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Data Engineer Intern with less than a year in Data Analytics & Dashboard Development
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Assessing your cultural and operational fit
Results-driven Computer Engineering graduate with hands-on experience in data analytics, dashboard development and software development. Proficient in Python, MySQL, Pandas and Streamlit for data engineering and analytics workflows. Experienced in building interactive dashboards using Power BI and Streamlit, writing complex SQL queries, designing database schemas and developing end-to-end data pipelines. Passionate about solving real-world problems through data-driven insights and scalable software solutions.
Dr. DY Patil School of Engineering & Technology
B.E. · Computer Engineering
August 1, 2021 – June 30, 2025
St. John's Sr. Sec. School
Class XII · CBSE
June 1, 2020 – May 31, 2020
St. Michael's Sr. Sec. School
Class X · CBSE
June 1, 2018 – May 31, 2018
Shoption Pvt. Ltd
Data Engineer Intern
January 1, 2024 – February 1, 2024
Pune, Maharashtra, India
Financials Dashboard
June 1, 2026 – June 1, 2026
Built interactive Power BI dashboard analyzing sales, profit and quantity across different countries, segments and time periods using Power BI sample dataset. Applied DAX measures for KPI calculations including profit margin, sales growth and segment-wise performance to support financial planning and business strategy.
View ProjectStudent Mental Health Analysis System
May 1, 2026 – May 1, 2026
Designed MySQL database with 3 normalized tables and wrote 15+ SQL queries using JOIN, GROUP BY, CASE WHEN and Window Functions (RANK, NTILE) for risk analysis. Built custom weighted scoring formula in Python computing mental health scores (0-100) using 8 behavioral parameters classifying students as Healthy, Moderate or High Risk. Performed end-to-end data cleaning pipeline using Pandas with missing value handling, type validation and EDA across all parameters. Built interactive Streamlit dashboard with Plotly charts showing risk distribution, course-wise breakdown and individual student radar charts with CSV download feature.
View ProjectCultural Fit Analysis
The candidate's academic projects and internship show a good breadth of skills relevant to a Data Platform Engineer role, including data analysis, visualization, and foundational data engineering tasks. The focus on practical applications and problem-solving aligns well with a dynamic technical environment. The diversity of tools used (MySQL, Python, Pandas, Streamlit, Plotly, Power BI, DAX) indicates adaptability and a willingness to learn new technologies.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven approach and a passion for solving real-world problems through data-driven insights. Their project descriptions indicate an ability to work on end-to-end data pipelines and present findings effectively. The internship experience suggests an ability to contribute to live business projects and collaborate on optimizing data workflows.