B.Sc. IT (Hons.) student at Parul University, Vadodara — passionate about intelligent systems, data analysis, and the intersection of Python, Machine Learning & real-world problem solving.
About Me
I'm Aman Kushwaha, a 4th-semester B.Sc. IT (Hons.) student at Parul University, Vadodara. My academic path has sparked a deep passion for Artificial Intelligence and Machine Learning — fields I believe will define the next era of technology.
I enjoy working with data, uncovering patterns where others see noise, and translating raw numbers into meaningful insights. I'm actively building knowledge across statistics, core ML algorithms, and data visualisation using Python's rich ecosystem.
Currently in my 2nd year, I'm focused on converting theoretical learning into practical skills — through personal experiments, open-source exploration, and building a habit of shipping real, deployable work rather than just writing notebooks.
I believe every dataset tells a story. I want to be the one who reads it.
Technical Skills
Core language for data science, automation, and ML experiments.
Data querying, aggregation, joins and database management.
Data manipulation, cleaning, and exploration for structured datasets.
Numerical computing and array operations for ML foundations.
Data visualisation, charts, and graphical storytelling from data.
Frontend scripting for building interactive web interfaces.
Structuring and styling web content; clean, responsive layouts.
Version control, branching, and collaborative code management.
Interactive computing for data analysis and ML prototyping.
Core language for data science, automation, and ML experiments.
Data querying, aggregation, joins and database management.
Frontend scripting for building interactive web interfaces.
Data manipulation, cleaning, and exploration for structured datasets.
Numerical computing and array operations for ML foundations.
Data visualisation, charts, and graphical storytelling from data.
Interactive computing for data analysis and ML prototyping.
Structuring and styling web content; building clean responsive layouts.
Version control, branching, and collaborative code management.
My Journey
After completing my Class 10 and 12 education with a science background, I initially prepared for the NEET examination.
Despite dedicated preparation over two years, I was unable to clear the exam. That phase was challenging, but it gave me time to reflect seriously on my interests, strengths, and the kind of work I wanted to pursue long term.
Through that reflection, I realized my natural inclination was toward logical problem-solving, technology, and building systems. This clarity led me to make a conscious shift into the field of Information Technology by enrolling in a B.Sc. IT (Honours) program.
The transition was not easy. In my first year, coding concepts were unfamiliar and often difficult to grasp. Instead of giving up, I focused on strengthening fundamentals, practicing consistently, and learning through mistakes.
By my second year, concepts started to click. Programming, data handling, and analytical thinking became clearer, and I began enjoying the process of learning and problem-solving.
Today, I am a second-year student actively building skills in AI, Machine Learning, and data-driven development, focused on translating theory into real, deployable projects.
Current Goals
Build and deploy my first complete supervised learning model — from data collection to live inference — and share it publicly on GitHub.
IN PROGRESSComplete 3 real dataset analyses with full notebooks, visualisations, and insights — showcasing end-to-end analytical thinking on GitHub.
NEXT UPLearn to deploy AI/ML projects live using platforms like Kuberns, and understand deployment pipelines, Docker fundamentals, and FastAPI.
EXPLORINGSecure a data science or ML internship by Year 3 — contributing to meaningful projects and growing professionally in a real team environment.
End of 2026 TARGETContact
Whether you have an internship opportunity, want to collaborate on a data/AI project, or just want to talk tech — I'd love to hear from you. Drop me a message and I'll reply within 24 hours.