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Click here or scroll down to respond to this candidateCandidate's Name
F1-OPT & H4-EAD No sponsorship required PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedIn EDUCATIONMasters in Business Analytics Aug Street Address -May 2024University of New Haven, CT, USA GPA: 3.Street Address
Relevant Coursework: Data Visualization & Mining, Operations Management, Machine Learning, Business Forecasting, DBMS, Sports Business Analytics Bachelors in Electronics & Communication Engineering June 2015-May 2019 Visvesvaraya Technological University, India GPA:3.58 TECHNICAL SKILLSData Analysis & Visualization: Power BI, Tableau, Excel (Advanced), SQL, Python (Pandas, NumPy), VBA, SAP, ServiceNow Programming & Machine Learning: R, Python (Scikit-learn, PyTorch), C, C++, SAS, Excel, .NET, PostgreSQL, MongoDB Platforms & tools: Azure, Shiny App, Power Query, R-Studio, Jira, MS-Office, Git, ERDPlus, Eclipse, DBeaver, Slate, ERP, ETL processes PROFESSIONAL EXPERIENCEGraduate Student Analyst Admissions University of New Haven, CT, USA Aug 2023-May 2024 Utilized Slate and Ellucian to manage and process over 5000 student records, improving data consistency and accessibility by 30%. Designed an interactive Power BI dashboard, used Power Query for preprocessing data from slate to dynamically display visualizations of 10+ key metrics, enhancing data-driven decision-making and reducing response time by 50%. Identified trends & patterns among 1200+ applicants, predicting course demand with 85% accuracy, optimizing resource allocation by 25% and pinpointing key areas for marketing with a 40% increase in targeted outreach effectiveness. Automated creation of weekly reports in Excel, cutting manual effort by ~4 hours per week & increasing accuracy & timeliness by ~20%. Product Analyst Microsoft (via Infosys Ltd), Mysuru, India Jan 2021-Feb 2022 Delivered solutions, production, and analytical support for global Microsoft contact centers using Genesys tools improving operational efficiency by 35% and reducing average handle time by 40%. Developed visualizations and analytical features for Genesys Interaction Analytics (GIA), an automated speech analytics capability on all recorded customer-agent interactions providing deep insights that improved contact center performance metrics by 25%. Leveraged SQL and Power BI for data analysis, enhancing decision-making and increasing operational efficiency by 5%. Resolved technical issues in collaboration with clients, ensuring greater than 99% service availability. Data Engineer Genesys (via Infosys Ltd), Mysuru, India Dec 2019-Dec 2020 Worked on developing Genesys Latitude, a cloud-based debt recovery application using MySQL and .NET. Built data pipelines to transform raw data in blob storage to SQL server tables on Genesys cloud. ANALYTICS PROJECTSHealthcare Trends - EDA Created visualizations in Power BI to analyze healthcare trends such as patient demographics, billing amounts, and test results, supporting strategic decision-making in operational efficiency and Healthcare improvement. Analyzed healthcare data to identify trends, revealing a 25% prevalence of Diabetes and Hypertension among the patient population, which directly informed strategic planning initiatives to optimize healthcare services in the community. Implemented logistic regression and random forest models to predict test results & analyze billing amounts, achieving a 33% accuracy forabnormal test results finding no significant differences across insurance providers (t-tests) or admission types (ANOVA), guiding resource allocation and patient care strategies using R.Analyzing COVID-19 Discovered significant age & gender disparities, enhancing pandemic response, forecasted future COVID-19 metrics with 80% accuracy Performed Geospatial, & Comparative Analysis in Power BI, visualizing global and regional trends in cases, deaths, & vaccination rates. US Electricity and Natural gas Consumption Analysis Applied statistical methods to explore the correlation between population demographics and utility rates using R & Excel. Used regression & cluster analysis to dissect complex data, revealing critical insights into usage patterns & pricing strategies. Generated visualizations using Power BI, which highlighted regional trends and supported strategic decision-making. Emphasizing the need for targeted interventions, suggested energy policy adjustments which could potentially reduce costs by 12%. E-Commerce Data Management Engineered a relational DB for an e-commerce platform, detailing structures for product & transaction data management. Visualized entity relationships and database design using ERDPlus, aligning with industry standards for clarity & efficiency. Formulated and executed SQL schema creation, data entry, and complex queries with aggregate functions for data analysis. Initiated a strategic VIEW in SQL to highlight key sales metrics, supporting business intelligence efforts. Business Forecasting: NFL Ticketing & Sponsorship Conducted predictive analysis of NFL ticket sales, identifying key pricing strategies by seat level with a focus on demand forecasting for 2020 utilizing ARIMA models in R with >70% accuracy. Examined sponsorship effectiveness revealing the impact of team identity on fan loyalty, aiding sponsorship increasing ROI by 15%. Translated complex data into strategic insights for pricing and sponsorship, enhancing future business strategies and growth. |
