Priya B

Data Analyst
India
Kannada, Telugu, English

About Me

BCA graduate with hands-on experience in SQL, Python, Power BI, and Excel, specializing in transforming large datasets (60k+ rows) into actionable business insights. Skilled in data cleaning, exploratory data analysis, v…

Experience

Data Analyst

Personal Portfolio
Sep 2025 - Present · 1 year 1 month

<p>Analyzed 60k+ EV charging records; identified high-ROI zones across 5k+ U.S. cities.<br>
Developed “Stress Score” algorithm; built interactive Power BI dashboards saving 10+ hrs/week.<br>
Conducted Python EDA to identify high-risk churn segments; integrated DAX-driven dashboards.<br>
Revealed 55% churn in key segments; guided targeted retention strategies.<br>
Scripted 10+ advanced SQL queries (RANK, LAG, window functions) for insights on customers, stores, and categories.<br>
Segmented customers into Gold, Silver, Bronze; detected anomalies across 8 business questions.<br>
Built dashboards combining sales and 2024 U.S. population data; created “Sales Per Capita” metrics.<br>
Automated ETL via Power Query; streamlined reporting and analysis for decision-making.</p>

Data Analyst

self employed · Karnataka, India
Aug 2025 - Present · 1 year 2 months

<p>Completed multiple hands-on analytics projects using Python, SQL, Power BI, and Excel.</p><p>Built dashboards, performed data cleaning, and derived actionable business insights from 60k+ records.</p><p>Developed algorithms like “Stress Score” for EV Infrastructure investment analysis.</p>

PROJECTS

EV Infrastructure Stress Analysis

Duration : 29-Nov-2025 - 30-Dec-2025

<p>Analyzed 60k+ EV charging records to identify high-ROI investment zones across 5k+ U.S. cities. Developed a “Stress Score” algorithm and built an interactive Power BI dashboard, automating reporting and saving 10+ hours/week.</p>

Business-Analysis-Pagila-SQL

Personal Portfolio / Independent Project · https://github.com/priya-codewithpoo/Business-Analysis-Pagila-SQL
Duration : 30-Oct-2025 - 29-Nov-2025

<p>Scripted 10+ advanced SQL queries (RANK, LAG, window functions) for insights on customers, stores, and categories. Segmented customers into Gold, Silver, Bronze; detected anomalies across 8 business questions. </p>

Skills

Analytics ETL Data Integration and Transformation (ETL) Excel Python Structured Query Language (SQL) Data Analysis Data Modeling Data Visualization Power BI MySQL PostgreSQL Pandas NumPy Scikit-learn Matplotlib Seaborn Jupyter DAX Power Query Pivot Tables VLOOKUP Macros Tableau GitHub ETL Processes Data Wrangling Validation Anomaly Detection Root Cause Analysis (RCA) 5 Whys Data Quality Assurance Analytical Problem Solving Stakeholder Communication Team Collaboration Detail Oriented
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