Rohin Akshat

Dedicated and versatile data analyst with proficiency in Power BI, Tableau, Python, and Excel. Fresh graduate eager to apply skills in data visualization, analysis, and interpretation to drive informed business decisions. Strong problem-solving abilities and a keen eye for detail. Passionate about leveraging data to drive meaningful insights and actionable strategies.

• Data Analytics Competitions: Participation in data analysis competitions like hackathons, data challenges, or Kaggle competitions, showcasing your ability to analyze data and derive insights.
  
  Data Analysis Projects: Undertaking independent or group projects involving data collection, cleaning, analysis, and visualization using tools like Power BI, Tableau, or Python. Highlight specific projects and their outcomes.

• Won first place in a college-wide hackathon at SRM Institute of Science and Technology (SRMIST), showcasing exceptional teamwork and problem-solving skills in the field of data analytics.
• Participated in the Google Analytics Code Challenge, demonstrating proficiency in analyzing and interpreting web data to optimize business strategies and user experiences.

• "The Data Science Course 2022: Complete Data Science Bootcamp" by 365 Careers
• "Python for Data Science and Machine Learning Bootcamp" by Jose Portilla
• Tableau 2022 A-Z: Hands-On Tableau Training For Data Science!" by Kirill Eremenko
• "IBM Data Science Professional Certificate" by IBM
  

1. Sales Performance Dashboard:
  Created a comprehensive dashboard using Power BI to analyze sales performance metrics such as revenue, profit margins, and sales trends. Integrated data from various sources including CRM and ERP systems. Implemented interactive visualizations and drill-down capabilities to provide actionable insights for sales teams. Resulted in a 10% increase in sales efficiency and revenue growth.

2. Customer Churn Analysis:
  - Developed a Power BI dashboard to analyze customer churn patterns and identify factors influencing customer attrition. Utilized predictive modeling techniques to forecast potential churners and implemented strategies to mitigate churn. Provided stakeholders with actionable insights to improve customer retention efforts, leading to a 15% reduction in customer churn rate.