TANVI SHARMA

San Jose, CA 669-***-**** adjvy5@r.postjobfree.com www.linkedin.com/in/sdtanvi

EDUCATION:

San Jose State University San Jose Master of Engineering Management May 2021

University of Mumbai India Bachelor of Electronics and Telecommunication Engineering GPA: 7.22 June 2017

TECHNICAL SKILLS:

Programming Languages: Python (pandas, numpy, matplotlib), HTML

Databases: SQL Server, MySQL, MongoDB

Data Integration and Analysis Tools: Microsoft Excel (Pivot Tables, Lookup), SSMS, Talend

Data Visualization & Reporting Tools: Tableau, Power BI, IBM Cognos, Splunk, Google Analytics, Databricks

Testing and Other Software: UFT, Selenium, People tools, SQR, PowerShell, JIRA, TRELLO, Smartsheets

Coursework: Statistics, Project Management, Operation Research & Planning, Lean Enterprise Improvement Program, Financial Analysis, Six Sigma-Green Belt, Database Management, Marketing Management, Advanced System Engineering, Data Mining, Agile Methodology.

WORK EXPERIENCE:

Genentech United States

Product Development Intern September 2020-Present

Working on 9000+ sites to launch patient/site satisfaction workstream using Data mining methodology reporting with Tableau.

Supporting 4+ pilot studies to provide a strategic insight and bring agility to work by structuring the clinical trial

Created a pre-Statement of Work (SOW) tool to reduce the SOW development timeline with a robust first SoW draft.

Implemented Agile methodologies to improve process flow and operations in supplying kits to patients globally.

Worked closely with Work Product Owner of a uber product and as acting Product Owner/ Scrum Master for a product managing TRELLO.

San Jose State University United States

Research Assistant October2020-December 2020

Worked on Autism Intervention Operation Management research project to research about the insurance coverage for treatment and operation management efficiency and collected data from various sources using different data collection tools and communicated with 56+ Autism organizations.

Working on data pre-preprocessing of the collected data and provide modelling and analysis using Excel, SQL and python packages.

Fayble United States

Project Management Intern June 2020-August 2020

Developed three-month roadmap plan underpinning business goals and coordinated between three teams to achieve deliverables.

Analyzing and managing the project risk by meticulously and almost intuitively, identify and evaluate potential risks.

Monitoring progress of the project and analyze both expenditures and team performance to always efficiently take corrective measures

Accenture India

Application Development Associate- Business Analyst November 2017 – June 2019

Developed a Predictive Analysis strategy based on the task assigned, defects resolutions, capacity planning and deliverables

Developed Resource Traceability Matrix for the resources required, performance of teams and individuals, monitoring status of individuals and vacations of the individuals using Splunk.

Created a Splunk Dashboard for AWS Server Maintenance indicating the status, health and memory usage of the Servers.

ACADEMIC PROJECT:

Predicting the diagnosis of Breast Cancer using R: September 2020

Analyzed the dataset which represents the feature of the cells which were computed from the cell images.

Developed a model to predict the diagnosis rate and represented the classification by converting categorical data into numeric.

Using data mining method, developed and predicted the model based on random forest model with accuracy of 97.3%

Software Product Process Enhancement (WonderCard): May 2020

Spearheaded Six Sigma Methodology, implementing the Water-Scrum-Fall Model to improve the overall efficiency of the organization.

Improved the process flow of the organization by introducing and facilitating Sprint Planning, review, retrospective and sprint demos.

Improved process efficiency up to 53% and reduced the ticket reopen rate to 1.66% successfully delivering the KPI’s to organization.

Forecasting, Planning and Scheduling methodology for Vikings Products Division (Operation Management): September 2019

Analysed the sales and forecasted the demand for five different Products, using Seasonality, Exponential Trend and Regression Trend.

Planned the capacity and bill of materials (BOM) for the inventory using MPS and Master Requirement Planning.

Computed the Aggregate Planning and performed Simulation analysis on the product demand and production.

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