Data Analyst with 2+ years in Data Analysis & Python
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Assessing your cultural and operational fit
Highly motivated aspiring Data Analyst completing a rigorous data analytics certification, equipped with a solid foundation in statistical analysis, data modeling concepts, and critical thinking. Proficient in Excel for data cleaning and manipulation. Seeking an entry-level opportunity to leverage strong problem-solving skills and a detail-oriented approach to transform complex data into actionable insights that drive informed decision-making. Committed to continuous learning and professional growth in the dynamic field of data analytics.
Mount Seena Arts and Science College
Graduation
August 1, 2018 – June 30, 2021
Sree Shankara Oriental Higher Secondary School
Higher Secondary
June 1, 2016 – May 31, 2018
Mount Seena Public School
SSLC
June 1, 2015 – May 31, 2016
Atees Info media Pvt Ltd
Data Analytics Intern
August 1, 2025 – December 1, 2025
India
Allen Technologies
Tally Developer
June 1, 2023 – March 1, 2025
India
Unique Occasio Tech
Python Developer Intern
October 1, 2022 – April 1, 2023
India
Analysis of Social Media Addiction and Its Impact on Student Behavior
June 21, 2026 – Present
Collected and analyzed student survey data (300+ responses) to study social media usage patterns. Performed data cleaning and transformation using Excel and Power BI to prepare structured datasets. Conducted exploratory data analysis (EDA) to identify correlations between screen time and academic performance. Developed interactive Power BI dashboards to visualize trends, addiction levels, and behavioral insights. Identified key risk factors influencing productivity and study habits among students.
Financial Trend Analysis Using Data Analytics
June 21, 2026 – Present
Analyzed financial datasets to identify spending patterns, income trends, and investment behavior. Performed data preprocessing and cleaning using Python (Pandas) and Excel. Conducted time-series analysis to detect monthly and yearly financial trends. Built interactive dashboards in Power BI to visualize income vs expense trends and sector performance. Generated data-driven insights to support financial decision-making.
Online Car Parking System
June 21, 2026 – Present
Developed a web-based parking management system to automate parking slot allocation and booking. Designed the backend using Python and built the interface using HTML and CSS. Implemented database management and user authentication features for efficient parking management. Improved parking efficiency by enabling real-time slot availability tracking.
Online Pet shop
June 21, 2026 – Present
Developed a web application for buying, selling, and adopting pets online. Built the system using Python, HTML, CSS, Bootstrap, and JavaScript. Implemented user authentication, product listings, and search functionality for better user experience. Designed a responsive interface to improve usability and accessibility.
Certification in Data Analytics
Unknown
September 1, 2025 – Present
Certification in Python
Unknown
October 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects show a good breadth of data analysis applications, from social media behavior to financial trends. Their internship as a Data Analytics Intern aligns directly with the target role. The Tally Developer role, while not directly a Data Analyst position, involved data migration, reporting, and dashboard creation, which are transferable skills. The Python Developer Intern role provided a strong programming foundation. This diversity of experience, even if academic or internship-based, suggests an eagerness to learn and apply skills across different domains, indicating a good cultural fit for a dynamic data team.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving ability, and a willingness to learn, which are crucial for a Data Analyst role. Their experience in developing web applications also indicates adaptability and teamwork. However, the resume lacks specific examples of communication in a professional data analysis context, which is vital for presenting insights to stakeholders.