Data Analyst with less than a year in SQL, Excel, Power BI, and Python for data analysis and reporti
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Data Analyst with hands-on experience in transforming complex datasets into actionable business insights through data visualization, dashboard development, and exploratory analysis. Skilled in SQL, Python, Power BI, Excel, ETL, and KPI monitoring with a strong understanding of data cleaning and business intelligence. Passionate about leveraging analytical and problem-solving skills to support operational efficiency and data-driven decision-making.
Srinath University
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2022 – June 30, 2025
JAC Board
Intermediate (12th)
June 1, 2022 – May 31, 2022
ICSE Board
Matriculation (10th)
June 1, 2020 – May 31, 2020
Adityapur Auto Cluster
Data Analyst Intern
April 1, 2026 – June 1, 2026
Jamshedpur, Jharkhand, India
Healthcare Billing Data Validation
June 1, 2026 – Present
Validated healthcare billing datasets using SQL and Excel to identify inconsistencies, duplicate entries, and missing values. Applied preprocessing and transformation techniques to strengthen billing accuracy and operational reliability. Built automated summary reports that reduced manual verification efforts by approximately 25%. Enhanced healthcare workflow efficiency through structured and accurate data management practices.
Customer Sales Data Analysis
June 1, 2026 – Present
Analyzed customer purchasing trends and sales performance using SQL and Power BI, improving visibility into regional revenue patterns and business operations. Built KPI dashboards and automated reporting processes, reducing report preparation time by nearly 35% and improving monitoring efficiency. Performed exploratory data analysis on customer purchasing data to identify trends, anomalies, and high-performing product categories. Supported business decision-making by generating actionable insights and improving reporting efficiency through dashboard automation.
Employee Data Cleaning and Analysis
June 1, 2026 – Present
Cleaned and transformed employee datasets using SQL, Excel, and Python to improve data quality and consistency. Utilized Pandas and NumPy libraries to identify workforce trends and operational anomalies through exploratory analysis. Prepared dashboard-ready datasets and structured summaries for workforce monitoring and operational evaluation. Supported HR planning and decision-making through reliable and organized business insights.
CDLT Certification
Anudip Foundation
June 1, 2026 – Present
Advanced Python Programming
Pantech eLearning
June 1, 2026 – Present
SQL Certification
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains such as healthcare billing, customer sales, and employee data, indicating a broad interest in applying data analysis skills across different business contexts. The internship experience aligns well with the target role of a Data Analyst, showing practical application of learned skills. The certifications in SQL and Python further demonstrate a commitment to skill development relevant to the role. However, the experience level is very junior, which might require significant mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with teams and support data-driven decision-making, as evidenced by their internship description. Their project work highlights a focus on improving operational efficiency and accuracy through structured data management and automated reporting. The candidate appears to be detail-oriented, especially in data validation and cleaning tasks.