Naresh B

Senior AI Analyst

DATA • Período integral

Feb 2021 - Present • 5 yrs 4 mos

Designed and maintained robust data ingestion pipelines using Apache Airflow, integrating raw data from Google Cloud Storage (GCS) to BigQuery, enabling efficient, scalable data access for analytics and AI models. • Conducted in-depth Exploratory Data Analysis (EDA) using Python (Pandas, NumPy) and SQL to identify anomalies, trends, and performance drivers across client datasets. • Applied data wrangling, cleansing, and preprocessing techniques to ensure high-quality inputs for machine learning models and business intelligence dashboards. Developed predictive sales models for new product launches by analyzing performance of “sister” products. • Built interactive Power BI and Tableau dashboards and Excel-based reporting tools to visualize model outcomes, sales trends, and forecasting accuracy for stakeholders. • Partnered with data scientists and engineers to validate AI model outputs, translate complex analytical insights into business recommendations, and ensure seamless AI integration into client operations. • Automated QC and validation checks on pricing and cost data through SQL-based validation layers, enhancing data integrity and reducing manual reporting efforts by 30%. • Ensured continuous improvement in AI model performance and data reliability by monitoring key metrics, analyzing drift, and implementing corrective measures.