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Shravani More

@shravanimore

Data Analyst trained at Sanyu Infotech who developed a Streamlit app predicting lounge eligibility with 80–85% accuracy.

India

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What I'm looking for

I’m seeking an entry-level Data Analyst role where I can apply my skills to real business decisions.

At Sanyu Infotech, I used Python and Excel to clean and preprocess raw data for internal analyses, reducing inconsistencies by about 25%.

I also performed exploratory data analysis on structured datasets and summarized trends in stakeholder-ready reports. I assisted with building and validating machine learning models on cleaned business data.

For my Lounge Eligibility Prediction project, I built a classification model using customer travel and transaction records and developed an interactive Streamlit app for real-time predictions. I also designed a Power BI dashboard with KPIs and visualizations.

On my AI for Legal Document Summarization project, I used transformer-based NLP to analyze legal documents and built a FastAPI backend integrated with a React frontend. I’m seeking an entry-level Data Analyst role where I can apply analytics to real business decisions.

Experience

Work history, roles, and key accomplishments

Data Analytics Intern

Sanyu Infotech

Dec 2024 - Dec 2024 (0 months)

Cleaned and pre-processed raw data using Python and Excel, reducing inconsistencies by ~25%. Performed EDA and assisted in building machine learning models, improving pattern identification efficiency by ~20% and model reliability to ~75-85% test accuracy.

Python Excel Pivot Tables Formulas Data Cleaning EDA Machine Learning Data Analysis