Aaryan Singh

I’m an analytical, detail-oriented graduate building my career at the intersection of software engineering and data science. I focus on using Python, SQL, and modern analytics tools to turn messy, complex data into clear decisions. My goal is simple: help teams move faster with evidence, not assumptions.

During my data science internship, I collected, cleaned, and analyzed large datasets with Python and Pandas, then built and evaluated predictive models using Scikit-learn. I translated results into interactive Power BI dashboards and visualizations with Matplotlib, and I automated preprocessing workflows to improve both efficiency and accuracy. I also collaborated with others to connect insights directly to business solutions.

In my projects, I’ve developed machine learning solutions such as sentiment analysis of reviews and real estate price prediction, using techniques like TF-IDF/Bag-of-Words, Logistic Regression, SVM, Linear Regression, and Random Forest. I’m especially drawn to roles where I can keep improving model performance, strengthen data pipelines, and communicate results in a way stakeholders can act on. I bring problem-solving, adaptability, and strong attention to detail, and I’m eager to grow in a dynamic, growth-oriented organization.