> Worked on real-world projects, applying skills in data manipulation, statistical analysis, and machine learning to solve complex business problems.> Received mentorship from experienced professionals, accelerating learning curve and fostering growth.> Developed Python, R, SQL, and Tableau skills through hands-on experience using industry-standard technologies.> Gained confidence in handling large datasets and deriving actionable insights.> Emphasized effective communication and data visualization skills to convey recommendations to stakeholders.> Transformed my career path and gained expertise to thrive in data science and business analytics.

SDLC (Software Development Life Cycle):> Participated in projects covering the entire Software Development Life Cycle (SDLC), getting a comprehensive understanding of requirements gathering, design, coding, testing, deployment, and maintenance This included implementing functionalities in languages such as C, Java, Python and PHP.Relational Database Management Systems (RDBMS):> Acquired hands-on expertise with Relational Database Management Systems (RDBMS) such as MySQL and Oracle. Executed complex SQL queries, demonstrating proficiency in database manipulation, optimization, and data retrieval.Excel Proficiency:> Demonstrated advanced skill in Microsoft Excel by strategically implementing a robust set of tools such as Excel functions, formulas, and PivotTables. This strategic use not only streamlined data-related duties, supporting efficient workflows within the department, but also played a critical role in automating repetitive jobs, considerably contributing to the overall efficiency of departmental procedures.Quality Assurance (QA):> Contributed to Quality Assurance processes by designing and executing test cases, employing languages such as Java, Python, and JavaScript to systematically identify and address software defects.