Sri Sai Venkata Ramana Anish Vissapragada

Accomplished professional with expertise in Azure DevOps, Terraform automation, and cloud infrastructure. Demonstrates a strong ability to develop data pipelines and manage ETL processes, ensuring efficient real-time analytics. Skilled in programme development with a focus on enhancing operational efficiency and driving innovation. Committed to leveraging technical skills to support organisational growth and achieve strategic objectives.

• Data Science Programming Bootcamp, UpGrad, 09/2022
• Google Digital Garage: Fundamentals of Digital Marketing, 03/2021
• Introduction to Cybersecurity, Cisco Networking Academy, 03/2021

Loan Default Prediction (Banking), 1/2022

• Analyzed loan data to identify Client segments at risk of payment defaults using data visualization and pattern recognition.

Blockbuster Movie Insishts (Entertainment), 12/2022

• Analyzed top-rated movies to recommend optimal genres, cast, and directors for RSVP Movies.

Bike Demand Forecasting (Motorcycle Rentals), 01/2023

• Performed EDA, feature selection (RFE, VIF,and regression modeling to predict demand trends for Boom Bikes during COVID losses.

Lead Scoring Model (EdTech), 03/2023

• Built a logistic regression model to identify high-conversion leads for x Education using statistical validation techniques.

NYC Taxi Data Analysis (ransportation), 04/2023

• Processed NyC tax trip data via Hadoop 8 AWS.Ingested data into RDS & HBase, performed MapReduce analytics with MRJob, and visualized trip trends, revenue, and KPIs.

Banking ETL Pipeline, 06/2023

• Developed a ful ETL workflow using PySpark on AWS. Created dimension/fact tables, loaded to S3/Redshift, and ran complex SQL queries for insights.

Retail Stream Analytics,08/2023

• Built real-time analytics pipeline. Streamed retail data via Kafka, performed window-based aggregations with Spark, and output KPls in structured ISON format.