About

Enthusiastic and self-motivated Data Science graduate with hands-on experience in Python, SQL, data analysis, and machine learning. Built a comprehensive stock market analysis project leveraging time series forecasting (LSTM, GRU, Prophet) to predict stock prices for major tech companies. Strong foundation in data visualization (Tableau, Power BI, Matplotlib, Seaborn) with a continuous learning mindset. Eager to contribute to data-driven solutions and grow in AI and data engineering.

Projects1

• Stock Market Analysis & Price Prediction

  Extracted and analyzed historical stock price time series data for Apple, Amazon, Google, and Microsoft using Python libraries like yFinance and Pandas. Performed exploratory data analysis on stock performance metrics such as daily returns and moving averages. Implemented and compared LSTM, GRU, and Facebook Prophet forecasting models to predict future stock prices, focusing on Apple Inc. Created visual dashboards to communicate financial trends and model results to non-technical stakeholders.

  • Python
  • Pandas
  • Matplotlib
  • Seaborn
  • yFinance
  • Scikit-learn
  • TensorFlow
  • Keras
  • Prophet

Education1

• SK

  Bachelor of Science

  2023 — 2026

  Sri Krishna Arts & Science College

  Data Science