Data Analyst Intern with less than a year in Cybersecurity Data Analysis & Visualization.
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Graduate of computer science with a keen curiosity in data analysis and data-driven decision making. Proficient in Python, SQL, and data visualisation tools such as Power BI and Tableau, with practical knowledge of data cleansing, exploratory data analysis (EDA), and dashboard construction. Adept in using analytical problem-solving and databases to extract insightful insights and aid corporate choices.
Malla Reddy Engineering College
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Sri Aakash Junior College
Intermediate · Mathematics, Physics, Chemistry
June 1, 2020 – May 31, 2022
Nuclear Fuel Complex (NFC)
Intern Data Analysis (Cybersecurity Domain)
May 1, 2024 – June 1, 2024
Hyderābād, Telangana, India
PhonePe Pulse Data Analysis Dashboard
June 21, 2026 – Present
Using Python, Streamlit, Pandas, and Plotly, created an interactive dashboard to examine PhonePe user, insurance, and transaction data. Designed dynamic filters, KPI measures, interactive charts and displays to examine user involvement and transaction patterns throughout geo-maps of Indian states.
Bank Management System using SQL and Python
June 21, 2026 – Present
Developed a banking management system using Python and SQL for efficient customer and transaction management. Utilized Pandas and SQL queries for data processing, retrieval, and analysis. Implemented CRUD (Create, Read, Update, Delete) operations and generated insights from structured banking datasets.
Breast Cancer Detection using Machine Learning
June 21, 2026 – Present
Using Pandas, NumPy, Matplotlib, and Seaborn, conducted data preprocessing, exploratory data analysis (EDA), and feature analysis. Multiple machine learning models were trained and assessed; Decision Tree Classification was chosen as the best-performing one.
Data Analyst Course
Simplilearn
June 1, 2026 – Present
Power BI Micro Course
Skill Course
June 1, 2026 – Present
Python Certification
Cisco
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse personal projects (data analysis dashboard, bank management system, breast cancer detection) demonstrate initiative and a broad interest in applying data skills across different domains. The internship in a cybersecurity domain shows adaptability and a willingness to explore varied applications of data analysis. This breadth of interest and self-driven learning aligns with a culture that values continuous improvement and diverse problem-solving approaches.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and deliver functional solutions. The internship experience suggests an ability to collaborate within a team (cybersecurity team) and apply analytical skills in a real-world context. The focus on data-driven decision-making aligns well with an analytical role.