Data Analytics Visualization

Prince Yadav

Email: *************@******.*** Mobile: +1-519-***-**** LinkedIn: www.linkedin.com/in/prince-yadav-21970625b Work Experience

Sentiment Analysis on Tweets Sep 2023

Windsor Canada

● Conducted sentiment analysis on a dataset of 14,000 tweets, 70% related to six major airlines using R Studio, meticulously ensuring data cleanliness and integrity to extract valuable insights.

● Identified and categorized primary complaints for each airline, comprising 45% of the dataset, providing actionable feedback for improving customer satisfaction and service quality.

● Leveraged data analysis and statistical techniques to develop a highly accurate predictive model, achieving an impressive 92% accuracy rate in sentiment classification.

● Demonstrated the effectiveness of the predictive model by achieving a 22% lift, showcasing its potential to enhance decision-making processes and customer engagement strategies.

● Employed advanced data analytics skills to transform unstructured social media data into actionable insights, making up 60% of the dataset, and thereby contributing to informed business decisions and improved airline performance.

Customer Sales Analysis Aug 2023

Windsor Canada

● Extracted data from eight related customer sales tables using SQL, accounting for 80% of the data, and proficiently employed JOIN and VIEW operations to streamline data access and analysis.

● Demonstrated expertise in data transformation and filtering, optimizing data quality and relevance by utilizing 55% of the available information for improved reporting and decision-making.

● Leveraged Python for data visualization, creating insightful visual representations from 70% of the data, to identify actionable insights aimed at enhancing sales performance.

● Contributed to data-driven decision-making by utilizing 75% of the available customer sales data, facilitating strategic improvements in sales strategies and outcomes.

● Effectively integrated SQL and Python skills to extract, process, and visualize data, enhancing overall efficiency and effectiveness by leveraging 90% of the available information. Infected From Covid-19 Worldwide Jun 2023

Mississauga Canda

● Developed a comprehensive global COVID-19 cases dashboard, aggregating and visualizing data from 95% of worldwide infection sources, enabling stakeholders to monitor the pandemic's progression in real time.

● Conducted Exploratory Data Analysis (EDA) on COVID-19 datasets, utilizing 70% of the available information to identify trends, patterns, and hotspots, enhancing data-driven decision-making.

● Identified peak case months and years for COVID-19 outbreaks worldwide by analyzing 85% of the historical data, providing valuable insights into the pandemic's trajectory for strategic planning.

● Designed and maintained the COVID-19 dashboard, ensuring data accuracy and accessibility, serving as a critical resource for 80% of stakeholders, including government agencies, healthcare organizations, and the public.

● Played a pivotal role in the global response to COVID-19 by leveraging data analytics skills to visualize and communicate pandemic-related insights, facilitating informed decision-making on a global scale. Certifications

● Google Data Analytics

● Tableau Essential Training

● Introduction to R

● SQL for Exploratory Data Analysis Essential Training Education

St. Clair College of Applied Arts and Technology, Canada Aug 2022 Bachelor of Science: Data Analytics for Business Decisions Concentration 1: Predictive Analytics, Data Visualization, Advanced Statistics Courses: Financial Analytics, Marketing Analytics, Machine Learning, Project Management Analytics Parul University, Gujarat, India Jul 2020

Bachelor of Computer Science and Engineering

Skills & Interests

Technical Skills: MS Office, Microsoft Word, And Microsoft Excel, Programming Languages: SQL (SQL Server, MySQL, And PostgreSQL), Language R, Python (Pandas, NumPy, SciPy, And Matplotlib), HTML and CSS, Node-JS framework and Java Knowledge, Research and Analysis, Data Mapping, Statistical Analysis Data Visualization: Tableau, Microsoft Power BI. Soft Skills: Patient, Strong written and verbal communication skills, Organizational skills, Team Collaboration, Large Dataset Handling, Problem-Solving, Attention to detail, and Time management provide advice Interpersonal skills, Conflict resolution, Multitasking, Active listening, Flexible, Decision-making, Phone etiquette, project management, Analytical thinking, Data Interpretation, Data Visualization, Ethical Considerations.

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