Aryan Tiwari

Hello and welcome to my website!
I am an undergraduate student who is aspiring to proceed with the career in software development. I have a passion for machine learning and data science, and I have good proficiency in Python. I enjoy working on challenging and innovative projects that can make a positive impact on the world.I am actively looking for any internship or job opportunity in software development or data science role. If you are interested in collaborating with me or hiring me, please feel free to contact me through the links below.

skills

achievements

This section showcases some of my achievements in the field of programming. I have earned various certificates and badges from reputable online platforms that demonstrate my skills and knowledge in programming and technologies.

participations

Projects

The projects section showcases some of the work that I have done in the past. It includes a brief description of each project, the technologies and skills that I used, and a link to the source code or live demo. They demonstrate my ability to solve problems, learn new tools, and collaborate with others.

FlipKart Product Price Tracker

I wrote a Python script to track a product's price on Flipkart. It plots real-time price graphs, logs historical pricing data, and sends an email alert when the price drops below a user-defined target. This enables effective price monitoring and decision making.

Data Visualization WebApp

I developed an interactive web application using Flask and Chart.js to visualize student performance data. It has an interface allowing easy uploading of CSV files for data processing. Chart.js then dynamically renders bar charts showcasing student scores across different subjects. This provides a user-friendly way to visualize and analyze the performance data.

House Sale Price Prediction

This project aimed to develop a model that can estimate the value of a house based on its features. Results showed that the random forest model had the best accuracy and generalization ability.

S&P 500 Stock Tracker WebApp

I built a web app in Streamlit to visualize S&P500 stock data filtered by industry. It scrapes and enriches Wikipedia data with Yahoo Finance pricing. The app filters stocks by assigned industry tags and displays customizable price/volume charts over time for selected companies. This enables industry-focused S&P500 analysis.

Prediction of Solar Binary

I utilized physics principles and data science to determine orbital stability of twin star systems. Kepler's laws and formulas derived features like axis lengths. K-Means clustering of axis and eccentricity data characterized likely orbit shapes. This combines physics and data science for astrophysics analysis.

Contact

I would love to hear from you
tHanK You