Mounika Piridi

Dynamic IT professional with over 10 years of experience orchestrating complex initiatives from ideation to delivery, specializing in software and database design, development, integration, implementation, and maintenance. Expertise in Business Intelligence (BI) and related database platforms, with a strong focus on leveraging machine learning within BI workflows to drive data-driven solutions that reduce costs and enhance scalability. Proven ability to align stakeholders and deliver GenAI-enhanced insights while creating self-service dashboards that incorporate anomaly detection and churn prediction, fostering operational excellence in the telecom and banking sectors. Committed to delivering innovative solutions that provide a competitive advantage in an ever-evolving technological landscape.

• Report Modernization, Designed and maintained a unified architecture strategy, transitioning the organization towards Modern Analytics Capabilities. Orchestrated a Data Strategy overhaul that reduced reporting volume by 66%, consolidated 5 BI platforms, and delivered $100K in direct cost savings while modernizing the analytical solutions.
• Operational Efficiency / Data Accessibility, Supported in Data Quality assurance and Dashboard Building of Customer behavior data on integration of 2 data systems into GCP which reduced data access issues and analysis from 3 days to 8 hours.
• Productivity, Developed a repository of reusable models (e.g., churn, Customer Base, Revenue) reducing duplicate work by 40%.

• Skilled in using Generative AI and ML integrations (e.g., BigQuery ML in Looker, Azure ML in Power BI) to derive predictive insights, automate anomaly detection, and support dashboard testing for business KPIs.
• Skilled in utilizing the SDLC to streamline ML-enhanced BI development cycles, minimizing technical debt through optimized Python/scikit-learn scripts embedded in BI Tools.
• Expertise in developing advanced analytics dashboards using LookML/Looker, Looker Studio, Power BI, Tableau, and Qlik Sense with ML accelerators, leveraging diverse visualizations to enhance insights and performance.
• Proficient in managing Big Data and relational systems such as GCP BigQuery, Oracle, MySQL, and SQL Server, with hands-on experience in ETL design, ML model deployment and query optimization.
• Adapt at conducting deep-dive analysis with ML clustering techniques to identify bottlenecks and delivering technical specifications that reduce development rework by 40%.
• Proved tracked record of bridging the gap between non-technical stakeholders and data engineering teams to deliver solutions that enhance operational efficiency.
• Skilled in Stakeholder Alignment, Risk Management and delivered Strategy Solutions with embedded ML time-series forecasting to improve operational experience.

• Collaborated with business and technical stakeholders to understand objectives, translate them into BI use cases with ML components, and define KPIs, BI Strategies and success metrics.
• Developed, optimized, and maintained Models, Explores, and dashboards to deliver trusted metrics and business logic on desired Database.
• Created efficient Advanced SQL queries using partitioning, clustering, and cost-optimization techniques to support scalable reporting and self-service analytics.
• Analyzed large datasets to uncover trends, performance drivers, and optimization opportunities across domains such as customer behavior and revenue.
• Built reusable analytical assets, including standardized reports, KPI frameworks, and self-service dashboards to scale insights across the organization.
• Defined project charters, prioritized backlogs, and aligned BI workstreams with product and business strategies.
• Assessed and integrated GenAI tools into BI workflows to accelerate analysis while ensuring accuracy, explainability, and governance.
• Identified and designed Generative AI/ML use cases across the analytics lifecycle (e.g., automated summarization via NLP, scenario generation with regression models, documentation, data preparation, and testing)