prince yadav

I’m a detail-oriented Data Analyst (Fresher) with hands-on experience in data cleaning, validation, exploratory data analysis (EDA), and reporting. I focus on improving data quality, resolving discrepancies, and translating raw datasets into insights that support business decisions.

In my Developer Intern role at Sanskritai.in (2023–2024), I cleaned, formatted, and validated structured and semi-structured datasets generated through OCR pipelines. I reviewed and corrected text data to improve accuracy, consistency, and usability, and supported data preparation workflows with strong attention to quality control.

Across my projects, I’ve strengthened my ability to work with both structured and unstructured data. For an AI-Powered Postal Delivery Optimization System (2024), I collected, cleaned, standardized OCR-extracted postal address data, fixed missing values and formatting inconsistencies, and structured large datasets to enable exploratory analysis and downstream reporting.

I also practice continuous learning through real-world SQL querying and Excel-based analysis (2024–2025), along with self projects like data categorization, validation checks, and Excel pivot-chart summary reporting. With tools like MS Excel, SQL fundamentals, Python (Pandas/NumPy basics), and Power BI, I’m ready to bring reliable data and clear reporting to a team that values accuracy and impact.