Lin (Lily) Han

Lin (Lily) Han Email and Phone Number

Deloitte Data Analyst, 2020 Schulich MBAN @ Deloitte
new york, new york, united states
Lin (Lily) Han's Location
Toronto, Ontario, Canada, Canada
About Lin (Lily) Han

Analytics professional graduated from the Master of Business Analytics program at Schulich School of Business. 8 months’ data science internship specialized in analyzing, modeling, and visualizing large and complex datasets. Superior programming, analytical reasoning, problem-solving, and communication skills. • Certifications: CFA Level II Candidate (passed Level I at 90th percentile), SAS 9.4 Certified Base Programmer, HackerRank Python (Basic) Certificate

Lin (Lily) Han's Current Company Details
Deloitte

Deloitte

View
Deloitte Data Analyst, 2020 Schulich MBAN
new york, new york, united states
Website:
deloitte.com
Employees:
295722
Lin (Lily) Han Work Experience Details
  • Deloitte
    Senior Data Analyst
    Deloitte Sep 2022 - Present
    Toronto
  • Deloitte Canada
    Financial Crime Analytics Analyst
    Deloitte Canada Dec 2020 - Aug 2022
    Toronto, Ontario, Canada
  • Schulich Chinese Alumni Network
    Deputy Secretary-General
    Schulich Chinese Alumni Network Jul 2020 - Present
    Toronto, Ontario, Canada
    Established in 2008, Schulich Chinese Alumni Network (S.C.A.N.) is a registered not-for-profit organization operated by Schulich Chinese alumni.• Analyzed registration data patterns utilizing Python and designed questionnaire utilizing Google Forms and Tencent Questionnaire• Built alumni database by integrating a large amount of data from different sources (Excel and social media) • Developing long-term relationships with global Schulich alumni, especially 1-year Master alumni
  • Exigent Group Limited
    Data Science Intern
    Exigent Group Limited Sep 2019 - Apr 2020
    Toronto, Ontario, Canada
    • Expanded existing clienteles in the real estate sector by creating Power BI dashboards supported by predictive models for clients to generate customized property reports and gain investment insights • Preprocessed 5 datasets utilizing NumPy and Pandas python libraries and researched 10 property data sources cooperated with teammates• Increased predictive accuracy by constructing linear regression model & boosted tree model using R in a team • Scored A+ and received positive feedback from the CEO for high-quality dashboard reports & code presentations
  • Guosen Securities
    Operational Trainee
    Guosen Securities May 2017 - Aug 2017
    China, Shen Zhen
    • Enhanced efficiency by 50% of collecting daily sales data for 35+ sales account managers utilizing Excel • Supported data-driven hiring practices by analyzing the top 10% employee performance and demographic data • Led 4 trainees to organize 5+ team-building events and detect 100+ errors from clients’ information data sets

Lin (Lily) Han Education Details

Frequently Asked Questions about Lin (Lily) Han

What company does Lin (Lily) Han work for?

Lin (Lily) Han works for Deloitte

What is Lin (Lily) Han's role at the current company?

Lin (Lily) Han's current role is Deloitte Data Analyst, 2020 Schulich MBAN.

What schools did Lin (Lily) Han attend?

Lin (Lily) Han attended Schulich School Of Business - York University, York University, Guangdong University Of Technology, Shenzhen Senior High School.

Who are Lin (Lily) Han's colleagues?

Lin (Lily) Han's colleagues are Anshul Dhiman, Andrea Hellstrand-Rodewig, Anisha Maheswari, Esther Ponciano, Harry Telfer-Smith, Ca Kishore Singh Bidawat, Sidray Gasti.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.