PRITHISH RAJ . T
I am a |
An aspiring software engineer specializing in data science, blending analytical rigor with creative problem-solving to craft impactful digital experiences and extract insights from data.
01. About Me
Hello! I'm Prithish, an aspiring software engineer driven by the fascinating interplay of data, design, and effective problem-solving. My academic journey is a unique blend: I'm currently pursuing a Bachelor of Arts in English, which enriches my analytical perspective, while simultaneously immersing myself in the technical realm through a Professional Certification in Software Engineering with a Data Science specialization.
This dual approach allows me to tackle challenges with both critical insight from literary studies and technical proficiency in Python, SQL, machine learning, and algorithm design. I believe the most impactful solutions are not only well-coded but also clearly communicated and empathetically designed.
My goal is to transform complex data into compelling narratives and build software that is both elegant and purposeful. I'm eager to contribute my unique blend of skills to innovative projects that make a tangible, positive impact.
02. My Toolkit
Here are a few technologies and areas I've been working with and developing expertise in:
Python
A versatile language for scripting, backend development, data analysis, and machine learning applications.
SQL
Proficient in querying and managing relational databases to extract and manipulate data effectively.
Data Science
Exploring techniques for data mining, statistical analysis, and deriving insights from complex datasets.
Machine Learning
Learning foundational concepts and algorithms to build predictive models and intelligent systems.
Software Development
Understanding principles of software architecture, development lifecycles, and best practices.
Algorithm Design
Focusing on creating efficient and scalable solutions to computational problems.
Visual Studio Code
My go-to code editor, valued for its flexibility, extensive features, and customization.
Jupyter Notebooks
Utilized for interactive data analysis, visualization, and rapid prototyping of ML models.
03. Things I've Built
A practical application of collaborative filtering.
A recommendation engine developed to predict movie ratings for users, mirroring Netflix's content suggestion system. This project leverages Singular Value Decomposition (SVD), a powerful matrix factorization technique, to identify latent user preferences and item features from a large dataset, ultimately providing personalized movie suggestions.
A computer vision model to identify and locate objects.
This project implements a machine learning model capable of real-time object detection. By leveraging computer vision techniques and a pre-trained neural network, the system can process images or video streams to identify, classify, and draw bounding boxes around various objects. It demonstrates a practical application of ML in fields like automated surveillance and image analysis.
04. Academic Pursuits
B.A. English – 2nd Year
Voorhees College
Currently deepening my understanding of literature, critical theory, and effective communication. This humanities foundation sharpens my analytical skills and provides a unique lens for approaching technological challenges with creativity and empathy.
Professional Certification – Software Engineering
Specialization in Data Science | Intellipaat
An intensive program focused on practical software development, data analysis, machine learning principles, and algorithmic problem-solving. This certification is equipping me with the hands-on skills to design, build, and deploy robust software solutions.
05. Certifications
Issued by: Intellipaat
Issued by: Intellipaat
Issued by: Intellipaat
Issued by: NASBA (via LinkedIn)
Issued by: Intellipaat
Issued by: Intellipaat
06. What's Next?
Get In Touch
I'm actively seeking opportunities to apply my skills and contribute to innovative projects. Whether you have a question, a potential collaboration, or just want to connect, I'd love to hear from you.
Say Hello