Data Analyst with less than a year in Data Analytics & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with an MCA degree with a strong interest in Data Analytics and Business Intelligence. Skilled in SQL, Python, Excel, and Power BI, with experience building interactive dashboards and analyzing business data through academic and personal projects. Looking to apply analytical and analytical and problem-solving skills to real-world business challenges.
Hindustan College of Arts and Science, Chennai
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
Mohamed Sathak College of Arts and Science, Chennai
Bachelor of Computer Applications (BCA)
August 1, 2022 – June 30, 2024
Vcodez
Machine Learning Intern
February 1, 2025 – May 1, 2025
Chennai, Tamil Nadu, India
DietBuddy – NLP-Powered Meal Recommendation System
June 27, 2026 – Present
Built a data pipeline that analyzed user journal text using NLP to extract dietary preferences and patterns. Designed a content-based and rule-based recommendation engine using structured data stored in MongoDB. Created an interactive Streamlit dashboard to display personalized recommendations in real time.
Customer Behavior Analysis Dashboard
June 27, 2026 – Present
Analyzed customer purchase data using Python and SQL to identify key business trends and consumer behavior. Executed data cleaning, transformation, and analytical queries on PostgreSQL for actionable insights. Designed a Power BI dashboard featuring revenue analysis, customer segmentation, and product performance metrics.
Telecom Customer Churn Analysis Dashboard
June 27, 2026 – Present
Performed customer churn analysis on 7,000+ telecom customer records to uncover factors influencing customer retention and attrition. Built an interactive Power BI dashboard featuring churn rate analysis, contract-type insights, internet service performance, and revenue-at-risk monitoring. Utilized Power Query and DAX to clean, transform, model data, and create dynamic KPIs for executive-level reporting.
MERN Stack Attendance Management System
June 27, 2026 – Present
Designed and managed a MongoDB database schema to store and query attendance records efficiently. Implemented backend data flow to track, update, and retrieve structured attendance data across users. Built reporting views to present attendance trends in a clear, structured format.
Master Data Analysis: Python, EDA, Stats, Excel, SQL, Power BI/Tableau, Predictive Analytics & ETL
Udemy
June 1, 2026 – Present
Data Analytics with Excel
Ace Academy, Sunstone
June 1, 2026 – Present
Microsoft Excel Advance Level
Microsoft × Naan Mudhalvan
June 1, 2026 – Present
Full Stack Development Summer Training
Coding Blocks × Hindustan College of Arts & Science
June 1, 2026 – Present
Harnessing AI in High Performance Advanced Computing
AICTE ATAL Academy
June 1, 2026 – Present
Cyber Security and Digital Safety Essentials
Microsoft × Naan Mudhalvan
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse technologies (Python, SQL, Power BI, NLP, MERN stack). The range of certifications indicates a commitment to continuous learning and skill development, which aligns well with a growth-oriented culture. The projects also show an interest in solving real-world business challenges, suggesting a results-driven mindset. However, the lack of professional experience beyond a short internship limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business problems into analytical solutions and present findings clearly through dashboards. The internship experience suggests a capacity for practical application of ML concepts and automation. However, without direct interview data, specific soft skills like teamwork, problem-solving under pressure, or communication style cannot be fully assessed.