marklechmanik

Supporting a biotech startup in developing generative AI transformer models to identify protein binding sites and guide R&D strategy. Contributed to algorithmic optimization, exploratory analysis, and tools that improve model interpretability and usability for both scientists and leadership. • Extended model generalization across a broader range of proteins while maintaining predictive accuracy. • Built a dynamic visualization framework to display AI/transformer model outputs under varying inputs, enabling faster interpretation and decision-making. • Designed supporting metrics and visuals to communicate and evaluate model performance effectively across technical and non-technical stakeholders.

Contributed to CDC-funded research focused on hybrid forecasting of influenza hospitalizations and completed an independent AI project using the same data. Applied Python, R, and SQL for large-scale analysis and predictive modeling, leveraging cloud-based tools (Azure, Hadoop, Spark). • Developed and tested chimeric ensemble models blending computational forecasts with human judgment distributions to influence early adoption of hybrid approaches in pandemic planning. • Implemented and evaluated RNN and LSTM AI models using TensorFlow to forecast peak timing and magnitude. • Leveraged WHAM machine learning model with bootstrapping to derive high-confidence density estimates from biased molecular simulations, reducing statistical error in protein binding studies.

Analyzed large-scale company data using SQL and Tableau to deliver executive-facing dashboards and performance insights. Partnered with stakeholders to optimize KPI tracking, enhance dashboard interpretation, and support strategic decision-making. • Designed and rolled out a KPI-based bonus assessment tool with business stakeholders, improving incentive alignment for 200+ employees across the enterprise. • Re-engineered SQL workflows to support evolving data sources and new business logic, improving dashboard accuracy, flexibility, and maintainability. • Delivered actionable performance metrics to the CEO and Board of Directors, directly influencing enterprise strategy.

Led national compliance initiatives across cross-functional teams, driving operational efficiency, process standardization, and adoption of new procedures. Partnered with legal, security, and technology stakeholders to align strategic objectives with actionable improvements. • Optimized a compliance monitoring system, reducing report generation time by 80%. • Managed planning and execution of a 5,000-agent company expo, coordinating cross-functional teams and executive engagement. • Designed and analyzed a national survey to enhance regional office operations and standardize workflows.

Provided tailored insurance solutions and advised clients on risk management, strengthening relationships and improving long-term client retention. Supported agency operations through workflow enhancements and communication strategies. • Implemented ”eAgent” software to improve cross-quoting efficiency and sales opportunities. • Led targeted advertising campaigns that contributed to client acquisition and revenue growth. • Strengthened policy renewal rates by personalizing client outreach and improving engagement strategies.