Data Analyst with less than a year in Data Analytics & Power BI
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Entry-Level Data Analyst with 6 months of internship experience applying Excel, SQL (MySQL), Python, and Power BI to solve real-world business problems. Experienced in Exploratory Data Analysis (EDA), data cleaning, validation, transformation, and ETL processes on datasets containing 5M+ records, ensuring high data accuracy and reliability. Proven ability to convert complex datasets into interactive, KPI-driven dashboards that support stakeholder decision-making, identify trends, and improve business performance through data-driven insights.
Bharati Vidyapeeth's College of Engineering for Women - Pune, Maharashtra
Bachelor of Engineering · Information Technology
December 1, 2021 – June 1, 2025
NMD InfoTech Pvt Ltd
Data Analyst Intern
December 1, 2025 – May 31, 2026
Pune, Maharashtra, India
AQI Data Analysis Project
December 1, 2025 – January 1, 2026
Analyzed 36K+ Air Quality Index (AQI) records to identify pollution trends and key contributing factors impacting air quality. Implemented median imputation and IQR-based outlier detection techniques to enhance data quality by 15%. Conducted Exploratory Data Analysis (EDA) using heatmaps and boxplots to uncover patterns and anomalies. Delivered data-backed insights to support environmental policy recommendations and trend monitoring.
SaaS Customer Churn Analysis Dashboard
September 1, 2025 – October 1, 2025
Analyzed customer subscription data to identify churn patterns, high-risk plans, and customer retention issues. Designed a relational database schema in MySQL and performed data extraction and transformation in Power BI. Built DAX measures including churn rate, active subscriptions, Monthly Recurring Revenue (MRR), and retention metrics. Developed an interactive Power BI dashboard enabling stakeholders to monitor churn trends, compare plan performance, and support data-driven retention strategies.
The Python Bootcamp
Udemy
June 1, 2026 – Present
Certificate of Completion – Data Analyst
NMD InfoTech Pvt. Ltd.
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills to diverse problems (environmental data, SaaS churn). The internship experience shows an ability to work in a professional setting and contribute to business objectives. The combination of academic background, certifications, and practical projects suggests a motivated individual eager to grow in the data analysis field. However, the limited professional experience (6 months internship) means less exposure to complex team dynamics and broader organizational culture.
Soft Skills & Operational Fit
The candidate's experience in collaborating with stakeholders to translate business requirements into data-driven solutions indicates good communication and problem-solving skills. Automation of reporting workflows suggests an operational efficiency mindset. The project descriptions highlight an ability to deliver actionable insights, which is crucial for a data analyst role.