Bhanu Prakash Reddy Konepalli

SDE - Data Scientist
Bengaluru, IN.

About

Work

Siemens Healthineers
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Data Scientist

Highlights

CT Utilization Dashboard: Developed a global utilization dashboard used by CT Service Leadership to optimize scanner use and drive profitability for CT scanners, enabling near real-time monitoring of customer usage and supporting data-driven service enhancements.

Technologies & Frameworks: Power BI, Azure Blob Storage, Microsoft Flow

Predictive Maintenance Insights for CT Components: Designed multiple dashboards identifying predictive maintenance trends, empowering preemptive actions for CT components, reducing downtime, and enhancing operational efficiency.

Technologies & Frameworks: Pyspark, PowerBI, DataBricks, Azure Blob Storage

MRI Service Billing Algorithms: Engineered algorithms and data processing pipelines to calculate MRI machine usage from machine event logs, facilitating accurate service-based billing.

Technologies & Frameworks: Pyspark, PowerBI, DataBricks

Predictive Maintenance Models for MRI Components: Implemented machine learning models for proactive maintenance of critical MRI components (e.g., ColdHead, cables, coils), minimizing machine failures and improving reliability.

Technologies & Frameworks: Pyspark, Keras, DataBricks, Azure Blob Storage

Automatic Error Detection and Ticket Creation for MR Machines: Developing automated systems for error detection and ticket creation in MR machines, streamlining the service response process and reducing machine downtime through immediate issue identification and escalation.

Technologies & Frameworks: Pyspark, Azure Blob Storage, Databricks

Onsite Alert Maintenance for Advanced Therapy Machines: Developed a Proof of Concept during an internal hackathon, which is now set for global production rollout in all Advanced Therapy (AT) machines, enabling proactive, onsite alert maintenance and significantly enhancing machine uptime.

Technologies & Frameworks: C#, Node.JS, Python

Siemens Healthineers
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Intern

Highlights

Developed a Proof of Concept using Flask, Keras, and Bootstrap for radiologists to diagnose Tuberculosis, improving diagnostic efficiency.

Technologies & Frameworks: Flask, Keras, Bootstrap

Bharat Heavy Electricals Limited
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Intern

Highlights

Created an intranet-hosted web application using JSP, JDBC, and Java to automate the company's material gate pass process.

Technologies & Frameworks: JSP, JDBC, Java

Education

Birla Institute of Technology and Science, Pilani - Pilani Campus

Bachelor of Engineering - BE

Electrical and Electronics Engineering

Skills

Python
PySpark
Power BI
Databricks
Neural Networks
Machine Learning