Keerthi Pagad
Data Analyst & Data Science Aspirant | Python, SQL, Power BI, Statistics | EDA, Hypothesis Testing, Product Analysis | Building Insights from Data | Scaler Academy
- Role
- Data Quality Analyst at FinBox
- Location
- Belagavi, KA, IN
- LinkedIn followers
- 500 followers
About Keerthi Pagad
Hi, I’m Keerthi Pagad — a passionate Computer Science graduate (2024) driven to use data, technology, and problem-solving to create meaningful business impact.I’ve built hands-on experience through Deloitte & Tata Group virtual internships, where I worked on data visualization, business reporting, and KPI analysis using SQL, Excel, Power BI, and Tableau. I enjoy turning messy data into clear insights that support smart decisions.I’m currently open to roles like Data Analyst, Business Analyst, Product Analyst, or Graduate Trainee, where I can apply both my analytical mindset and technical expertise to deliver value and grow with a data-driven organization. What I’ve Worked On Deloitte Data Analytics Virtual Internship• Analyzed business KPIs, cleaned datasets, and built interactive Tableau dashboards for performance tracking.• Improved data accuracy and reporting clarity, supporting decision-making for a retail business case. Tata Group Data Visualization Virtual Internship• Applied Power BI and Excel to transform raw business data into actionable insights.• Created visually engaging reports that enhanced management’s data storytelling and strategic planning. E-Commerce Customer Behavior Analysis (SQL, Tableau)• Analyzed 100K+ customer orders to identify purchasing trends and high-value customer segments.• Designed dashboards to support targeted marketing and improve retention by 12%. AeroFit Market Segmentation Project (Python, Excel)• Segmented customers based on demographics and purchase behavior.• Built predictive models to recommend pricing and product positioning strategies, leading to a simulated 10% revenue boost. Walmart Purchase Behavior Study (Python, Statistics)• Analyzed 550K+ transactions using Pandas, Matplotlib & hypothesis testing.• Visualized key spending patterns and derived insights on customer demographics.🧠 Technical Toolkit Languages & Tools: SQL | Python (Pandas, NumPy, Matplotlib, Seaborn)| Power BI | Tableau | Excel | MySQL | Google Colab Core Areas: Data Cleaning | Dashboard Development | KPI Reporting | Statistical Analysis | Hypothesis Testing | Client Communication | Problem Solving
Experience
Data Quality Analyst
Jan 2026 — Present
Education
S G Balekundri Institute of Technology, BELGAUM
Bachelor of Engineering - BE, Computer Science
2020 — 2024
Basel Mission English Medium High School-Dharwad
Class X
Mahesh PU College
Class XII, PHYSICAL SCIENCES
Scaler
Data Analytics & Data Science course
S. G. Balekundri Institute of Technology, Belagavi
Bachelor of Engineering, Computer Engineering
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