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Data Analyst with less than a year in Data Analysis & Visualization
Motivated and detail-oriented graduate with a strong foundation in data analysis, statistics, and data visualization. Skilled in Python, SQL, Excel, and Power BI. Eager to apply analytical and problem-solving skills to extract meaningful insights and support data-driven decision-making in a dynamic organization. Experienced in data analytics, statistical analysis, and data visualization to support business decision-making. Proficient in Python, SQL, Excel, Power BI, and Tableau for data analysis, reporting, and dashboard development. Experienced in data cleaning, preprocessing, and handling large datasets to ensure accurate and reliable analysis. Skilled in Exploratory Data Analysis (EDA) to identify trends, patterns, and actionable insights from complex datasets. Hands-on experience in data manipulation, visualization, and building analytical dashboards through academic and practical projects. Strong problem-solving, communication, and presentation skills with the ability to translate data insights into business value. Quick learner with the ability to collaborate effectively in team environments and adapt to new analytical tools and technologies. Experienced in creating interactive dashboards and reports to monitor KPIs, track performance metrics, and support data-driven decision-making. Familiar with data visualization best practices and storytelling with data to present insights clearly to technical and non-technical stakeholders.
KMCT COLLEGE OF ENGINEERING
B.Tech · CIVIL ENGINEERING
August 1, 2020 – June 30, 2024
SkyBook Digital
Data Analyst
August 1, 2025 – Present
India
NETFLIX DATASET ANALYSIS
June 18, 2026 – Present
Performed Exploratory Data Analysis (EDA) on the Netflix dataset using Python (Pandas) by cleaning and preprocessing data, handling missing values, and developing visualizations with Matplotlib and Seaborn to analyze genre distribution, release trends, and country-wise content production.
LUMINAR TECHNO LAB
July 1, 2024 – March 1, 2025
Developed a Python-based Currency Converter integrated with a live exchange rate API to enable real-time multi-currency conversion, implementing error handling and a user-friendly interface to ensure accurate results and efficient input validation.
Cultural Fit Analysis
The candidate's projects, though academic, show a diverse application of data analysis skills, from entertainment datasets to real-time currency conversion. Their stated objective and profile summary emphasize a collaborative and adaptable mindset, suggesting a good cultural fit for organizations that value data-driven decision-making and continuous learning. The experience in analyzing various business functions (HR, sales, SEO) at SkyBook Digital further indicates adaptability to different departmental needs.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, critical thinking, and communication skills, as evidenced by their project descriptions and profile summary. Their ability to translate data insights into business value and present them clearly to stakeholders indicates good operational fit. The profile also highlights a quick learning ability and effective team collaboration, which are crucial for a dynamic work environment.