About
Hi, I’m Pavan Sai Chenna, a Data Analyst & Analytics Enthusiast with a strong foundation in data analysis, business intelligence, and data-driven problem solving. I’m passionate about transforming raw data into meaningful insights that support smarter decisions and real-world impact. I hold a Bachelor of Technology from Srichaitanya Institute of Technology and Research, where I built a solid base in analytics, databases, and data engineering concepts. Through hands-on training and projects, I’ve gained practical experience in Python (Pandas, NumPy), SQL (MySQL), Excel, Power BI, and Tableau, along with an understanding of ETL workflows and layered data warehouse models (Bronze–Silver–Gold). During my internships and trainee roles , I worked on: Data cleaning, transformation, and validation for accurate analysis Writing optimized SQL queries to extract trends and insights Exploratory Data Analysis (EDA) on real-world datasets Building interactive dashboards and reports to communicate insights effectively I’ve also delivered end-to-end analytics projects such as Bank Loan Analysis, CRM–ERP Data Integration using a layered data warehouse, and Dynamic Retail Dashboards, where I focused on KPIs, risk analysis, performance trends, and business storytelling through data. Beyond technical skills, I believe that analytical thinking, curiosity, and the right mindset are key drivers of growth. I actively participate in social initiatives as a volunteer with Street Cause, reflecting my interest in teamwork, leadership, and community impact. I’m currently seeking opportunities as a Data Analyst / Business Analyst / Analytics Professional, where I can continue learning, contribute to data-driven teams, and create value through insights. 📊 Let’s connect if you’re interested in data analytics, BI, SQL, Power BI, or collaborative learning.
Work experience
Data Analyst at White Scholars IT Solutions, Aug 2025 - Nov 2025 · 4 mos, • Performed data cleaning, transformation, and validation to prepare datasets for accurate analysis and reporting. • Utilized MySQL to extract, filter, and analyze data using optimized SQL queries for identifying trends and insights. • Assisted in building and maintaining data workflows, ensuring efficient data processing and consistent delivery of analytical outputs.
Data Specialist at pantech solutions, Mar 2024 - Apr 2025 · 1 yr 2 mos, • Worked on practical applications of data analysis, visualization, and interpretation techniques. • Gained hands-on experience handling real-world datasets using Python (Pandas, NumPy) and Excel for data cleaning, preprocessing, and exploratory data analysis. • Created interactive dashboards and visualizations using Tableau and Power BI to effectively communicate insights and support data-driven decisions.
