Ravi Teja

Data Scientist

https://talent.gravityer.com/ravi-teja-7

Optimizing life’s parameters, one backprop at a time. 🤖🎯🧠

GermanyMember since June 29, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with object detection models (YOLO V8) for player tracking and training.
Exposure to Large Language Models (LLMs) for architecture review.
Familiarity with Python and Jupyter Notebook for data science tasks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a proactive approach to learning and applying data science concepts. The diversity of projects, from robotics to computer vision and LLMs, indicates a broad interest in technical challenges. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

AI-Vehicle-Architecture-Reviewer

April 23, 2025 – April 23, 2025

# Vehicle Architecture AI Reviewer This project uses a Large Language Model (LLM) to review and comment on automotive vehicle architecture descriptions. It's tailored for applications in connected vehicle systems, where smart AI support can enhance tool development and design validation.

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LEGO_EV3_Robot_Manipulation_Using_PID_Controller

November 13, 2024 – November 13, 2024

LEGO_EV3_Robot_Manipulation_Using_PID_Controller

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Aviation-Analytics

October 1, 2024 – October 1, 2024

Airline Status Dashboard

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Detect_and_classify_objects_in_warehouse_using_depth_sensor_on_RTOS

September 20, 2024 – January 24, 2025

Detect_and_classify_objects_in_warehouse_using_depth_sensor_on_RTOS

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Denoising-of-Microscopic-images-using-Zero-Shot-Noise2Noise

September 20, 2024 – September 20, 2024

Denoising of Microscopic images using Zero-Shot Noise2Noise

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Footballl_Players_Training

September 20, 2024 – September 20, 2024

This project uses YOLO (You Only Look Once) V8 object detection model for Training Players, GoalKeepers, Referees and Ball.

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Football_Player_Tracking

September 19, 2024 – September 20, 2024

This project uses YOLO (You Only Look Once) V8 object detection model and Supervision for detecting and annotating football players, referees, and ball in football match videos

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RaviTejaNjr

September 19, 2024 – May 15, 2025

RaviTejaNjr — GitHub repository

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with object detection models (YOLO V8) for player tracking and training.
Exposure to Large Language Models (LLMs) for architecture review.
Familiarity with Python and Jupyter Notebook for data science tasks.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Ravi Teja

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit