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Data Analyst with 4+ years in Data Cleaning, SQL, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled Data Analyst with 4.3 years of experience in data cleaning, exploration, and visualization. Proficient in Python (Pandas, NumPy), SQL (MySQL, MS SQL Server), and BI tools like Power BI and advanced Excel. Demonstrated ability to analyze complex datasets, identify trends, and derive actionable insights from various projects, including sales performance and COVID data analysis. Completed advanced certifications in Excel and SQL for data analytics.
Anna University
Bachelor of Engineering · ECE
August 1, 2016 – June 30, 2020
4M Career
Recruitment Consultant
March 1, 2022 – January 1, 2024
India
Pepper India Pvt ltd
Executive
March 1, 2021 – February 1, 2022
Vellore, Tamil Nadu, India
Data Cleaning and Exploration
June 1, 2026 – June 1, 2026
Conducted thorough data cleaning on a 10,000 record dataset in Excel ensuring data integrity. Utilized Excel functions like filtering, conditional formatting and pivot tables for efficient analysis. Analyzed a COVID dataset of 10,000 records using SQL revealing key insights.
Car Sales Performance Analysis
June 1, 2026 – June 1, 2026
Analysed sales performance of 20,000 cars using Excel to identify trends and patterns enabling a 20% faster understanding of sales performance. Summarized total sales with charts by using the product category, time and allowing the user to dynamically identify key metrics impacting sales. Interpreted trends in complex data sets by finding correlations between them and visualizing the results using SQL and Power BI.
Data Analytics Virtual Internship (Simulation) - Forage
January 1, 2024 – January 1, 2026
Completed advanced Excel & SQL certifications. Built Power BI dashboards, Practiced data cleaning on 10k-25k record datasets.
SQL Intermediate level
HackerRank
June 1, 2026 – Present
Excel and SQL for Data Analytics
IBM Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including professional and simulated internships, shows initiative in skill development relevant to data analytics. While previous roles in recruitment and customer support are not directly data analyst positions, they involve data handling and reporting, indicating a foundational understanding of business operations. The breadth of skills includes SQL, Excel, Power BI, and Python (Pandas, NumPy), which aligns well with a data analyst role. The candidate appears to be proactive in acquiring new skills through certifications and virtual internships.
Soft Skills & Operational Fit
The candidate demonstrates an ability to manage and update databases, track performance metrics, and generate reports, which indicates good organizational and operational skills. Experience in customer support and recruitment suggests strong communication and client interaction abilities, although the direct relevance to a Data Analyst role's core technical communication needs is limited. The project descriptions highlight problem-solving through data analysis.