Comprehensive Analysis of Tesla and GameStop Stock and Revenue Data

Comprehensive Analysis of Tesla and GameStop Stock and Revenue DataComprehensive Analysis of Tesla and GameStop Stock and Revenue Data

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Mani Sharan Bommakanti

• Mar 12

Tesla-x-GME-Stock-Data-Analysis-

"Extracting and visualizing historical stock and revenue data for Tesla and GameStop."

Table of Contents

Question 1: Use yfinance to Extract Stock Data (Tesla)

Question 2: Use Webscraping to Extract Tesla Revenue Data

Question 3: Use yfinance to Extract Stock Data (GameStop)

Question 4: Use Webscraping to Extract GME Revenue Data

Question 5: Plot Tesla Stock Graph

Question 6: Plot GameStop Stock Graph

Data Analysis Web Scraping BeautifulSoup Python seaborn Data Science

Ciro

• 21h

Excellent work, Mani! 🙌

Mani Sharan Bommakanti

• 19h

"Thank you so much Ciro! 😊 Hope you're enjoying my project! I'd love for us to connect and grow together.

I'm currently available for freelance Data Analysis & Power BI Dashboard projects on Contra. If you ever come across any clients or opportunities that might be a good fit,...

Garang Deng

• Mar 9

Data Analytics, Data entry, Web developer, Designer and Storyteller

Data Analysis Data Science Data Visualization Matplotlib pandas SQL

Mani Sharan Bommakanti

• Mar 8

Built an end-to-end NLP pipeline to classify text reviews as Positive, Negative, or Neutral. Used NLTK for tokenization and lemmatization, TF-IDF for vectorization, and trained 3 ML classifiers — Logistic Regression, Naive Bayes, and SVM. Visualized sentiment trends and model accuracy using Matplotlib and Seaborn.

Data Analysis Data Engineering Python scikit-learn Machine Learning Engineering NLTK

Ben Soumahoro

• Mar 11

Great! can you embed you model in a web app?

Istiak Ahmed Khan

• Mar 8

This Project Overview Dashboard provides a comprehensive view of project performance, financial outcomes, and operational progress across the organization. Built using Power BI, this dashboard enables project managers and executives to monitor key project metrics, evaluate cost efficiency, and track overall project status in real time.

Key KPIs Tracked:

✔ Total Projects – Number of active and completed projects ✔ Project Cost – Total investment allocated across projects ✔ Project Benefit – Estimated value or return generated from projects ✔ Net Benefit – Difference between project benefit and cost ✔ Average Completion Rate – Overall project progress percentage

Microsoft Power BI Data Analysis Data Science Data Visualization Microsoft Excel SQL

Geethasree Naguboina

pro

• Mar 10

Tracking Net Benefit alongside Project Cost in real time is really powerful for executive decision making — gives leadership the full financial picture without digging into raw data. Well structured dashboard!