SHRADDHA SUNIL FALLE
Baltimore, MD **************@*****.*** 716-***-****
EDUCATION
University at Buffalo, Buffalo, NY GPA: 3.66/4.0 Jan 2023 - May 2024 Master of Science in Data Science
Pune University, Pune, India Jul 2015 – May 2019
Bachelor of Engineering
SKILLS
Languages: Python, R, SQL
Databases: MySQL, SQL Server, PostgreSQL
Visualization Tools: Power-BI, Tableau, Looker Studio, Qlik Technologies: Microsoft Azure, AWS, GCP, SSIS, SSAS, SSRS, Snowflake, Power Automate, Google Analytics Marketing Platforms: Google Ads, Amazon Marketplace, Facebook Ads, Shopify, Google Analytics, GA4 WORK EXPERIENCE
Data Analyst Trainee & Intern CCS Global Tech Remote Sep 2024 – Present
• Underwent intensive training in enterprise data tools, including SQL Server, SSIS, Power BI, Azure Data Factory, Azure Synapse, Databricks, Power Apps, and Snowflake, focusing on real-world applications in data analytics and engineering.
• Built interactive dashboards in Power BI and Tableau to visualize KPIs and business metrics, simulating client reporting scenarios.
• Practiced data extraction, transformation, and loading (ETL) techniques using SSIS and Azure Data Factory to automate data pipelines.
• Gained hands-on experience with Azure Synapse and Databricks for big data processing and analytics at scale.
• Developed end-to-end data workflows integrating Snowflake for cloud data warehousing and Power Apps for user-facing data entry tools.
• Cleaned and transformed datasets using SQL and Excel Power Query to prepare for analysis and machine learning models.
• Participated in guided client-simulation projects focused on predictive analytics, data storytelling, and stakeholder communication.
Digital Marketing Data Analyst ViralMint Media Pvt. Ltd., Pune, India Jan 2022 - Jan 2023
• Analyzed large datasets from marketing platforms (Meta Ads, Google Ads, Amazon Ads, Shopify, etc.) using SQL and Python to identify key drivers of performance and improve campaign outcomes.
• Designed interactive dashboards in Power BI and Looker Studio integrating SQL and DAX, enabling real-time tracking of KPIs such as Customer Acquisition Cost (CAC), Click-Through Rate (CTR), Conversion Rate (CR), Cost per Impressions (CPM), and ROAS leading to a 10% month-over-month increase in ROI.
• Performed Search Engine Optimization (SEO) and keyword analysis to improve organic visibility and performance tracking.
• Developed and optimized stored procedures and SQL queries to automate data extraction and transformation, reducing reporting time.
• Conducted customer segmentation, market basket analysis, and Customer Lifetime Value (CLV) prediction using SQL, Python, and Excel (Pivot Tables, Power Query, Macros, and VBA).
• Collaborated with marketing teams to define KPIs and attribution models, driving data-informed strategy that boosted customer engagement.
• Led A/B testing initiatives and exploratory data analysis to measure marketing impact and recommend optimization strategies.
• Automated reporting pipelines using SQL and Excel Macros, reducing manual work and improving data accuracy. Data Scientist Trainee (Intern) Devtown, Pune, India Aug 2021 - Dec 2021
• Trained in data preprocessing, statistical modeling, and various machine learning algorithms, gaining a solid foundation in data science methodologies.
• Developed predictive models and conducted in-depth data analyses, significantly enhancing technical skills and contributing to
• real-world projects.
• Utilized SQL and data warehousing tools such as Snowflake and Azure to efficiently manage, query, and organize large datasets.
• Created insightful data visualizations using Python and Power BI to effectively communicate analytical findings and trends. System Administrator Wipro Ltd, Pune, India Nov 2019 - Feb 2021
• Managed IT infrastructure for 10,000+ users, ensuring optimal performance and security.
• Reduced security breaches by 40% through effective measures and compliance.
• Applied Agile methodologies to enhance IT operations, enabling rapid adaptation to changing requirements and improving service delivery.
• Collaborating with cross-functional teams to prioritize and resolve user issues within SLA, resulting in a 25% decrease in average resolution time.
• Implemented and managed Azure cloud services, optimizing resource allocation and enhancing system reliability.
• Managed SQL databases to ensure data integrity, optimize performance, and support business-critical applications. ACADEMIC PROJECTS
Cloud-Based ETL Pipeline for Sales Analytics Azure Data Factory, Azure SQL Database, Synapse, Power BI Nov 2024 – Dec 2024
• Designed and implemented an end-to-end ETL pipeline using Azure Data Factory to automate data ingestion from multiple sources.
• Stored and processed sales data in Azure SQL Database and optimized analytical queries using Azure Synapse.
• Developed interactive Power BI dashboards to provide real-time insights into sales trends and business performance. Predicting CLV in Ecommerce Python, Jupyter Notebook, EDA, Predictive Modeling, Tableau Mar 2024 – May 2024
• Analyzed consumer transaction data from an e-commerce site using machine learning algorithms to predict CLV.
• Delivered actionable insights that informed strategic decision-making in a competitive e-commerce market.
• Developed interactive visualizations using Matplotlib, Seaborn, and Tableau to present trends, correlations, and model performance.
Sales Data Management System PostgreSQL, ER Diagram, Normalization Oct 2023 – Dec 2023
• Designed a normalized database schema in PostgreSQL to enhance data integrity, reduce redundancy, and improve data consistency.
• Optimized query performance by implementing advanced indexing strategies, such as B-tree and hash indexes, ensuring faster data retrieval and efficient query execution.
• Designed a normalized PostgreSQL database to enhance data integrity and query performance. CERTIFICATIONS
• Google Data Analyst
• Foundations of Data Science