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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLESKILLS Technology SQL, R, Python, Excel, Power BI, Tableau, Big Query, Qlik, Snowflake, Git, PySpark, Machine Learning, Regression Business Project Management, Collaboration, Root Cause Analysis, Jira, Confluence, Microsoft Office Suite, Agile Cloud AWS (Step Function, Lambda, Athena, Glue, SNS, Cloud Function, S3), GCP (Big Query, Dataproc, Compute Engine) Certification Associate Cloud Engineer (Google Cloud Platform), Tableau Desktop Specialist EDUCATIONDUKE UNIVERSITY, The Fuqua School of BusinessMaster of Science in Quantitative Management: Business Analytics Relevant Coursework: Data Science for Business, Decision Analytics & Modeling, Data Visualization, Intro to GenAI Jul 2023 - May 2024 Durham, USASARDAR PATEL INSTITUTE OF TECHNOLOGYBachelors of Electronics EngineeringPublished on IEEE Xplore. Cyber-Bullying Detection via Text Mining and ML Aug 2017 May 2021 Mumbai, IndiaEXPERIENCEQUANTIPHI, Data Analyst Jun 2022 Jun 2023 Mumbai, India Led a cross-functional team to develop a robust, end-to-end AWS ETL ecosystem consisting of 5+ components and a cloud data validation tool, improving data quality by 30% and enabling efficient batch loading to the Data Warehouse Preprocessed unstructured e-commerce data using PySpark MLlib on Dataproc, performing sentiment analysis and data normalization, which sped up the model lifecycle by 40% and boosted recommendation accuracy by 18% Collaborated with over 15 stakeholders to gather and clarify requirements, ensuring alignment with business objectives and reducing project turnaround time by 30% Improvised business teams efficiency by automating PowerBI reports, to monitor downstream data loading, reducing manual efforts by 20 hours per week Trained over 20 junior analysts in data-cleaning techniques and data visualization tools, fostering a skilled and capable team to support data-driven initiativesQUANTIPHI, Associate Data Analyst Jun 2021 Jun 2022 Mumbai, India Analyzed insurance data using statistical techniques such as clustering and regression to identify regional claim patterns increasing sales by 25% through targeted interventions Developed and optimized complex SQL queries to extract and analyze large datasets from multiple sources, reducing data retrieval time by 40% and increasing the accuracy of financial reports by 25%, enabling informed decision-making Developed interactive dashboards for insurance clients to track key metrics, aiding in risk assessment and performance optimization Presented projects scope and success, designed business requirements documentation and workflow diagrams QUANTIPHI, Analyst Intern Jan 2021 Jun 2022 Mumbai, India Implemented row-level and column-level security measures, improving data security by 25% and ensuring compliance with global data governance regulations Leveraged RFM analysis to segment high-value customers and collaborated with marketing team to execute personalized retention campaigns, resulting in a 15% increase in repeat purchases Enhanced Redshift performance by optimizing SQL queries, reducing CPU usage by 35% during peak loads enabling faster access to data across multiple teamsPROJECTS Lead Prioritization Model for Mastercraft (Boat Manufacturing Company) - Identified challenge to manage 100+ daily leads, to optimize sales plans and resource allocation. Collaborated with sales and marketing teams to develop a Python and SQL-based model that prioritized daily leads, enhancing customer relationship management and conversion rates Bike Manufacturing Analysis - Analyzed data to forecast sales and optimize reseller strategies through RFM segmentation. Built a dashboard to present insights and trends, enabling actionable strategies to enhance sales and target high-value customer segments within a B2B bike dataset Ecommerce Customer Churn Prediction - Developed ML models to predict churning customers, analyzing vast amounts of customer data to identify at-risk accounts boosting 20% customer retention and contributing to increased revenue |
