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Data Science with less than a year in SQL, 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
Highly analytical and detail-oriented Data Science professional with expertise in SQL, PL/SQL, Python and Microsoft Power BI. Skilled in data extraction, transformation, visualization and database management.
College Of Agricultural Biotechnology, Loni
B.Tech · Biotechnology
N/A – June 30, 2022
Bapuji Sahadu Kadu Patil Junior College, Satral
HSC
N/A – May 31, 2017
Shrimati Kondabai Nanasaheb Kadu Patil Kanya Vidyalaya, Satral
SSC
N/A – May 31, 2015
FARMER MANAGEMENT SYSTEM
June 20, 2026 – Present
The Farmer Management System is a robust solution that manages farmer details, treating farmers as customers within the system. It is essential to maintain accurate records of each farmer's personal information, including names, contact numbers, addresses, identification details, and more.
KNOW YOUR CUSTOMER (KYC) VERIFICATION
June 20, 2026 – Present
The object of this project is to review and verify the customers which are not active account, status as account closed and also check KYC is pending such customers, we move to back-up table and maintain valid records in Summary Dashboard for user to review. We maintaining the audit entry as well for deleting records.
Oracle SQL, PL/SQL and MS SQL
IT Institute Itpreneur, Pune
June 1, 2026 – Present
Python
Unknown
June 1, 2026 – Present
Microsoft Power BI (Business Intelligence)
Unknown
June 1, 2026 – Present
Google Analytics Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects, while demonstrating technical skills, are limited in diversity and scope, focusing primarily on database management. The target role is 'Data Science', but the projects and experience lean more towards data engineering/database administration. The breadth of skills includes SQL, PL/SQL, Python, and Power BI, which are relevant, but the application in projects is basic. The lack of professional experience and diverse project types limits the assessment of cultural fit beyond a foundational understanding of data-related tasks.
Soft Skills & Operational Fit
The candidate's resume highlights a 'highly analytical and detail-oriented' approach, which is beneficial for data science roles. The academic projects demonstrate an ability to manage data and implement verification processes, suggesting an operational fit for roles requiring meticulous data handling. However, without specific psychometric or English test results, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.