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Data Analyst

Union City, NJ
March 15, 2021

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Diligent and collaborative data professional passionate about providing successful business solutions. Meticulous understanding and knowledge of ana- lytics and business intelligence tools along with DevOps practices. Skills

Programming Languages: Python, R Programming, Java, SQL, Shell Data Analysis: Tableau, Microsoft Power BI, NumPy, pandas, ggplot2, Matplotlib, seaborn, MS Excel, Sage Enterprise Intelligence, Axiom Controller View

DevOps Technologies: Git, AWS, Gitlab, Gitlab-CI, Github, Github Actions, Jenkins Docker, Terraform, Kubernetes Project Management: Jira, Trello, Confluence

Operating Systems: Mac, Linux/Unix, Windows

Database Systems: MS SQL, IBM DB2, MS Access, Snowflake Experience

Senior Data Analyst, Software Support, Axiom Software Laboratories, NYC - 07/2018 - Present

• Drive business impact based on customer behavioral data and feedback by using data analysis/ETL for customer profiling and segmentation analysis.

• Leverage multi-continent customer data to build impactful issue resolution performance dashboards and setup report delivery for leadership and stakeholders.

• Design and develop data analytics solutions to identify root cause of issues reported allowing support team to significantly reduce their case abandon rate and increase average response speed by 10% year over year without increasing staffing.

• Create robust and stable data pipelines and reporting to track product performance and help ensure progress across innovation and product teams.

• Serve as Agile coach for the methodology, execution, and team education on best practices.

• Analyze KPIs & identify process inefficiencies through gap analysis to increase sales growth by 5%.

• Setup and maintain CICD pipelines for the client cloud environments and internal cloud controller view application.

• Demonstrate IaC technical solutions internally and externally to continuously drive efficiency through automation.

• Adjust Controller view software parameters to boost performance by 3% and incorporate new features. Financial System Analyst, Planned Parenthood Federation of America, NYC - 01/2018 - 06/2018

• Setup financial, client demographics, education and diversity data collection and storage from major surveys conducted by PPFA.

• Architect and develop automated customized reporting processes using Sage Enterprise Intelligence reducing man hours by 80%.

• Identify and ensure data integrity and security across financial systems mitigating the risks of transaction failures by conducting black box testing.

• Ensure data integrity and compliance of affiliate data with PPFA data security policies. Graduate Assistant, NYU Dept. of Environmental Health and Safety, NYC - 09/2016 - 12/2017

• Setup EHS routine inspection data cleaning, transforming and report generation to drive future strategies and planning.

• Prepare interactive dashboards to analyze students and employees campus safety experience data to identify and preemptively address gaps correlated with incidents and injuries.

• Engage with data requestors and end users to understand and translate business requirements into reporting applications.

• Develop and implement new business intelligence trends necessary to evaluate EHS risk. Associate Software Engineer, Accenture, Mumbai - India- 05/2013 - 07/2015

• As a part of System Integration team develop interfaces for data transfer using Oracle Fusion Middleware, Service Oriented Archi- tecture (SOA) and Business Process Execution Language (BPEL) for UK based energy company.

• Setup data analyzation for Thermal Power Station to find machine utilization less than 90% to plan operations based on these find- ings which resulted in saving 10 lakhs Rupees in a year and decreased processing delays by 4% per month. Education

Management of Technology Master of Science NYU, Manhattan, NY (01/2016 - 12/2017) Computer and Information Sciences Bachelor of Technology NMIMS, Mumbai, India (08/2009 - 05/2013) Certification

Tableau Desktop Specialist

AWS Certified Cloud Practitioner


Phone: 347-***-****




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