Dec 2021 – Apr 2025 · 3 yrs 4 mos · Nagpur, Maharashtra, India · Hybrid

• Developed and implemented data-driven insights using advanced statistical methods to increase sales growth by 15% and inform business decisions.
• Ensured data quality and readiness for analysis by optimizing data pipelines with a 10% reduction in processing time.
• Deployed data visualization tools (Python, Matplotlib, Seaborn, and Tableau) to drive data-driven decisions and amplify business understanding by 25%.
• Utilized SQL skills to extract and analyze data from large RDBMS platforms, improving data-driven decision making.
• Built predictive models using Linear Regression, Logistic Regression, and Decision Trees, improving forecasting and classification accuracy.
• Developed and deployed high-performing machine learning models using Python libraries like Scikit-learn and Statsmodels, yielding improved R-squared value to 81%.
• Improved model accuracy by 10% through rigorous evaluation and refinement of models, leveraging data analysis and statistical techniques to enhance predictive power.
• Leveraged Data Science to tackle the challenge of stagnant growth, yielding a 25% increase in revenue in the FMCG sector.
• Created high-impact dashboards using Tableau and Excel to address reporting challenges, improving insights by 45%.