Sakshi Kushwaha

Spearheaded data analysis initiatives to enhance reporting efficiency and provide critical insights for financial decision-making within a hybrid work environment.

• Developed dynamic, interactive dashboards using Power BI and Excel to track key performance indicators (KPIs) such as monthly revenue, cost optimization, and project timelines, improving reporting speed by 40%.
• Automated routine reporting workflows with Python (Pandas, NumPy) and SQL, reducing manual data preparation time by 60% and enhancing data accuracy.
• Designed and deployed insightful visualizations for financial audits, enabling clearer interpretation of complex financial data and supporting strategic decisions.

Contributed to web application development, focusing on secure user authentication and improved user experience for an educational platform in a remote setting.

• Developed a secure, responsive login and registration page using HTML5, CSS3, JavaScript, and Bootstrap, significantly enhancing user authentication and overall experience for an educational website.
• Integrated robust form validation and session management protocols, ensuring data privacy and elevating security standards, which led to a 30% reduction in login errors.

Built a predictive machine learning pipeline to identify fraudulent credit card transactions using imbalanced historical data. • Performed extensive data preprocessing and feature engineering with pandas and scikit-learn to improve model performance. • Trained and evaluated multiple classification algorithms including Logistic Regression, Random Forest, and XGBoost, achieving an accuracy of 95% and significantly improving fraud detection rates. • Applied SMOTE to handle class imbalance