YASHVANTA KUMAR LINGAPPA SANTE

Data analyst with strong proficiency in Python and data manipulation. Experienced in extracting, cleaning, and analyzing complex datasets to derive meaningful insights. Proven track record of translating data-driven findings into actionable business strategies. Excellent problem-solving skills and a passion for discovering trends and patterns in data.

Data Analysis with Python from Netzwerk Academy

• Stock Price Prediction with Machine Learning*

Collected historical stock price data and technical indicators using Python and Yahoo Finance API.

Engineered features and built a machine learning model using Scikit-Learn to predict stock prices.

Implemented time series analysis and cross-validation techniques to improve model accuracy.

Visualized model performance and predicted vs. actual stock prices using Matplotlib.

• Scraped laptop specifications and prices from e-commerce websites using Python and libraries like BeautifulSoup and Requests.
• Cleaned and preprocessed the scraped data to handle missing values and inconsistencies using pandas.
• Performed exploratory data analysis (EDA) to identify trends in laptop features and their correlation with prices.
• Engineered relevant features and applied machine learning algorithms (Scikit-Learn) to build a laptop price prediction model.
• Utilized Matplotlib and Seaborn to visualize the model's performance and insights from the analysis.
• Achieved a [percentage] reduction in price prediction error, demonstrating the effectiveness of the model.
• Documented the entire process in a Jupyter Notebook, making it reproducible and sharable.

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