Snigdha Sri Email & Phone Number

United States

Pennsylvania, United States

1. Analyzed Qlik report access logs and utilized Python along with K-means clustering to detect over 100 user access errors, enhancing data integrity and ensuring seamless reporting for business intelligence functions.2. Collaborated with BI and ETL teams to gather business requirements and develop reports.3. Participated in SQL code review, testing, debugging, and documentation to ensure data quality in DLM

Chennai, Tamil Nadu, India

1. Participated in all phases of data analysis, including data mining, cleaning, model development, validation, and visualization, handling over 10M customer records with 20+ features.2. Implemented classification models (Logistic Regression, Random Forest,.. etc.) and optimized results through PCA, SMOTE analysis, and K-Fold cross-validation.3. Conducted Exploratory Data Analysis (EDA) to identify patterns, trends, and seasonality using NumPy, Pandas, and visualization libraries like Matplotlib and Seaborn.4. Improved data pipelines by integrating SQL for data extraction and preprocessing, reducing data cleansing time by 50%.5. Achieved 90% customer retention prediction accuracy using logistic regression and developed automated analytics dashboards with R, Tableau, and Power BI.

Hyderabad, Telangana, India

1. Cleaned and processed datasets from SQL Server, Excel, and cloud platforms to support sales and customer behavior analysis, ensuring data quality and integrity through SQL validation scripts.2. Built machine learning models (decision trees, regression, clustering) using Python to predict demand, optimize inventory, and improve operational efficiency.3. Conducted Exploratory Data Analysis (EDA) to identify sales trends, seasonal patterns, and customer behavior, visualizing insights with Matplotlib and Seaborn.4. Engaged cross-functional stakeholders in developing thorough analysis documentation that directly influenced key decisions on campaign direction and improved resource management efficiency by 30%.

Master'S Degree, Information Technology, 3.8/4.0

Bachelor Of Technology - Btech, Electrical And Electronics Engineering, 8.6/10.0