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Data Analyst Intern with less than a year in Power BI, Python, and SQL.
Electronics and Communication Engineering graduate (CGPA: 7.45) with hands-on experience in data analytics, Power BI dashboard development, and database management. Proficient in Python, SQL, Power BI, and Excel. Completed industry internship in Python data analytics, working with real-world datasets using Pandas, NumPy, and Matplotlib. Built interactive Power BI dashboards with DAX measures, time intelligence, and synced slicers. Designed relational database systems. Seeking an entry-level role in data analytics, business intelligence, or IT services to drive data-driven decisions.
R.M.D. Engineering College
B.Tech · Electronics and Communication Engineering
November 1, 2021 – April 1, 2025
Narayana Junior College
Intermediate (MPC) · MPC
June 1, 2019 – May 1, 2021
Bala Bharathi E.M. School
SSC - Class X
June 1, 2019 – May 31, 2019
Pantech Solutions, India
Python Data Analytics Intern
May 1, 2024 – June 1, 2024
India, India
Medical Case Dashboard
January 1, 2025 – January 1, 2025
Developed a two-page interactive Power BI dashboard covering Dengue disease surveillance and medical product sales analytics with KPI cards for Total Cases, Active Cases, Critical Cases, and Deaths. Built a Time Intelligence slicer (YTD, MTD, QTD) using DAX SWITCH logic that exclusively filters card visuals, keeping all other charts unaffected. Implemented synced slicers (Area, Country, Year, Fiscal Year) in single-select mode across both report pages, ensuring consistent cross-page filtering for seamless analysis. Wrote advanced DAX measures including TOTALYTD, TOTALMTD, SAMEPERIODLASTYEAR, and custom cumulative calculations; created a Date Table with Fiscal Year logic and page navigation buttons.
AI-Powered Crop Yield Prediction Using Machine Learning
January 1, 2024 – January 1, 2024
Developed a machine learning model to predict crop yield using four key agricultural features: rainfall, temperature, soil pH, and crop type. Implemented and compared Random Forest and Linear Regression algorithms; selected Random Forest based on superior accuracy metrics. Cleaned and preprocessed real-world agricultural datasets using Pandas and NumPy, handling missing values, outliers, and feature scaling. Delivered actionable yield predictions to support data-driven crop planning, improving productivity and promoting sustainable farming.
Ticket Booking System Using MySQL
January 1, 2023 – January 1, 2023
Designed and implemented a fully normalized relational database system to manage movie ticket bookings, cancellations, and seat availability. Enabled users to query available movies, book tickets by theatre and class type, and check real-time booking status using structured SQL queries. Applied database normalization principles (1NF, 2NF, 3NF) to ensure data integrity and eliminate redundancy across tables. Optimized SQL queries for efficient retrieval and transaction management, demonstrating strong database design and querying skills.
Joy of Computing Using Python
NPTEL, IIT Madras
June 1, 2026 – Present
SQL
Infosys Springboard Certification
June 1, 2026 – Present
Python for Data Science
NPTEL Certification
June 1, 2026 – Present
Introduction to Networks
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show a strong interest and foundational skill set in data analytics, business intelligence, and data visualization, which aligns well with a 'Data Analyst Intern' role. The diversity of projects (medical dashboard, crop prediction, ticket booking system) indicates adaptability and a broad curiosity within the data domain. Their focus on practical application of skills (e.g., 'actionable yield predictions', 'data-driven decision making') suggests a results-oriented mindset. The candidate is currently pursuing a B.Tech degree, indicating a commitment to formal education and continuous learning, which generally fits well within a growth-oriented organizational culture.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and skill development through multiple certifications and academic projects. Their project descriptions indicate an ability to work independently on complex tasks, such as designing dashboards and machine learning models. The internship experience suggests an understanding of operational workflows in data analysis. However, without direct assessment of communication or teamwork in a professional setting, it's difficult to fully evaluate soft skills like collaboration or problem-solving under pressure.