Data Analyst with less than a year in data analysis, cleaning, and dashboard development
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Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in data analysis, data cleaning, and dashboard development. Skilled in Python, SQL, Excel, and Power BI to generate data-driven insights.
Eranad Knowledge City Technical Campus
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2021 – June 30, 2025
RP2
Data Science Intern
June 1, 2025 – December 1, 2025
India
Text Sentiment Analyzer – NLP & Machine Learning Project
June 23, 2026 – Present
Designed an NLP-based web application using Python, Flask, and Scikit-learn for sentiment classification. Implemented text preprocessing, stemming, and TF-IDF feature extraction using NLTK. Trained a Logistic Regression model for real-time sentiment prediction with confidence scores.
Customer Churn Analysis
June 23, 2026 – Present
Analyzed customer data using SQL and Python to identify churn patterns and customer behavior. Performed data cleaning, preprocessing, and exploratory data analysis (EDA) to improve data quality. Developed dashboards in Power BI to track churn trends and visualize business insights. Generated reports and actionable insights to support data-driven decision-making.
Sales Performance Dashboard
June 23, 2026 – Present
Performed data cleaning and analysis on sales datasets using Microsoft Excel. Created Pivot Tables and charts to track sales performance. Applied VLOOKUP, SUMIF, and IF functions to organize and analyze data. Built a dashboard to present sales insights and trends.
SQL (Basic) Certification
HackerRank
January 1, 2026 – Present
Data Science with Generative AI – RP2
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate shows a good cultural fit for a data-driven organization, demonstrating initiative through personal projects in diverse areas like sentiment analysis, customer churn, and sales performance. The internship at RP2 and certifications indicate a proactive approach to learning and applying new technologies, including Generative AI. The breadth of tools and techniques used (Python, SQL, Excel, Power BI, ML, NLP) suggests adaptability and a willingness to explore different problem domains.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end data analysis tasks, from data cleaning to insight generation and dashboard development. The internship experience suggests collaboration with developers for deployment, indicating a team-oriented approach. The focus on generating actionable insights aligns with operational needs for data-driven decision-making.