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Software Engineer at Siemens Healthineers.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Predictive_Delivery_Management_Engine
December 1, 2025 – December 2, 2025
Problem Statement: The core challenge addressed by this project is the inaccuracy of Estimated Time of Arrivals (ETAs) on food delivery platforms. This inaccuracy arises from variability in driver performance, leading to reduced customer satisfaction and inefficient resource utilization. The project aims to solve this by leveraging machine learning
View ProjectTrend-Analytics-at-Scale
November 27, 2025 – December 2, 2025
A distributed streaming analytics platform for processing Flipkart product reviews at scale. Built with Apache Spark, Kafka, and MongoDB to provide real-time sentiment analysis, topic modeling, and customer clustering insights. Built for processing high-volume review streams with scaling capability and real-time insights generation.
View ProjectArduinoFM_Receiver
February 8, 2023 – February 8, 2023
Just a dump of the FM radio receiver project done as a part of 5th sem ADC course.
View ProjectAPB_BFM
December 30, 2021 – January 8, 2022
This is a bus functional model of Advanced Peripheral Bus.
View Projectverilog_tutorial
November 14, 2021 – October 31, 2022
This repo is basically where I dump all my verilog code used in my verilog course.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from hardware description languages (Verilog, Systemverilog) to software development (Java, C++, Python, JavaScript) and data science. This breadth suggests adaptability and a willingness to explore different technical domains. The 'Predictive_Delivery_Management_Engine' and 'Trend-Analytics-at-Scale' projects align with a data scientist role, indicating a potential fit for data-driven environments. However, the majority of projects are personal and lack detailed descriptions of collaboration or team dynamics, making a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.