Projects

After importing data, Exploratory data analysis was performed, further two-sample hypothesis test was conducted, Two ML models Random Forest and XGBoost models were constructed. Model scores were improved byb additional model tunning. Finally User churn was predicted via XGBoost ML Model as it appeared as champion model.

"The project's codebase is readily accessible on GitHub, and you can explore its implementation through the Nbviewer for Jupyter Notebook"

"I began with data import and conducted exploratory data analysis (EDA), followed by a two-sample hypothesis test. I then built Random Forest and XGBoost models, improved their scores with model tuning, and selected XGBoost as the champion model for predicting user churn!"

"Working with Jessie Mendez has been an absolute game-changer for our business. We couldn't be happier with the results!"

"Client's complaint management process improved through real-time updates vai comprehensive KPI monitoring, and prompt issue resolution. This led to improved customer satisfaction, reduced dispute rates, streamlined complaint resolution"

"Dashboard provides a valuable tool for analyzing YouTube trends and can be utilized for marketing strategies, content creation decisions, and understanding user behavior on the platform"

"Using a sentiment classification model, I assessed sentiments in the NUS SMS Corpus, revealing that 64.3% of messages were negative, and 35.8% were positive. Trinidad and Tobago ranked highest in positivity, while Lebanon scored highest in negativity. This analysis highlights sentiment patterns across countries."

"Stack Overflow Developer Survey analysis revealed the need for more diversity, with a focus on underrepresented groups and non-English-speaking countries. It underscores the flexibility of educational backgrounds, highlights the popularity of Python, and shows that age is not a barrier to entering the programming field"

Our project aimed to predict astrological signs, crucial for matchmaking on OkCupid. However, the model's performance was akin to random guessing, prompting the need for further refinements, additional data, or alternative models to improve predictive accuracy in future iterations.

"Seasonal factors significantly affect accident rates, particularly in Fall and Winter, while it remains inconclusive whether smartphones alone have substantially impacted road safety. The study underscores the complex web of variables, including weather and societal factors, and emphasizes the need for ongoing research to understand the evolving influence of smartphone technology on road safety"

"In this project income emerged as the primary driver of customer purchase behavior, with higher-income groups dominating certain product categories. Tailoring marketing to specific age groups, especially the 71+ demographic, and expanding online and in-store options presents opportunities for growth. These insights inform strategies to optimize pricing, customer engagement, and market reach."

"Extracted valuable data from dynamic websites. We organized this data into structured datasets and gained insights into user engagement on GitHub. Detailed analysis and code can be accessed in a Jupyter Notebook"

"In brief, life expectancy improved, notably in Zimbabwe. GDP grew in all nations, led by China. A positive GDP-life expectancy correlation exists, with an average life expectancy in the mid to high 70s, except in Zimbabwe (50), and a left-skewed distribution"

"Working with Jessie Mendez has been an absolute game-changer for our business. We couldn't be happier with the results!"

"Coffee Sales Dashboard simplifies data analysis, making it easier to track sales trends, understand customer preferences, and evaluate the performance of different coffee types and sizes"

The dashboard spans 2014-2018, featuring filters for products, salespeople, and shipping priorities, showcasing essential metrics in sales, shipping, and customer data.

"The project delivered an intuitive, visually appealing dashboard aligned with client goals"

"Working with Jessie Mendez has been an absolute game-changer for our business. We couldn't be happier with the results!"

"This streamlined invoice management, enabling the client to prioritize collections and make informed financial decisions. Its user-friendly interface, comprehensive invoice showcase, and efficient filters improved receivables tracking and overall efficiency"

"With consolidated sales data, visualized KPIs, and intuitive navigation, the dashboard provides critical insights for informed business strategies"

Most species were not under conservation (5,633 out of 5,824), and mammals and birds showed a higher likelihood of being protected. While there was no significant difference in conservation percentages between mammals and birds, a statistically significant difference existed between mammals and reptiles. Bats were the most frequently observed species, primarily in Yellowstone National Park.