Data Analyst with less than a year in Python, SQL & Power BI
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Assessing your cultural and operational fit
Entry-level Data Analyst with hands-on experience in Python, SQL, MS Excel, and Power BI, specializing in data analysis, reporting, and business intelligence. Proficient in data cleaning, exploratory data analysis (EDA), KPI development, and dashboard creation. Experienced in analyzing large datasets to deliver actionable insights, support data-driven decision making, and improve business performance.
MARATHWADA INSTITUTE OF TECHNOLOGY, DR. BATU UNIVERSITY
Bachelor of Technology · Computer Science
N/A – June 30, 2025
Test Yantra Software Solutions Private Limited
Data Analyst Intern
February 1, 2025 – August 31, 2025
Pune, Maharashtra, India
Diwali Sales analysis
June 1, 2025 – June 30, 2025
Conducted exploratory data analysis (EDA) on Diwali sales data to understand customer purchasing behavior. Analyzed demographic factors such as age, gender, occupation, and region to identify key drivers of sales. Used Python libraries (Pandas, NumPy, Matplotlib, Seaborn) to identify sales trends and high-performing product categories. Generated actionable insights to support sales optimization and targeted marketing strategies during the festive season.
Sales Power BI Dashboard
March 1, 2025 – March 31, 2025
Designed an interactive Power BI dashboard to monitor sales KPIs, revenue trends, and targets vs actuals. Cleaned and transformed Excel data using Power Query; built data models and relationships. Created DAX measures for sales, growth, and performance metrics. Visualized region-wise, product-wise, and customer-level insights with slicers and filters to support data-driven decisions.
SQL Sales Insights Mini-Project
February 1, 2025 – February 28, 2025
Wrote complex SQL queries using JOINs, CTEs, subqueries, and window functions to analyze sales and customer data. Calculated key business KPIs such as total sales, average order value, and customer-wise performance. Generated actionable insights on product performance and customer behavior to support data-driven decision-making.
Cultural Fit Analysis
The candidate's academic projects and internship experience align well with a Data Analyst role, showcasing a focused interest in data analysis, visualization, and business intelligence. The diversity of tools used (Python, SQL, Power BI, Excel) and project types (sales analysis, dashboard creation) indicates adaptability and a broad skill set relevant to various data challenges. Their academic background in Computer Science further strengthens their analytical foundation.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their internship experience, where they presented data-driven insights to stakeholders. Collaboration with cross-functional teams for KPI definition and monitoring indicates good teamwork and operational fit. The ability to automate reports suggests a proactive approach to efficiency.