Data Engineer in Training with Python & SQL & machine learning skills

YAGGOLI BHANU SREE

******************@*****.*** +91-863******* https://www.linkedin.com/in/bhanu-

sree118306363 Hyderabad, Telangana

PROFESSIONAL SUMMARY

Certified Data Science Professional and Aspiring Data Analyst with expertise in SQL, Python, Power BI, and Advanced Excel. Skilled in analyzing large datasets, building interactive dashboards, and generating actionable business insights. Adept at data cleaning, exploratory data analysis (EDA), and visualization, transforming raw data into insights that improve reporting efficiency and support strategic decisions. Seeking a Data Analyst role to leverage analytical and technical skills for impactful solutions. TECHNICAL SKILLS

• Programming & Analytics: Python (Pandas, NumPy, Matplotlib, Seaborn)

• Databases & Querying: SQL, MySQL (Joins, Subqueries, Stored Procedures, Views, Query Optimization)

• Business Intelligence & Visualization: Power BI (DAX, Power Query, Data Modeling), Advanced Excel

(Pivot Tables, VLOOKUP, INDEX-MATCH, Macros, Charts, Conditional Formatting)

• Machine Learning: Regression, Classification, Clustering, Feature Engineering, Model Evaluation

• Core Data Skills: Data Cleaning, EDA, Data Transformation, Reporting, Data Visualization. PROJECTS

Customer Sales & Insights Analysis SQL, Python & Power BI

• Extracted and aggregated 100K+ customer, sales, and product records from SQL tables using joins, subqueries, and aggregations.

• Performed data cleaning, EDA, and feature engineering in Python (Pandas, NumPy, Matplotlib, Seaborn).

• Developed an interactive Power BI dashboard showing revenue trends, top products, and regional sales performance.

• Impact: Provided actionable insights to sales teams, enabling better decision-making and optimized inventory planning.

Amazon Sales Analysis SQL & Power BI

• Analyzed 50K+ Amazon sales records using SQL queries to extract and aggregate sales, revenue, and customer data.

• Built SQL views and stored procedures to automate reporting for repeated analysis.

• Developed an interactive Power BI dashboard showing sales trends by product, category, and region.

• Highlighted top-performing products, regional revenue contributions, and customer purchase patterns.

• Optimized SQL queries and dashboard calculations to reduce report generation time by 30%. Customer Churn Prediction Python & Machine Learning

• Developed predictive models (Logistic Regression, Random Forest) with 85% accuracy to classify churn risk.

• Performed EDA, feature engineering, and hyperparameter tuning, improving model precision by 15%.

• Delivered insights into churn drivers (tenure, service usage, payment methods), enabling targeted retention campaigns.

Sales & Revenue Dashboard Power BI

• Created an interactive Power BI dashboard to track sales and revenue performance across multiple regions and product categories.

• Applied Power Query transformations and DAX measures to calculate total revenue, profit margins, growth rates, and KPIs.

• Visualized trends with line charts, bar charts, slicers, and maps to highlight top-selling products, seasonal patterns, and underperforming regions.

• Provided insights that enabled management to optimize sales strategy, improve revenue, and track key business metrics.

CERTIFICATIONS

• Certified Data Science Professional – Odin School (Feb – Jul 2025)

• Diploma in Computer Applications (DCA) – GIIT

EDUCATION

• Bachelor of Commerce – Computers, Indian Institute of Management and Commerce, Hyderabad.

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