- At Truss Network, I played a pivotal role in supporting data infrastructure and advancing machine learning initiatives. My work focused on developing and optimizing data pipelines and building machine learning models that enhanced the company's AI-driven capabilities, aimed at merging data for co-founder- Model Development & Deployment: Designed and deployed machine learning models using scikit-learn and TensorFlow improving the startup's ability to predict key metrics and drive business decisions.- Natural Language Processing (NLP): Applied NLP techniques to analyze and extract insights from unstructured data sources, enriching data merging processes for co-founders.- Model Optimization: Fine-tuned models by implementing feature engineering, hyperparameter tuning, and cross-validation, increasing model accuracy by 8% over initial deployments.- Automation of Predictions: Automated prediction workflows for real-time data analysis, improving operational efficiency by reducing manual intervention by 9%Key Achievements:- Increased model accuracy by 12% significantly enhancing the predictive capabilities of business strategies.- Reduced data processing time by 7% by streamlining data integration workflows.- Led the integration of AI-driven data merging tools, improving the startup's ability to merge and analyze founder data in real-time.