Jul 2022 – Jun 2023 · 11 mos · Indore, Madhya Pradesh, India · On-site

• Spearheaded a comprehensive project to integrate Microsoft Copilot for automated report generation, resulting in a 25% improvement in decision-making accuracy for banking clients by streamlining data synthesis and enabling real-time insights that supported strategic financial planning and risk assessment.
• Optimized database queries leveraging Python and SQL, extracting actionable insights from over 15,000 customer records, which reduced processing time by 18% and enhanced overall system performance, allowing teams to focus on higher-value analytical tasks and improving operational throughput.
• Integrated Azure AI and TensorFlow frameworks for advanced predictive modeling, identifying fraud patterns and elevating user experience by 22% through the development of streamlined databases that incorporated real-time data processing and anomaly detection algorithms.
• Designed and developed scalable database architectures utilizing machine learning clustering techniques to forecast market trends, achieving a 20% boost in operational efficiency by enabling proactive resource allocation and data-driven forecasting across multiple business units.
• Implemented rigorous ethical practices, including advanced bias detection methodologies, to ensure regulatory compliance and fairness in AI models, which increased project adoption rates by 15% by building trust among stakeholders and mitigating potential risks in deployment.
• Constructed interactive dashboards in Tableau, facilitating enhanced data accuracy by 30% for non-technical teams through intuitive visualizations that supported collaborative decision-making and simplified complex datasets into accessible, insightful reports.

Jul 2021 – Jun 2022 · 11 mos · Indore, Madhya Pradesh, India · On-site

• Conducted thorough data cleaning and statistical analysis using Python, automating ETL processes to reduce processing time by 20% for encrypted datasets, thereby ensuring data integrity and enabling faster turnaround for analytical projects in secure environments.
• Optimized the Order Management System for a prominent skincare brand by crafting efficient SQL queries, identifying key operational efficiencies and cutting order processing time by 15%, which directly contributed to improved customer satisfaction and inventory management.
• Designed robust, scalable databases tailored for high-volume transactions, analyzing over 10,000 records to facilitate data-driven decisions that enhanced system reliability and supported strategic initiatives across e-commerce and retail operations.
• Managed comprehensive data operations for banking clients utilizing Big Data tools, streamlining financial databases and improving user experience by 20% through the implementation of optimized data flows and integration strategies that reduced latency.
• Created dynamic interactive reports and dashboards in Tableau, attaining 30% higher accuracy in data visualization by incorporating user feedback and advanced filtering techniques, which empowered stakeholders to derive meaningful insights more effectively.
• Leveraged SQL for sophisticated reporting tasks, transforming raw data into actionable intelligence and enhancing collection accuracy by 10%, while collaborating with cross-functional teams to align outputs with business objectives and compliance standards.