Jenil Doshi

Motivated candidate with extensive experience in SQL, Quicksight, ETL's. Skilled in data analysis, SQL-based data extraction and manipulation. Proficient in managing large-scale data warehousing, ETL implementation ensured data accuracy. Committed to contributing valuable insights through visually compelling visualizations and dashboards for data-driven projects as a Data Analyst.

 Sentimental Analysis of IMDB Reviews:

 In this project developed a machine learning model for sentimental analysis of IMDB reviews. I used natural language processing techniques such as bag of words and TF-IDF to transform the text data into numerical features, and then applied three classification algorithms - logistic regression, naive bayes, and linear support vector - to predict the sentiment of the reviews. 

Technical Skills:  Python, Scikit learn, Matplotlib.

Soft Skills: Time Management, Teamwork, Report Writing. 

 Bird Strike Analysis:

 This project provides a visual representation of data on bird strikes. The graphs show the frequency of bird strikes by year, the types of birds involved in strikes, and the severity of damage caused by strikes. The graphs provide a clear and concise visualization of the data collected on bird strikes, emphasizing the importance of monitoring and addressing this potential threat to aircraft safety.

Technical Skills:  Tableau, Excel.

Soft Skills: Presentation Skills, Leadership, Teamwork, Logical Thinking.

 Cricket World Cup Analysis: 

 This data analysis project involved analyzing cricket matches played after 2012 in England. The analysis included gathering and analyzing data on World Cup venues, the performance of teams and players, and factors such as batting first or second, average scores, and number of wickets taken. The project also identified the best batsmen and bowlers based on averages, strike rates, and economy, as well as the team with the most top performers.

Technical Skills:  Google Collab, Numpy, Pandas, Matplotlib, Seaborn.

Soft Skills: Report Writing, Logical Thinking, Critical Thinking.