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Sakshi ShettySS
Open to opportunities

Sakshi Shetty

@sakshishetty1

I turn business data into clear dashboards, insights, and informed decisions.

India
Message

What I'm looking for

I'm seeking a dynamic organization where I can use data analysis, Python, SQL, Excel, and Power BI to uncover insights, solve business challenges, and grow through continuous learning.

I've supported data-driven business decisions through internships at Eargs Learning Solutions and Corizo, working with structured datasets from collection and cleaning through reporting and analysis.

At Eargs Learning Solutions, I queried and analyzed data with SQL, tracked KPIs, and created Excel and Power BI reports, dashboards, and presentations for stakeholders. I also collaborated with cross-functional teams to clarify analytics requirements and maintain reporting documentation.

During my Data Science and Machine Learning internships at Corizo, I cleaned and preprocessed data, identified trends, performed exploratory data analysis, and applied feature engineering. I built and evaluated classification, prediction, and pattern-recognition models using Python, NumPy, Pandas, Scikit-learn, and Matplotlib.

I'm a B.Sc. Information Technology graduate from the University of Mumbai, where I secured first rank with a 9.55/10 GPA. I bring strong analytical thinking, attention to detail, and a commitment to continuous learning.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

University of Mumbai logoUM

University of Mumbai

Bachelor of Science, Information Technology

Grade: 9.55/10

Pursued a Bachelor of Science in Information Technology, achieving first rank with a GPA of 9.55/10.

MB

Maharashtra State Board

Higher Secondary Certificate, General Studies

Grade: 58.33%

Completed Higher Secondary Certificate with a score of 58.33%.

MB

Maharashtra State Board

Secondary School Certificate, General Studies

Grade: 78.40%

Completed Secondary School Certificate with a score of 78.40%.

Tech stack

Software and tools used professionally

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