Throughout the past 12 months and continuing to the present, I have been actively engaged in a variety of Data Science projects. I began my exploration of Data Science in January 2022 and have been dedicated to the field ever since.

After mastering each new concept, I have tackled new projects in order to solidify my understanding and build my skills. These projects have allowed me to put theory into practice, work through real-world scenarios, and make meaningful contributions towards solving problems that impact society.

Tasty Bytes is a company founded in 2020 during the Covid Pandemic as a recipe search engine to help people use up their limited supplies. It has since grown into a fully-fledged business. Currently, the team chooses their favorite recipe to display on the home page, which increases traffic to the rest of the website by as much as 40%. However, they don't know how to predict which recipes will be popular. The product manager has requested a solution that can predict high traffic recipes with 80% accuracy.

Pens and Printers was founded in 1984 and provides high quality office products to large organizations. Six weeks ago they launched a new line of office stationery. They have tested three different sales strategies for this, targeted email and phone calls, as well as combining the two. The business goal of this project is to identify the best sales strategy for the new product line.

Road accidents represent a major problem in Romania, causing a very large number of injuries and deaths every year. The objective of this project is to study the road accidents that occurred in Romania during the year 2021 in order to better understand the factors that cause these accidents and what measures the authorities could take to minimize their number.

This project aims to utilize advanced tools and techniques in the natural language processing field to analyze 2000 Romanian reviews. The reviews were carefully examined and classified into positive and negative categories based on the sentiment expressed in the text. To accomplish this, I used a range of methods including sentiment analysis, machine learning algorithms, and other text analytics techniques to extract valuable insights from the reviews.

In this scenario, a corporation is grappling with a growing number of employees leaving, which has raised concerns among corporate management. To address this issue, the objective of this project is to identify the primary reasons why employees are leaving. The project will answer several key questions, such as which department experiences the most employee turnover and which variables have the greatest impact on turnover. Although this project does not involve Big Data encompassing all 5 Vs, it provides a valuable learning opportunity for working with Pyspark.