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Data Scientist || Data Analyst || Machine Learning || Deep Learning || NLP || Computer Vision || Generative AI
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DATA-SCIENCE-MASTER
February 17, 2024 – June 21, 2024
Creating practical notes and assignments for a Jupyter Notebook-based course can be an effective way to reinforce learning and provide hands-on experience with data science concepts.
View ProjectTurtle-Racing-Game-Using-Python
January 18, 2024 – January 18, 2024
Turtle Racing Game using Python typically involves creating a simple graphical user interface (GUI) using the Turtle module, which is part of the standard library in Python.
View ProjectColor_Detection_Using_Mediapipe_and_OpenCV_Deep_Learning
January 18, 2024 – January 18, 2024
Color detection using Mediapipe and OpenCV with deep learning involves the use of computer vision libraries like OpenCV and Mediapipe to identify and analyze colors in images or video streams.
View ProjectReal_Time_Pose_Tracking_Detection_Using_Mediapipe_and_OpenCV
January 13, 2024 – January 13, 2024
To achieve live tracking and detection of human body poses. Utilizing pre-trained models, the project captures and processes video frames, visualizing key body joint positions in real-time. Potential applications include fitness monitoring, motion analysis, and human-computer interaction.
View ProjectFacial_Hand_Landmark_Detection_Using_Mediapipe_and_OpenCV
January 13, 2024 – January 13, 2024
The Facial Hand Landmark Detection project utilizes Mediapipe and OpenCV to achieve real-time tracking of facial and hand landmarks. Using pre-trained models, the project captures, processes, and visualizes facial and hand movements
View Project3D_Image_Video_Object_Detection_Using_Mediapipe_Deep_Learning
January 12, 2024 – January 12, 2024
The project involves using the MediaPipe library to perform 3D object detection in images or videos. This includes tasks such as adapting or extending MediaPipe modules for 3D tracking, transforming coordinates for 3D representation, integrating with 3D visualization libraries, and optimizing for real-time processing.
View ProjectFruit-Detection-Using-TensorFlow-Lite
January 11, 2024 – January 11, 2024
he project involves using TensorFlow Lite for fruit detection. It includes collecting and preprocessing labeled fruit images, selecting a pre-trained object detection model, fine-tuning it on the fruit dataset, converting the model to TensorFlow Lite, and deploying it for real-time detection on mobile or edge devices.
View ProjectFace_and_Eye_Detection-Car_and_-Pedestrian_Detection__Using_Computer_Vision-
January 10, 2024 – January 10, 2024
Computer vision project for face, eye, pedestrian, and car detection involves leveraging image processing techniques to identify and locate these specific objects within images or video streams.
View ProjectBreast-Cancer-Detection-Using-Machine-Learning-Classifier
January 4, 2024 – January 4, 2024
Breast cancer detection using machine learning classifiers involves developing algoTo identify patterns indicative of breast cancer. These classifiers are trained on labeled datasets, learning to distinguish between benign and malignant tumors. Common techniques include support vector machines, neural networks, and decision trees.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong self-starter mentality and a passion for exploring various data science and computer vision applications. The projects are primarily personal, suggesting a drive for independent learning and experimentation. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration skills or fit within a structured team environment. The projects align well with a Data Scientist role focused on computer vision and machine learning.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.