Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.
Overview
7
7
years of professional experience
Work History
Credit Analyst
National Mortgage Solutions
Craigieburn
12.2022 - 06.2024
Review and analyze mortgage loan applications to assess creditworthiness and evaluate the borrower's financial background, income, assets, and credit history
Verify the borrower's income by reviewing payslips, tax returns, and other income documentation to determine their ability to afford the mortgage loan
Liaised with the valuer to conduct valuation of the borrower's property being financed
Providing assistance in maintaining credit files and following up on clients inquiries and managed 20 calls per day
Meticulous attention to detail and accuracy in data entry
Enhanced credit risk assessment by conducting thorough financial statement analysis and cash flow projections.
Streamlined the loan approval process for faster results by implementing an efficient credit scoring system.
Data Analyst Intern
Royal Nut Company
60 Fallon St, Brunswick VIC 3056
10.2023 - 01.2024
Integration of product data from diverse sources into unified software systems, enhancing data accessibility and streamlining analytical processes
Led a project to automate SKU mapping across multiple datasets, resulting in increased efficiency and accuracy in product identification
Conducted in-depth data analysis to understand product data complexity, identifying inconsistencies and discrepancies across different platforms
Utilized Agile methodologies and served as a Scrum Master to ensure project milestones were met on time, enhancing team collaboration and productivity.
Enhanced data visualization capabilities for better decision-making with the use of advanced BI tools.
Utilized Python programming and specialized tools such as Fuzzywuzzy and pandas to develop a robust automated mapping solution
Implemented rigorous validation processes and conducted thorough testing to ensure accuracy and reliability of the solution
Demonstrated strong communication and teamwork skills, keeping stakeholders informed and soliciting feedback for continuous improvement.
Loan Processing Specialist
HLE Nepal
Nepal
07.2020 - 07.2022
Worked as broker assistant managing all the client related files and helped in submission to settlements.
Liaise with brokers, clients, lenders, solicitors,and other businesses.
Establish loan files manually and electronically and orders all exhibits soon after file is received.
Communicating with and providing support to brokers, lenders, valuation team.
General office administration work like arranging meetings, documentation, reporting.
Handled approximately 5 clients files at same time
Enhanced team productivity by streamlining processes and implementing time-saving strategies.
Business Analyst Trainee
Nebico Private Limited
Nepal
11.2017 - 01.2020
Track investment and maintain relevant cash reserves
Conducted market research and analysis to identify customer needs and preferences
Analyzed sales data and trends to optimize inventory management and stock replenishment strategies
Understanding each department's (e.g
Marketing, Sales) daily processes and goals
Collaborated with cross-functional teams to improve operational efficiency and customer experience.
Enhanced interdepartmental communication through regular meetings and collaborative projects.
Education
Bachelor of Business Studies (Accounts) -
Shwoyambhu International College
Nepal
10.2017
Master of Business Analytics -
La Trobe University
Bundoora, VIC
07.2024
Skills
Data Mining
ETL processes
Tableau Software
R Programming
Data Cleaning
Text Analytics
Business Analysis
Knowledge
Analytical skills: Proficient in analyzing data, identifying patterns, and generating insights.
Statistical analysis: Familiarity with statistical concepts and tools such as regression, clustering, and hypothesis testing.
Data visualization: Experience in visualizing data using tools like Tableau or Power BI.
Programming languages: Proficient in SQL and R; familiarity with Python.
Data manipulation: Ability to clean, transform, and manipulate data to prepare it for analysis.
Problem-solving: Strong problem-solving skills with a logical and structured approach.
Communication: Excellent verbal and written communication skills for presenting insights to stakeholders.
Participations
Creating Careers for Women in Technology and Technical Industries, 06/10/2022, 1st runner up