Aamish Samotra

- Develop and optimize LLM-driven text-to-SQL pipelines for the Easy Answers product, improving accuracy and enterprise query coverage across Snowflake and BigQuery datasets - Build and deploy NLP models for clause extraction and risk summarization in Contract AI, streamlining contract review workflows for legal and insurance clients - Enhance the semantic layer with ontology-linked entity recognition, enabling smarter retrieval and reasoning over structured and unstructured enterprise data

- Train and evaluate AI models on structured problem-solving and data analysis tasks to improve reliability and reasoning performance - Create benchmark prompts and review model outputs to identify failure modes and provide structured feedback for model improvement

- Analyzed large-scale academic and institutional datasets to uncover insights and support decision-making on student outcomes, program effectiveness, and operational efficiency - Collaborated with faculty and stakeholders to design data models and visualizations, transforming complex research findings into actionable business strategies

- Led a project focused on generating LLM-driven networking and UML diagrams from natural language descriptions, streamlining documentation workflows by 35% - Designed and deployed predictive analytics dashboards using Python, SQL, and Power BI, improving operational reporting by 40%

- Conducted advanced statistical analyses including logistic regression, survival analysis, and tree-based models to support business strategy initiatives - Engineered automated ETL workflows using SQL and visualized application KPIs via Tableau dashboards

- Developed predictive models and time-series forecasting solutions to support risk management and trading strategy - Increased forecast accuracy by 15% and optimized trading signals using advanced feature engineering and model validation techniques

- Led the development and deployment of analytics-driven user segmentation and engagement scoring systems using XGBoost, Random Forest, and Elastic Net models - Integrated CRM data with external sources, enhancing campaign targeting accuracy and resulting in a 150% increase in user acquisition

- Led a social media team of 50 by creating content and designing newsletters using Canva for different social media posts and increased the Instagram and Facebook reach of EIC handle by 35%. - Developed a stock market quiz using APIs and data sources during the BAZAAR event where 400 students participated from different colleges.

Fall semester: - Enterprise Database Management(A) - Data Storytelling(A+) - Predictive Analytics and Causal Inference(A-) - Machine Learning(A) - Business Practicum(Capstone with Bosch)(A+) Spring semester: - Big Data Infrastructures(A+) - Marketing Analytics(B) - Business Intelligence(A+) - Healthcare Analytics(A) - Business Practicum(Capstone with Bosch)(A+)

Coursework: Calculus, Probability and Statistics, Linear Algebra, Computer Programming(C++), Principles of Management, Entrepreneurship and Project Management