I am Raja Kumar, a highly motivated B.Tech student specializing in Artificial Intelligence and Data Science at Galgotias University. With a strong passion for data and technology, I enjoy uncovering patterns and insights from complex datasets to support informed decision-making.
I have hands-on experience working as an AI Trainer at Remotasks, where I developed detailed instructions, crafted prompts, and evaluated AI outputs to enhance system performance. I’m constantly learning and applying new techniques in data analysis, visualization, and machine learning to solve real-world problems efficiently.
My goal is to become a skilled Data Engineer & Data Scientist contribute to innovative solutions in the tech industry.
To leverage my skills in data analysis, data visualization, and statistical methods to identify trends and patterns from data and contribute to data-driven decision-making in a dynamic and innovative organization.
Skills
SQL 80%CGPA: 8.46
Percentage: 75.20 %
Percentage: 81.80 %
Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.
Performed exploratory data analysis on diwali sales data using Python to improve the customer experience.
Creating a voice assistant with Python showcases its power and versatility. Using the SpeechRecognition library, Python converts speech to text, enabling tasks like sending emails, web searches, playing music, and more through voice commands.
Rice classification using CNNs automates feature extraction from images, improving accuracy and efficiency over manual methods. The model, trained on a large dataset with preprocessing, uses convolutional and max-pooling layers . It achieves high performance and robustness, suitable for real-time applications in agriculture and food processing.
Fake news detection on social media using machine learning and NLP. It proposes a model using Support Vector Machine (TF-IDF) to identify real and fake news. With 92% accuracy, the model aggregates and authenticates news from platforms like WhatsApp, Facebook, and Twitter.
Developed a deep learning-based image classification system to automatically detect and identify plant diseases from leaf images. Leveraged convolutional neural networks (CNNs) for feature extraction and classification of common plant diseases with high accuracy.
To leverage my skills in data analysis, data visualization, and statistical methods to identify trends and patterns from data and contribute to data-driven decision-making in a dynamic and innovative organization.
Below are the details to reach out to me!
Noida, India