MILONI VITHALANI

BUSINESS ANALYST

C O N T A C T

+1-202-***-****

ad1bev@r.postjobfree.com

NJ

E D U C A T I O N

MS in Management Science

New Jersey Institute of Technology

Newark, NJ

Bachelors in Management

Studies

University of Bombay, India

S K I L L S

Languages:

Python, SQL, C

Methodology:

SDLC, Agile, Waterfall

Data Reporting Tools:

Tableau, Power BI

Documentation:

BRD, FRD, SRS, BPMN

Project Management Tools:

Microsoft Project, Asana, Trello

Analytics Skills:

Cost/benefit analysis, Impact

analysis, GAP analysis, Risk analysis,

SWOT analysis

Tracking / Other tools:

Jira, Rational, MS Office (Word,

Excel, Access, Outlook), Microsoft

Teams, Slack, Confluence

Other Skills:

Business Intelligence, Stakeholder

Engagement, Requirements

Gathering, Time management,

Problem-solving, Negotiation,

Decision-Making, Documentation,

and Presentation, Verbal

communication

S U M M A R Y

• Accomplished Business Analyst with over 3+ years of experience, adeptly combining technical expertise and analytical prowess to drive data-driven insights.

• Proficient in Python, SQL, and C, utilizing these languages to optimize pricing strategies and automate processes.

• Experienced in data reporting tools such as Tableau and Power BI, transforming complex data into actionable visual insights.

• Integrated various analytics techniques, including cost/benefit analysis, impact analysis, GAP analysis, risk analysis, and SWOT analysis.

• Well-versed in tracking tools like Jira, Rational, and MS Office Suite, facilitating effective project monitoring and collaboration.

• Expertise employed Microsoft Teams and Slack for seamless communication and collaboration, fostering real-time information exchange.

• Utilized impactful cost-benefit analyses, enabling informed decision-making for resource allocation and project prioritization.

• Skilled in the application of BPMN notation to create detailed process flow diagrams, enhancing clarity and consistency in project documentation. E X P E R I E N C E

Citi, NJ Aug 2022 - Current

Business Analyst

• Project focused on optimizing the credit risk assessment process at Citi, a leading financial institution, and the primary goal is to improve the efficiency and accuracy of evaluating the creditworthiness of loan applicants.

• By developing and implementing predictive models, the project achieved a significant improvement in the accuracy of credit risk predictions.

• Tableau was used to create interactive dashboards for real-time monitoring of credit risk data.

• Utilized of Python scripting to automate report generation, masterfully slashing manual workload by an impressive 30%.

• Agile project management methodologies were adopted, with Jira used for task tracking and Confluence for collaborative documentation.

• Harnessed SQL for robust Extract, Transform, Load (ETL) processes and in-depth data analysis, forming the cornerstone of our analytical framework.

• Build a quality control dashboard to analyze defect rates, product quality metrics, and production line efficiency using Power BI and implemented root cause analysis for quality issues.

Capgemini, India Jun 2019 – Aug 2021

Business Analyst

• Project's focus was on optimizing the supply chain and inventory management processes for a retail client and the primary goal was to improve operational efficiency within the supply chain and reduce the costs associated with excess inventory.

• Python was the core programming language used for data analysis, data manipulation, and predictive modeling, and Scikit-learn, a machine learning library, was employed to build predictive models.

• Tableau was used to create real-time dashboards which provided insights into inventory performance, supplier metrics, and order fulfillment.

• Developed a project management dashboard using Power BI to track project progress, timelines, and resource allocation visualize project milestones, and identify potential bottlenecks.

• By following Agile practices, the project team increased the pace of project delivery by 20% which made delivery at a faster rate and ensured that benefits were realized sooner.

• The combined efforts in data analysis, predictive modeling, and visualization significantly improved the efficiency of the client's supply chain operations.

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