Shraddha Sunil Falle

ad4wxb@r.postjobfree.com

linkedin.com/in/shraddhafalle

Education

University at Buffalo, The State University of New York MS in Data Science, Buffalo, NY, January 2023 - Present Courses include: Machine Learning, Statistics and Data Mining, Data Intensive Computing, Data Models and Query Language, Numerical Math, Probability, Storytelling with Data Visualization, Bayesian Networks. Pune University

Bachelor of Engineering in Mechanical, Pune, India, June 2015 - May 2019 Relevant Courses include: Six Sigma, Operational Research, Manufacturing, Matlab Technical Skills

• Programming: Python (Pandas, Numpy, Matplotlib, Scikit-Learn), R, SQL, T-SQL

• Tools and Technology: MS SQL, Postgres, Tableau, Power BI, Looker Studio, Google Cloud Platform, Microsoft Azure, Google Analytics, Microsoft Word, PowerPoint, Advanced Excel, VBA, RStudio

• Data Science: Predictive Analytics, Hypothesis testing,Big Data Analysis, Machine Learning Algorithms, Statistical Mod- eling, Data Mining, Data Modelling, Data Warehousing, A/B Testing, Data Storytelling, ELT, ETL, time series analysis, Quantitative Analysis, Root Cause Analysis, Marketing Analysis, Agile, Lean Methodologies Work Experience

Data Analyst, Viralmint, (Performance Marketing and Advertising) Pune, India, Jan 2022 - Jan 2023

• Leveraged SQL and Python to acquire, cleanse, and organize comprehensive datasets, significantly enhancing marketing strategies and audience engagement for 30+ clients across diverse industries.

• Conducted in-depth analysis to identify trends and patterns that informed strategic decisions, optimizing audience targeting and campaign effectiveness.

• Developed and maintained dynamic dashboards in PowerBI, Google Data Studio, and Tableau, which were instrumental in tracking performance and KPIs, thereby improving business decision-making processes.

• Utilized predictive modeling to forecast campaign outcomes, supporting customized marketing approaches.

• Spearheaded market basket analysis to understand consumer purchasing patterns, which helped refine strategies, resulting in a 15% increase in sales and a 10% reduction in customer churn.

• Collaborated closely with marketing and cross-functional teams to define data requirements and analytics frameworks for ongoing and new initiatives, enhancing data-driven decision-making and stakeholder reporting. System Administrator, Wipro Ltd Pune, India, Nov 2019 - Feb 2021

• Managed IT infrastructure, ensuring server and network performance and security, with extensive work on Azure and Office 365 for cloud services and collaboration tools.

• Implemented strong security measures for data protection and compliance, with regular reviews of security reports for contin- uous protection.

• Collaborated with teams to resolve technical issues, creating and managing resolution tickets, and compiling comprehensive reports for quick resolution and documentation.

• Conducted detailed analysis of resolved and open issues, creating tableau dashboards for transparent and efficient issue tracking and management.

Projects

• Demand Planning in E-commerce Business: Conducted in-depth analysis and predictive modeling on supply chain datasets for e-commerce, focusing on late delivery prediction. Used Regression, Random Forest, Clustering, and Classification models for market analysis and inventory optimization. Developed a dynamic Tableau dashboard for real-time visualization, enhancing supply chain efficiency.

• Optimizing Sales Data Management and Analysis System: Developed a comprehensive normalized database schema and ER Diagram for efficient sales data management. Improved query performance through indexing strategies in Post- greSQL. Designed and implemented a web application for streamlined database query execution and management.

• Analyzing Flight Delay Patterns: Worked on a Kaggle dataset to identify and analyze flight delay patterns. Performed extensive EDA and developed machine learning models to predict delays. Created a Streamlit web application for interactive data visualization, enabling deeper insights into flight delay causes and patterns.