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Data Analyst with less than a year in Data Cleaning & 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
Aspiring Data Analyst skilled in Excel, SQL, Python, Statistics, Power BI, Tableau, Data Cleaning, Exploratory Data Analysis (EDA), and Business Intelligence. Experienced in data visualization, dashboard creation, reporting, KPI tracking, and deriving actionable insights from data. Familiar with Machine Learning fundamentals, Cloud technologies, and AI-powered analytics tools.
Jyothishmanthi Institute of Technology and Science
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Microsoft
Microsoft Azure AI Internship
May 1, 2025 – June 1, 2025
India
Retail Sales Analysis Dashboard
June 1, 2026 – Present
Performed data cleaning, transformation, and analysis using SQL and Python. Built interactive Power BI dashboards for KPI tracking and sales monitoring. Conducted EDA and generated business insights through data visualization.
AI-Based Legal Document Analysis
June 1, 2026 – Present
Developed a document analysis system using Python and NLP techniques. Automated text extraction, preprocessing, and summarization workflows. Improved document review efficiency through analytical reporting.
Movie Recommendation System
June 1, 2026 – Present
Built a recommendation system using Machine Learning and Python. Applied data preprocessing, feature engineering, and similarity analysis. Improved recommendation accuracy through model evaluation techniques.
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Data Analytics Certification
Cognizant & ICT Academy
June 1, 2026 – Present
SQL and Relational Databases 101
IBM SkillsBuild
June 1, 2026 – Present
Microsoft Azure AI Internship
Edunet Foundation & AICTE
June 1, 2026 – Present
Python Programming Internship
VaultofCodes
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a proactive approach to learning and skill development through multiple certifications and personal projects. The projects cover diverse areas like retail sales, legal document analysis, and recommendation systems, indicating a broad interest in applying data analysis across different domains. The internship at Microsoft Azure AI also suggests an interest in cutting-edge technologies. This diversity and initiative align well with a culture that values continuous learning and innovation.
Soft Skills & Operational Fit
The candidate lists strong soft skills such as Analytical Thinking, Problem Solving, Data Storytelling, Business Communication, Presentation Skills, and Team Collaboration. These are crucial for a Data Analyst role, indicating a potential for good operational fit and effective collaboration within a team. However, these are self-declared and not validated by assessments.