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Data Analyst with less than a year in Data Cleaning & Visualization using Python 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
Data Analyst with hands-on experience in data cleaning, exploratory data analysis (EDA), and dashboard development using Python, SQL, Excel, and Power BI. Proven ability to process large datasets (50K+ records), build data models, and generate KPI-driven insights to support business decisions. Strong background in transforming raw data into actionable insights through data visualization, statistical analysis, and structured reporting. Experienced in working with real-world datasets and applying problem-solving skills to improve efficiency, identify trends, and optimize performance.
JNTU Hyderabad
Bachelor Of Technology
N/A – Present
Codilar Technologies Pvt Ltd
Support Engineer
July 1, 2023 – March 1, 2024
India
End-to-End Data Cleaning & EDA (Python)
June 23, 2026 – Present
Processed and cleaned 50,000+ records using Pandas and NumPy by handling missing values, duplicates, and inconsistent formats. Automated data cleaning workflows, improving data preparation efficiency by 30%. Performed exploratory data analysis to identify trends, correlations, and anomalies using Matplotlib and Seaborn. Generated structured insights to support data-driven decision-making.
View ProjectRetail Sales Data Analysis (Power BI + SQL)
June 23, 2026 – Present
Analysed retail dataset to evaluate sales performance across regions, products, and time periods. Built a Power BI data model using Power Query and DAX measures for KPI tracking. Developed interactive dashboards to monitor revenue, profit margins, and regional performance. Identified key profit-loss drivers, improving business insight visibility and reporting efficiency by 25%.
Data Analytics Certification
Entri Elevate
June 1, 2026 – Present
Data Analytics Certification
Illinois Tech
June 1, 2025 – January 1, 2026
Cultural Fit Analysis
The candidate's project diversity, covering both Python-based data cleaning/EDA and Power BI/SQL for retail sales analysis, shows a breadth of application. Their professional experience as a Support Engineer, while not directly a Data Analyst role, involves significant data analysis for troubleshooting and performance optimization, indicating an analytical mindset and adaptability. The certifications further align with the target role, suggesting a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, project management, adaptability, and time management skills, which are crucial for a Data Analyst role. Their experience in a support engineering role, performing RCA and collaborating with cross-functional teams, indicates an ability to work in operational environments and contribute to system reliability.