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Data Analyst with less than a year in SQL, Power BI, Python for data analysis and visualization.
Resourceful Mechanical Engineering graduate with a strong analytical mindset and growing expertise in data analysis, SQL, and Power Bi and Python (pandas,Matplotlib, NumPy). Experienced in handling engineering datasets, performing trend analysis, process optimization, and visualization to support decision-making. Skilled at applying engineering problem-solving techniques to data-driven challenges, including data cleaning, statistical evaluation, and reporting. Academic projects involved designing systems, analyzing performance metrics, and presenting insights with clarity. Eager to transition into a Data Analyst role, leveraging technical foundation, precision, and a continuous learning attitude to deliver actionable insights and contribute to organizational efficiency
MIC COLLEGE OF TECHNOLOGY
B-TECH MECHANICAL ENGINEERING · Mechanical Engineering
August 1, 2021 – June 30, 2024
MIC COLLEGE OF TECHNOLOGY
DIPLOMA MECHANICAL ENGINEERING · Mechanical Engineering
August 1, 2017 – June 30, 2020
TALENT HIGH SCHOOL
SSC 10TH CLASS
June 1, 2016 – May 31, 2017
Student Management Database System
June 1, 2026 – Present
Designed and implemented a relational database to manage student information, courses, and results. Used SQL queries for CRUD operations, joins, and data analysis.
Sales Data Analysis (Mini Project)
June 1, 2026 – Present
Imported raw sales data into SQL Server for cleaning and transformation. Applied aggregate functions, window functions, and subqueries for insights.
DATA-VISUALIZATION PER PRO
Unknown
June 1, 2026 – Present
Excel for Data Analysis and Visualization ANALYSIS IN ANSYS INTERNSHALA
ANSYS INTERNSHALA
June 1, 2026 – Present
Power BI for Beginners – Simplilearn
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate is an entry-level professional with academic projects. The projects are directly relevant to a Data Analyst role, indicating a clear career interest. The certifications in Excel, Power BI, and Data Visualization further align with the target role. However, the lack of diverse project types beyond academic settings and no professional experience limits the assessment of broader cultural fit or adaptability to different work environments.
Soft Skills & Operational Fit
The candidate's profile highlights an 'analytical mindset' and 'problem-solving techniques' which are crucial for a Data Analyst role. The description of academic projects indicates an ability to work on structured tasks and present insights. However, without specific behavioral assessment data or professional experience, it's difficult to fully assess operational fit, teamwork, or stress handling capabilities.