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Data Analysts (Intern) with less than a year in Data Analysis & Python
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Data Analyst Intern with 7 months of experience in designing and optimizing relational databases, developing interactive Power BI dashboards, and conducting thorough data cleaning and exploratory data analysis using Python. Proven ability to translate data into actionable insights and streamline reporting processes, making data-driven decisions in real time.
Jawaharlal Nehru National College of Engineering
B.E · Information Science and Engineering
September 1, 2008 – June 1, 2013
Kasturba college
12th · Science with Physics
June 1, 2006 – May 1, 2008
Bosscoder
Data Analyst intern
June 1, 2025 – January 1, 2026
India
Coffee Chain Sales Analysis
October 1, 2025 – June 1, 2026
Conducted sales and profitability analysis for a coffee chain across 1,000+ records. Identifying underperforming products and regions and recommending pricing/marketing adjustments. Built charts (line, bar, stacked) to show monthly sales, profitability by product type, and target vs. actual performance. Leveraged Python (Pandas, Matplotlib) and Excel to deliver dashboards that improved reporting efficiency by 30%.
Customer Churn Prediction and Analysis System
August 1, 2025 – June 1, 2026
Designed and implemented a relational database in SQL to store and query thousands of customer records, ensuring efficient data management and accessibility for analysis. Applied Python (Pandas, NumPy) for preprocessing and exploratory data analysis (EDA), handling missing values, outliers, and categorical encoding to improve dataset quality and reliability. Created detailed visualizations using Matplotlib, Seaborn, and Plotly to uncover churn patterns, customer demographics, and behavioral trends, enabling stakeholders to identify risk factors. Validated model performance through cross-validation, confusion matrices, and ROC curves, ensuring robustness and generalizability across datasets.
Data Analyst
Unknown
June 1, 2026 – Present
Oracle Certified Java Programmer (OCJP) – Proficient in OOP, collections, multithreading, exception handling, and design patterns.
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a practical, results-oriented approach to data analysis, aligning with a culture that values actionable insights. The inclusion of an Oracle Certified Java Programmer certification, while not directly related to data analysis, indicates a breadth of technical interest and a commitment to formal learning, which could be a positive cultural fit for organizations that encourage continuous skill development. However, the target role is 'Data Analysts (Intern)', and the candidate's experience level is 0, which aligns with an intern position. The projects and internship are relevant to the target role.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving and time management as soft skills. The project descriptions indicate an ability to work through data analysis pipelines from data acquisition to visualization and insight generation. The internship experience suggests an operational fit for roles requiring data manipulation, visualization, and reporting.