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Click here or scroll down to respond to this candidateCandidate's Name
Chicago, IL Phone Number : PHONE NUMBER AVAILABLE Email : EMAIL AVAILABLE LinkedIn EDUCATIONM.S. in Business Analytics - Rutgers University, NJ Sept Street Address - Dec 2023 Coursework: Business Analytics, Big Data Analytics, Machine Learning Applications, Data Management & Business Intelligence B.E. in Computer Science - Savitribai Phule Pune University, India Aug Street Address - Jul 2021 Coursework: Data Structures, Object Oriented Programming, Data Mining & Warehousing, Database Management Systems WORK EXPERIENCEBoston Scientific Pune, IndiaData Analyst Intern May 2023 - Aug 2023 Successfully delivered a comprehensive analysis of user interface interaction data, focusing on critical metrics such as time efficiency and user engagement, utilized advanced data visualization techniques, including outlier detection, and conducted eye-tracking studies with over 200 participants to inform the enhancement of UI component designs, tailoring them based on quantified participant fixation durations. Orchestrated and executed over 30 user testing sessions to accumulate diverse interaction data from 300+ users, applying the gathered insights through advanced statistical methods to strategically optimize user interface designs of medical devices, enhancing usability and user experience by 15%. Employed sophisticated analytics tools, notably Power BI, to perform deep analysis and interpretation of user interaction data from 500+ user sessions; this involved creating intricate data models and visualizations to guide both UI design and marketing strategies, providing data-driven, actionable insights that influenced 40% of strategic decision-making. Collaborated with multidisciplinary teams, integrating efforts to drive enhancements in user interface design, resulting in a quantifiable 25% increase in user engagement, leveraging a combination of technical expertise in data validation, analysis, and cross-functional communication.Seaside Sustainability Gloucester, MAData Analyst Sept 2023 - Dec 2023 Spearheaded data analysis for a sustainable fashion survey, processing responses from diverse students using statistical methods and visualization tools like Tableau and Excel, resulting in a 30% increase in understanding of student environmental attitudes. Applied Python's Scikit-Learn for predictive analytics, enhancing product development strategies and boosting potential market reach by 25% for recycled fashion products. Implemented rigorous data validation processes, achieving 95% data accuracy, which significantly contributed to insights into student preferences for sustainable products. Delivered key analytical findings to stakeholders, leading to a strategic shift in marketing approach, and co-authored an impactful report, instrumental in advancing sustainable fashion initiatives by 20%. Sandvik Pune, IndiaData Engineer Nov 2021 - Mar 2022 Served as the essential liaison between the application's end-users (specifically those in sourcing and procurement departments) and the IT team, ensuring seamless operation of the ERP system; diligently worked to maintain system stability and functionality, achieving zero downtime and thus supporting uninterrupted business processes. Demonstrated expertise in database management by designing and implementing SQL-based data tables for 30 key suppliers within the ERP system; this effort was crucial in organizing and effectively utilizing existing supplier data, optimizing system performance, and enhancing data management capabilities. Played a pivotal role in the development and testing phases of the M3 ERP project, focusing on enhancing efficiency and workflow; this involvement directly contributed to a significant 10% reduction in the time required to process orders, streamlining operations and improving overall productivity.PROJECTSUber Data Analysis Data Analysis, Python, GCP, Mage, Looker Studio Leveraged GCP Storage, Python, Compute Instance, Mage Data Pipeline Tool, Big-Query, and Looker Studio for comprehensive Uber data analysis, yielding actionable insights, and optimizing data workflows. Proficiently analyzed Uber data, extracting valuable trends and facilitating data-driven decision-making for operational optimization. Demonstrated enhanced efficiency, robust reporting, and expertise in data engineering and analysis. Customer Churn Analysis Machine Learning, EDA, Power BI, Predictive Analysis Orchestrated a telecom sector analytics initiative, leveraging machine learning and exploratory data analysis (EDA) to mine and interpret complex customer interaction datasets, unveiling critical churn predictors. Engineered a high-precision predictive model for churn forecasting with an accuracy of 86% using advanced algorithms like logistic regression and decision trees, coupled with sophisticated feature engineering techniques, and transformed these analytical insights into actionable strategies through the design and implementation of interactive Power BI dashboards. CERTIFICATIONS AWS Certified Cloud Practitioner Google Data Analytics Professional Certificate Microsoft Certified Power BI Data Analyst KPMG Data Analytics Consulting Virtual Internship TECHNICAL SKILLSProgramming Languages: Python, R, SQLOperating Systems: Windows, Linux, Mac OSDatabases: MySQL, PostgreSQL, SQLite, Oracle DB, MongoDB, Apache Hive, Apache HBase Tools: MS Suite, MS Excel, VBA, Macros, MS Access, Git, Jupyter Notebook, Tableau, MS PowerBI, IBM SPSS, ELK Stack, Looker Studio Interests: MAWM, SAP MM, ERP (WM, PP, MM, SD modules), Salesforce, Supply Chain Management/Analytics Research Paper A Survey on various available object detection models and application in License Plate Detection |
