Surendra Kumar Nellore

An accomplished professional with over 4 years of experience in data engineering and analytics using Python, GCP (Google Cloud Platform), Big Query, Spotfire, and machine learning to create data-driven applications. Proficiency in execution of end-to-end 5 have provided with full accuracy and timeliness. Successful project migration into the cloud environment from HDP to GCP CLOUD project creation from zero, including all the activities until pipeline configuration and deployment. Familiar with data visualization tools like Power BI, Tableau, and Spotfire; predictive analysis and statistical modelling for actionable insights. Strong programming and data operation skills by working with NumPy, Pandas, Scikit-learn, Hive, SQL, and Big Query for data transformation, query optimization, and high-end analytics.

Capstone Project:

Developed a machine learning model using binary classification techniques to predict transaction credibility as genuine or fraudulent. Conducted data preprocessing, visualization, and multivariate analysis to explore key features and validate statistical assumptions. Built, validated, and deployed classification models utilizing Python, NumPy, Pandas, and Scikit-learn for accurate fraud detection.

• English
• Hindi

• Date of Birth: 07/03/1997
• Gender: Male
• Nationality: Indian

D4D, 2024-06-01 to Present Polaire, 2024-06-01 to Present FGZ, 2024-01-01 to Present Datasc, 2022-06-01 to 2023-12-31 RDW (Renault Digital Watch), 2021-06-01 to 2022-05-31 Capstone Project, Developed a machine learning model using binary classification techniques to predict transaction credibility as genuine or fraudulent. Conducted data preprocessing, visualization, and multivariate analysis to explore key features and validate statistical assumptions. Built, validated, and deployed classification models utilizing Python, NumPy, Pandas, and Scikit-learn for accurate fraud detection.

• English
• Hindi