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MAYURI KHANDODE

@mayurikhandode

Message

Detail-oriented Data Researcher improving educational data accuracy with analytics.

India

Message

What I'm looking for

I’m looking for a role where I can improve data accuracy at scale, build analytics that drive engagement and revenue, and use SQL/Python plus visualization tools to forecast trends—especially in education or data-driven growth environments.

I’m a detail-oriented Data Researcher with significant expertise in enhancing educational data accuracy for over 100 Indian colleges, delivering a 75% improvement through consistent updates and validation processes.

In my current role at Collegedunia (Feb ’25 - Present), I revamp high-volume educational datasets using Excel, Google Sheets, and internal tools to uphold real-time accuracy, supporting data for 100+ institutions with a 30% boost in real-time accuracy. I also deliver timely analytics to the content team using Google Analytics, helping increase user engagement by 75%.

Earlier, as a Data Mining Intern at CK Sons and Textile and as a Data Science Intern at Prodigy Infotech, I used Python (Pandas, NumPy, SciPy, Matplotlib) and data visualization (Seaborn, Matplotlib) to mine predictive insights, refine datasets, handle missing values, and improve forecast accuracy by 20%, while driving a 20% revenue increase through customer and sales pattern analysis.

Experience

Work history, roles, and key accomplishments

Current

Data Researcher

Current

Collegedunia

Feb 2025 - Present (1 year 3 months)

Revamped high-volume educational datasets to uphold real-time information accuracy for 100+ institutions, increasing real-time accuracy by 30%. Improved overall data accuracy by 75% through consistent updates and validation, and delivered analytics that increased user engagement by 75%.

Data Validation Data Quality Excel Google Sheets SQL Google Analytics Data Visualization Trend Analysis

Data Mining Intern

CK Sons And Textile

Aug 2024 - Present (1 year 9 months)

Used Python and Microsoft Excel to mine complex data and generate predictive insights on sales patterns and customer behavior, driving a 20% revenue increase. Collaborated cross-functionally to align data-driven strategies with organizational goals while ensuring accurate, detail-focused deliverables.

Python Microsoft Excel Data Mining Predictive Analytics Customer Analytics Revenue Analytics

Data Science Intern

Prodigy Infotech

May 2024 - Present (2 years)

Used Pandas to clean and prepare datasets by fixing missing values and inconsistencies, improving data accuracy by 20%. Built exploratory and forecasting visualizations with Python (Pandas, NumPy, Matplotlib, Seaborn), increasing forecast accuracy by 20%.

Python Pandas NumPy Data Cleaning Matplotlib SeaBorn Forecasting