Summary
Overview
Work History
Education
Skills
Certifications And Projects
Languages
Timeline
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Disha Nayak

Disha Nayak

Sydney,Australia

Summary

Results-driven professional with a strong background in data analysis and financial valuation. Expertise in machine learning and quantitative analysis, contributing to strategic decision-making and operational improvements in hospitality and finance sectors.

Overview

9
9
years of professional experience

Work History

FO Duty Manager

Club Wyndham Sydney
Sydney, Australia
10.2023 - Current
  • Supervise daily operations and lead front desk operations, including reservations, guest check-ins/outs, last-minute confirmation or cancellation of bookings, and account settlements using OPERA software.
  • Coordinated staff schedules by building rosters to optimize service delivery and efficiency.
  • Conduct night audits, settle accounts, and ensure financial accuracy on Salesforce and SiteMinder software.
  • Pitching guests on availing reward vouchers by attending presentations and purchasing membership credits.
  • Assisted in the payroll of the staff members.
  • Managed guest inquiries and resolved issues promptly and professionally.
  • Delegated tasks appropriately among team members.

Fresh Service – Team member

Woolworths Redfern Station Metro
Sydney, Australia
04.2023 - 10.2023
  • Responsible for serving customers at the service help desk as a team member.
  • Conducting face-to-face marketing of Woolworths' Everyday Rewards for existing and new customers.
  • Assisted in the hot food section, filled the produce section, and regularly maintained temperature checks.

Buy-Side Equity Research Analyst

CRISIL – Global Research and Risk Solution
Mumbai, India
10.2021 - 01.2023
  • Served as a consultant and analyzed over 20 financial reports and investment memos for portfolio companies in direct lending deals to the credit-oriented asset manager, Blackstone Credit (BXC).
  • Conducted financial modeling to evaluate portfolio performance and potential growth.
  • Performed quantitative analysis using Excel spreadsheets.
  • Played a key role in coordinating and closing deal projects.
  • Presented findings and recommendations to senior management and investment teams.

Research Analyst

Acuris-ION
Mumbai, India
02.2018 - 10.2021
  • Conducted in-depth analysis and published over 7,000 M&A deal reports, and more than 5,000 PE/VC M&A transactions using publicly available information.
  • Performed portfolio mapping for 100 to 200 PE portfolio companies, and prepared approximately 500 individual deal reports for the parent company, ION.
  • Analyzed and structured data from various advisory firms.

Research executive - Finance Internship

Karvy Stock Broking ltd
Mumbai, India
04.2017 - 06.2017

Sales Executive - Marketing Internship

Nestle
Mumbai, India
12.2016 - 01.2017

Education

Master’s - Business Analytics

University of Technology Sydney
Sydney, Australia
11.2024

Master’s - Management Studies – Finance

University of Mumbai
Mumbai, India
05.2018

Bachelor’s - Management Studies – Finance

University of Mumbai
Mumbai, India
05.2015

Skills

  • PostgreSQL and Python
  • R programming
  • Data visualization with Power BI and Tableau
  • Statistical analysis with SAS
  • Machine learning models
  • Survey design with Qualtrics
  • Deep note utilization
  • OPERA Cloud management
  • Salesforce CRM
  • SiteMinder administration
  • Microsoft Excel and PowerPoint
  • Financial valuation
  • Data analysis and interpretation
  • Financial modeling
  • Stakeholder engagement
  • Technical documentation
  • Training session organization
  • Presentation skills
  • Leadership abilities
  • Teamwork dynamics
  • Financial analysis expertise
  • Data modeling techniques
  • Project management proficiency
  • Customer service excellence
  • Team leadership skills
  • Market research analysis

Certifications And Projects

  • Regression model – built a regression model to forecast the future salaries of engineering graduates by using linear regression, lasso, and ridge linear regression models
  • Classification models – built a classification model for improving customer retention for a subscription-based service using classification models, including logistic regression, KNN, XGBoost, random forest, decision tree, and extra trees
  • Statistical thinking in the data science project - built a regression model to predict the success of a marketing campaign organized by a telecommunications company, and predictions for cancer mortality rates across the U.S. Counties hold significant implications for insurance companies
  • Customer analytics project - the team conducted a live survey and created a new business model based on understanding the laptop preferences of customers for designing new features for Dell laptops based on prepared conjoint analysis
  • Power BI, Python, and Excel certifications, Google Ads certification
  • Financial modeling certification – Bombay Stock Exchange
  • B1 level in German language from Goethe Institute – Max Muller.
  • Certification in Alternative Investment Industry conducted by SS&C Globeop

Languages

  • English, Fluent
  • Hindi, Fluent
  • German, Intermediate

Timeline

FO Duty Manager

Club Wyndham Sydney
10.2023 - Current

Fresh Service – Team member

Woolworths Redfern Station Metro
04.2023 - 10.2023

Buy-Side Equity Research Analyst

CRISIL – Global Research and Risk Solution
10.2021 - 01.2023

Research Analyst

Acuris-ION
02.2018 - 10.2021

Research executive - Finance Internship

Karvy Stock Broking ltd
04.2017 - 06.2017

Sales Executive - Marketing Internship

Nestle
12.2016 - 01.2017

Master’s - Business Analytics

University of Technology Sydney

Master’s - Management Studies – Finance

University of Mumbai

Bachelor’s - Management Studies – Finance

University of Mumbai
Disha Nayak