SALONI GOEL

Hi! I am Saloni Goel, MS Business Analytics student at Lindner School of Business, University of Cincinnati. Prior to UC, I have worked as an analyst in technological consulting company and a manufacturing company.

Linkedin: https://www.linkedin.com/in/goelsaloni/

Tableau : https://public.tableau.com/app/profile/saloni.goel

• Current City: Cincinnati, Ohio

• Home Country: India

Education:

• Master Of Science in Business Analytics - University of Cincinnati

• Master Of Commerce - IGNOU

• Bachelors of Science in Statistics - Lady Shri Ram College for Women

  ~Student Body President, Statistics Department

  ~AIESEC Ukraine & India, Team Lead Global Community Development Program

Work Experience:

• Analyst - Neo Intiative

1. Part-time analyst in the joint non-profit initiative by Neo Cincinnati and Xenuvi in Cincinnati, Ohio, empowering minority-owned small businesses with pro-bono data analytics consulting

2. Collating & analyzing commercial/sales data through channels like Shopify and Square up and generating dashboards to provide actionable insights for further expanding the business

• Business Analyst - Thoughts2Binary Consulting and Solutions LLP
  Budding Star Performer Award

1. Led a team of 10 including developers/QA engineers for a US-based client and delivered 5 projects ($6M)

2. Managed end to end development and quality control for the mobile and web application myEtimecard

3. Coordinated with technical project teams to design and develop online systems per client requirements/feedback

4. Facilitated vendor-client engagement as a primary account manager, gathered complex business needs, identified appropriate solutions/trade-offs, and delivered targeted solutions on UX improvements

5. Spearheaded Agile/Scrum framework and sprint-wise delivery of projects

• HR Analyst - SRF Ltd
  Awarded the Best Debutant Award

1. Led 10 projects for generating datasets for 8000 employees and performed descriptive and predictive analyses

2. Motorized data driven reports using VBA macros and reduced turnaround time by ~75%

3. Developed predictive model - "Early Warning System" to predict employee attrition; identified metrics to quantify opportunity cost for business decisions

4. Developed Tableau dashboards to enhance HR Management System effectiveness and enable real-time monitoring

Skills:

• Technical Skills: Python, R, SQL, Tableau, Power BI, MS Excel, C++, MS Suite

• Analytical Skills: Regression Models, Probabilistic Models, Business Intelligence & Reporting, Data Visualization, Hypothesis Testing

Experience with R

• I have done a few courses to learn basics of R and learnt a few applications of R in Stats Methods class.