Mrinalini Sharma Email & Phone Number

California, United States

Oakland, California, United States

Oakland, California, United States

• Led Fivetran Engineering’s first Data Science project to programmatically categorize large volumes of unstructured user-facing error logs (90k daily distinct messages), measure the error accuracy, and enable.
• Implemented statistical anomaly detection algorithms, in collaboration with Pricing Engineering and Product teams, to distinguish software bugs from fraudulent activity, and reported on potential billing impact for.
• Built a product observability dashboard to monitor system reliability and enabled engineering teams to self-service in identification and root-cause analysis of SLA breach, resulting in a notable reduction of.

Oakland, California, United States

• Built time series models to educate executive leadership on the potential future bloat in production codebase’s feature flag count, and informed a technical debt cleanup policy to rollout all new flags within six.

Oakland, California, United States

• Created robust end-to-end data ingestion, analysis, and reporting pipelines to automate data science workflows.
• Defined success metrics for gas energy efficiency projects across the commercial and government institutional programs, establishing kW Engineering as the technical leader in the Measurement, Verification, and.
• Founded kW Engineering’s data literacy program, delivered workshops on data preparation best practices, regression analysis, data visualization and storytelling for internal and external clients.
• Led the statistical modeling team to develop techniques for quantifying the true impact of energy saving projects in data-poor environments, ensuring fair and equitable ROI for all stakeholders.
• Guided strategic decisions on project portfolios by scaling up analysis workflows and training peers in statistical modeling and data visualization.

San Francisco Bay Area

• Developed an open-source energy data analytics tool (nmecr) to simplify data-based calculation of savings in building energy efficiency projects. Implementing the package led to an average time reduction of 70%.
• Built a web application (in R-shiny) to accompany the package for non-technical peers and external customers.
• Engaged with facility managers, utility program managers, and senior leadership to identify and gather data streams for statistical model building and prediction of energy consumption in commercial and industrial.
• Published a comprehensive study evaluating advanced Measured and Verification (M&V) regression algorithms for predicting peak energy loads in commercial buildings, using data from 453 meters and over 1,100 peak load.

Cincinnati Area, OH

• Trained colleagues in the application of linear regression on time-series data, multivariate regression, and residual analysis. This led the entire company to adopt advanced data modeling approaches, cutting new hire.
• Developed best practices for data visualization using pre-attentive attributes, Gestalt’s principles, and visualization ethics to enhance stakeholder engagement
• Analyzed utility bills and high-frequency energy data to establish energy use baselines, stocks, and flows within industrial facilities. Assisted with efforts to optimize production operations while maintaining.
• Collaborated with the software development team to design, develop, and test HVAC and lighting optimization algorithms for an in-house analytics software application.

Greater New York City Area

• Streamlined energy billing analysis processes company-wide, resulting in an estimated time savings of 20hrs/week
• Conducted ASHRAE Level I and II energy audits for multi-family residential facilities to establish energy consumption baselines, benchmark energy performance, identify and quantify energy cost reduction opportunities.

Greater Philadelphia Area

• Reconciled the discrepancies in gas flow accounting and reduced the associated monetary losses by 40% by identifying and analyzing flow measurement errors for a large biogas cogeneration plant.
• Analyzed buildings' energy consumption profiles and control systems to identify potential opportunities for cost savings. Developed prioritized list of opportunities based on cost-benefit analyses and inputs from the.

Master'S Degree, Information And Data Science

Activities and Societies: Leadership Development Program for Gender EquityRelevant Courses: - Research Design and Applications for Data.

Bachelor Of Science, Chemical Engineering

Activities and Societies: Phi Eta Sigma, Lead Student Ambassador (Knovel), Christian Appalachian ProjectMinor: Engineering Management