Digital Marketing Data

Deepti Chaturvedi

adcmd7@r.postjobfree.com LinkedIn Illinois, Chicago 217-***-****

Product professional with 5 years of experience leading cross-functional teams to plan, build, launch & manage world-class financial & banking solutions. Proficient in technology skills (SQL, Tableau & Python) with extensive agile experience, a marketing orientation & analytical ability to evolve product strategy. Extensively applied data driven techniques to solve real world business problems. EDUCATION

University of Illinois, Urbana Champaign, Master of Technology Management Aug 2019 - Aug 2020 Relevant Coursework: Process & Product Management, Data Science & Analytics, Business Intelligence & Reporting, Statistics for Decision Making, Product Development, Introduction to Finance & Marketing, Project Management, Simulation & Risk Analysis Vellore Institute of Technology, Vellore, India, Bachelor of Technology: Information Technology Jul 2010 - Apr 2014 PROFESSIONAL EXPERIENCE

BANK OF AMERICA – Product Manager Aug 2018 – Sep 2019

• Translated customer needs into innovative and detailed product requirements for customer-facing online and mobile products/services in cards division to launch the auto-debt feature, increasing customer acquisition by 7%

• Developed product roadmaps by working closely with business partners on the design and requirements for the enhancements to design auto-debt feature & translated roadmaps into manageable product backlogs

• Managed the technology risk, debt and non-functional requirements by maintaining user stories, features & defects

• Examined concept-to-launch for auto-debt feature & managed the sprint planning for 28 sprints till the application Go-Live by developing program/project plans, including Gantt Charts, timelines to keep team organized & delivering BLACKSTONE GROUP – Senior Product Analyst Aug 2016 - Jul 2018

• Developed statistical models to identify potential investment deals, thereby helping stakeholders saving $1.2M

• Introduced the feature to detect flaws by monitoring past transactions for major funds & its impact on the future investment deals, sending alerts to stakeholders by creating an early warning system, saving 8 man-hours per week

• Defined a precise risk profile for all strategic aims by performing assessments throughout the organization in Niagara

- Fund Roll Up, according to their level of completion

• Led the FRU team & delivered presentations about new features to clients & fund accountants using agile practices

• Headed the FRU team comprising of 8 staff members and mentored 3 trainees, overseeing their daily activities NUCLEUS SOFTWARE EXPORTS LTD - Product Analyst May 2014 - Jul 2016

• Leveraged data analytics & created dashboards to identify cross sell & up sell opportunities as well as at risk customers based on past experience of various banks with Nucleus Software

• Designed features in coordination with the digital marketing teams for the billing capture cycle, receipt & payment creation features for DCB Bank, increasing revenue of DCB bank by 8%

• Recommend new strategies to enhance and improve MUFG Union Bank’s competitive position

• Implemented Tableau dashboards to summarize the loan management services consumed by Nucleus customers, thereby improving the marketing strategies for iMobile app in conjunction with Sales & Marketing teams

• Segmented customers to identify target audience based on interactions and transactions between customers, banks, channels & products for iMobile app, increasing opportunity conversion rate by 12%

• Created detailed documentation as part of data integration for loans sanctions workflow, which includes: Interface Specifications (ISD), Functional Specification sets (FSD) and Data Integration Mappings to guide Developers ETL

(Extraction-Transformation-Load) technical design documents, and QA (Quality Assurance) test cases creation

• Extracted and examined data from DB schemas to identify anomalies in data records and developed SQL scripts to resolve such issues, reducing the number of quarterly reported incidents by 32% ACADEMIC PROJECTS

Fraud Detection Machine Learning Python

• Built a classifier to predict fraudulent transactions using ML Algorithms such as Logistic Regression, Decision Trees ACCOMPLISHMENTS

• Vice President UIUC graduate consulting club leadership committee. TECHNICAL/MANAGEMENT SKILLS

Programming Languages/Databases: R, Python, SQL

Product/Project Management: Product Roadmap, Planning, Estimation, Prioritization & Release, Change Management, ITIL Tools: Tableau, Excel, Google Analytics, MS Project, MS Office Tools, R Studio, Jupyter Notebook, ALM, JIRA, Visual Studio, Selenium, Agile, SDLC, STLC, Scrum, Confluence, Mainframe Statistical Techniques Hypothesis Testing, Customer Segmentation, Data Cleaning, Data Mining, Regression Analysis, pivot tables

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