Venugopala Madumbu
Data ScientistS/w Architect, Tech Enthusiast
NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
S/w Architect, Tech Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NVIDIA
Data Scientist
June 25, 2026 – Present
deeplearning.ai.course
September 1, 2019 – September 1, 2019
Repo for the different work and asssignmetnts as part of deeplearning.ai course through Coursera
View ProjectFinancialAnalysis
July 12, 2019 – July 16, 2023
Repo for different explorations of ideas on Financial Market Analysis
View ProjectCapstoneProject_SDCND_ROS
December 8, 2017 – December 8, 2017
Capstone project of Udacity SDCND in ROS environment
View ProjectSemanticSegmentation
October 25, 2017 – October 25, 2017
Term3 - Semantic Segmentation project
View ProjectSDCND_PathPlanning
October 1, 2017 – October 30, 2017
SDCND_PathPlanning — GitHub repository
View ProjectPID_Controller
July 17, 2017 – July 17, 2017
A PID Controller to steer the car simulator to stay on track
View ProjectParticleFilterBasedLocalization
July 7, 2017 – July 7, 2017
2D Localization using Particle filter
View ProjectLaneDetection_P1
February 11, 2017 – February 11, 2017
LaneDetection using OpenCV techniques
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards autonomous systems, robotics, and financial modeling, which aligns with a data scientist role. However, the projects are predominantly personal and lack explicit team collaboration or large-scale deployment details, making it difficult to fully assess cultural fit in a collaborative enterprise environment. The experience level is listed as 0, which contradicts the current role at NVIDIA, suggesting a potential data discrepancy or a very recent entry into the role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.