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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE PHONE NUMBER AVAILABLE LinkedIn TableauSUMMARYSkilled professional with 3+ years of experience in data analytics and engineering. Successfully improved business outcomes by leveraging various technologies SQL, Python, and cloud platforms to efficiently transfer data at a terabyte scale. Demonstrated ability to draw actionable insights from complex datasets, contributing to strategic decision-making and operational efficiency. EDUCATIONDUKE UNIVERSITY, The Fuqua School of BusinessMaster of Science in Quantitative Management: Business Analytics Relevant Coursework: Data Science, Decision Analytics, 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, IndiaEXPERIENCEData Consultant (Capstone), Mastercraft Mar 2024 - May 2024 Durham, USA Analyzed 100k+ lead datasets to identify key patterns and insights, leveraging statistical measures and visualizations to inform feature selection Designed and implemented a ML model to predict lead conversion rates to optimize sales plans and resource allocation, leading to improved customer relationship management and higher conversion rates Data Engineer, QUANTIPHI INC Jun 2022 Jun 2023 Mumbai, India Led a team of four and developed an end-to-end AWS-based data validation tool and alerting framework using 5+ components on top of ETL pipelines reducing missing data incidents by 50% Utilized complex SQL queries to consolidate data from multiple sources table for an Anti-Money Laundering (AML) use case, effectively identifying potentially fraudulent activities Conducted Clustering Analysis, Anomaly & Outlier Detections, on demographic & behavioral attributes to identify customer segments for targeted ad models resulting in 23% reduced marketing costs Utilized data modeling techniques to design a data warehouse for insurance client by integrating data from 40+ tables into 10+ dims and 7+ facts using optimized SQL queries thereby reducing loading time by 30% Improved business efficiency by automating PowerBI reports to monitor data loading, reducing manual efforts by 20 hours weekly Partnered with over 15 stakeholders to gather and clarify requirements, ensuring alignment with business objectives and reducing project turnaround time by 30%Associate Data Engineer, QUANTIPHI INC Jan 2021 Jun 2022 Mumbai, India Collaborated cross-functionally to identify business metrics for developing 3 automated dashboards and reports using Tableau to visualize payment history & regulate bank transactions for cross-functional finance team monitoring Served as a key stakeholder in the establishment of data governance policies and quality management practices, ensuring the integrity and reliability of data used in analysis, which improved data quality by 20% Built inhouse 4-tier ETL pipelines based on AWS and Python, enabling batch load of 100k records/ hour, increasing data throughput by 30% Enhanced Redshift performance by standardizing and optimizing SQL queries, reducing CPU usage by 35% during peak loads enabling faster access to data across multiple teams Integrated dbt Cloud into existing data workflows, allowing for modular and reusable data models. This integration facilitated better collaboration among data engineers and analysts, reducing data transformation errors by 25% Analyst, Chunky brains Jan 2020 - Dec 2020 Mumbai, India Utilizing a Jenkins-powered CI/CD real-time data integration pipeline for newly launched Business Care for SME customers, using PySpark for data transformation on Dataproc and loading data to Big Query, decreasing data processing time by ~11% Designed interactive dashboards SSRS Reports for various business teams. Developed complex stored procedures and T-SQL to calculate Realized and Unrealized P&L and Total Invested CapitalSKILLS Technology: SQL, Python, R, Spark, Excel, Power BI, Tableau, Informatica, Kafka, Airflow, Git, SSRS, SSIS, Talend, Snowflake Cloud: AWS (Step Function, Lambda, Athena, Glue, SNS, Cloud Function, S3, IAM, Redshift, DynamoDB), GCP (Big Query, Dataproc, Compute Engine), Azure (Azure Data Factory, Azure Synapse Analytics, ADLS, Azure Databricks) Business: Project Management, Collaboration, Reporting & Analytics, Root Cause Analysis, Jira, Confluence, Agile Certification: Associate Cloud Engineer (Google Cloud Platform), Tableau Desktop Specialist, Data Bricks Fundamentals PROJECTS Stock Market Real-Time Data Analysis Apr 2024 May 2024 Designed an end-to-end data pipeline for real-time stock market data using Apache Kafka, Python, and AWS (S3, Glue, Athena), enabling real-time data ingestion, transformation, and trend analysis Churn Prediction on Ecommerce Data Dec 2023 Jan 2024 Developed a machine learning pipeline to predict customer churn for an e-commerce data using PySpark on Azure Databricks, achieving an AUC-PR score of 0.89. Analyzed data to identify at-risk accounts, boosting customer retention and contributing to a projected 10% increase in annual revenue Bike Manufacturing Analysis Feb 2024 Mar 2024Analyzed 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 |
