules into production, decreasing system runtime errors by 20%.

  • Created Python automation scripts for data processing workflows, eliminating 60% of redundant tasks and recovering 15 hours of engineering capacity per sprint.

Beta Tester

Datawars · Aug 2025 to Dec 2025

  • Evaluated 100+ data science projects on an EdTech platform, identifying 50+ critical defects that improved platform stability and user experience.

  • Validated Python and SQL analytical workflows for accuracy, documenting reproducible bugs with structured root cause analysis.

  • Accelerated bug resolution time by 20% through systematic defect reporting and close collaboration with the engineering team.

Projects

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