Kiran Avula

Data Scientist

Bengaluru, Karnataka, India7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in SQL, Power BI, and Python for data analysis.
Experienced in creating KPI dashboards for e-commerce insights.
Strong analytical skills with a focus on data-driven decision making.

Stackforce AI infers this person is a Data Analyst specializing in E-Commerce analytics and data-driven insights.

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Skills

Core Skills

Data AnalysisData Reporting

Other Skills

Data CleaningMicrosoft Power BISQLExcelPower BIPythonPandasNumPyMatplotlibSeabornKPI DashboardsSummarizing InformationAnalytical SkillsMarket AnalysisBusiness Requirements

Experience

7 mos

Total Experience

5 mos

Average Tenure

2 mos

Current Experience

Meesho

Data Analyst

Mar 2026 – Present · 2 mos · Bengaluru, Karnataka, India · Hybrid

Codsoft

Data Analyst

Jul 2025 – Dec 2025 · 5 mos

Collected, cleaned, and analyzed structured datasets to identify trends and performance insights.
Created interactive dashboards and reports using Power BI and Excel to support data-driven decisions. Used SQL queries to extract and filter data based on business requirements
Sales & Customer Insights Dashboard (Power BI)
Analyzed sales and customer behaviour data to identify trends, high-performing categories, and regional demand patterns.
Built interactive dashboards with KPIs such as revenue growth, customer retention, and average order value.
Delivered insights that could support pricing, inventory, and marketing decisions.
Data Analysis using Python (IBM Certification Project)
Performed data cleaning, transformation, and exploratory data analysis using Pandas and NumPy.
Created visualizations using Matplotlib & Seaborn to uncover trends and anomalies.
Generated summary reports with actionable insights for business use cases.
E-Commerce Marketplace Performance Analysis (SQL + Power BI)
Analyzed e-commerce marketplace data including orders, sellers, products, pricing, and delivery metrics.
Used SQL to extract insights on order volume, revenue, seller performance, cancellation rate, and delivery time.
Order Cancellation & Return Analysis (Python + SQL)
Analyzed order cancellations and returns to identify major reasons (late delivery, wrong item, price issues).
Performed root cause analysis and visualized trends using Matplotlib.