As a versatile Data Scientist and AI Engineer with a strong foundation in Computer Engineering, I have successfully delivered high-impact data solutions across diverse sectors, including Fintech, Telecommunications, Manufacturing, and Cybersecurity. My career is defined by a unique ability to adapt to any domain whether it’s analyzing credit risk for financial institutions, optimizing sales funnels for telecom giants, or building predictive maintenance systems for industrial automation.
I specialize in the end-to-end data lifecycle. My experience ranges from extracting raw data (SQL/APIs/IoT) and architecting robust pipelines with Apache Airflow, to deploying scalable Machine Learning models on AWS Cloud and building intuitive dashboards for C-level decision making. I don't just build models; I build automated systems that solve real business problems.
Some of my key contributions include developing Lead Scoring engines that boosted sales conversion by 20%, designing real-time anomaly detection systems that minimized operational downtime, and creating Credit Risk models to enhance financial stability. I bridge the gap between complex technical infrastructure (Server/MLOps) and strategic business goals, ensuring that every line of code translates into tangible ROI.
Technically, I am proficient in Python, SQL, TensorFlow, and PyTorch, with hands-on expertise in MLOps (Docker, CI/CD) and Data Engineering. I am a proactive problem solver and a collaborative leader who thrives in dynamic environments, ready to help any organization regardless of industry harness the full power of their data.
End-to-End Data & ML Engineering: From raw data ingestion and cleaning to model deployment and monitoring (MLOps).
Business Intelligence & Predictive Analytics: Transforming metrics into strategies (Sales Optimization, Risk Assessment, Forecasting).
Scalable Infrastructure & Cloud: Expertise in AWS Ecosystem, Server Management, and Pipeline Orchestration (Airflow).
Cross-Domain Adaptability: Proven track record of quick adaptation and delivery in Manufacturing, Finance, and Tech environments.
