United States

Growth Product Management

Data Product Management

Data Analysis

Data Scientist

Technical writing

Content Strategy

Social media writing

Program Management

Master of Science - MS

Bachelor of Science - BS

Kessie Zhang

Statical Analysis

Public Speaking

Product analytics

Communication

Problem-solving

Time management

Critical-thinking

Empathy

Organisation skills

Presentation skills

Leadership

Analytical skills

Advanced data analytics

AI/ML

Blog writing

Business intelligence

Content creation

Data mining

Data visualisation

LinkedIn writing

Machine learning

Video editing

Apache Spark

Canva

ChatGPT

Databricks

GitHub

Python

Tableau

Pandas

Notion

Stakeholder management

Collaboration

Team player

Conflict resolution

Branding

Content editing

Negotiation

Chatbot

Campaign execution & analysis

Database management

Email marketing

Product strategy

Introduce yourself, define mentoring expectations and goals. Learn and grow together.

General mentorship

Making remote and globally distributed teams work for you and your needs.

Working remotely

Learn essential burnout prevention techniques and replenish physical and emotional energy.

Managing burnout

Talk to people who have learned to manage their imposter syndrome.

Dealing with imposter syndrome

Navigating micro-aggression, getting paid what you are worth and finding a community.

Being a woman in tech

Understanding factors that lead to a motivated team - recognition, communication and more.

Keeping team members motivated

Understand the process of training, motivating and directing your team members.

Managing people

How to create a positive workplace culture that drives collaboration and productivity?

Fostering a good team culture

Steps to building and maintaining a strong, cohesive and effective team.

Building an effective team

Learn the tips to successfully manage a team in a remote environment.

Managing a remote team

How to maintain trust, commitment, accountability deliver results while handling conflict

Avoiding common dysfunctions

How to determine what is a good balance of skill sets for your organization's needs

Building balanced teams

How to identify star candidates, evaluate technical ability, and close hires

Hiring software engineers

Decision making as a software engineer or lead - how to become better at making the right choices

Making better tech choices

Strategies for maximizing your design internship or co-op program.

Getting the most out of my internship

Tips for transitioning into a new role or company.

Changing roles

How to successfully prepare and position yourself for a job promotion?

How to get promoted

How to ask for a promotion and negotiate for salary raise?

Negotiating a job offer

How to think about design career paths and what progression looks like for designers?

Design career path

Learn the career path and progression for product managers.

Product management career path

Get actionable feedback on your resume or portfolio.

Resume and portfolio review

Practice HR, technical and behavioural interviews with mentors.

Practice mock interviews

Talk to people who've broken into the tech industry and learn their stories.

Breaking into tech

Learn the best ways to answer technical interview questions with frameworks

Acing technical interview questions

How to set up the team for success by defining and measuring team's performance.

Choosing metrics and team goals

Manage team expectations and get the most out of your meetings.

Running effective meetings

Navigating the working relationship with PM's and engineers as a designer.

Working with product and engineering

How to set up product analytics and metrics to track success?

Leveraging Product Analytics

Tips on how to work and collaborate with engineers and developers.

Working with engineers

I lead cross-functional analytical projects, from identifying opportunities, bringing together stakeholders, developing diverse toolkit of rigorous analytical approaches, to telling data-driven stories and writing up the results. 

• Define key metrics, create data models, and craft visualizations depicting product usage insights using Python, SQL, dbt and Tableau to support decision making process. 
• Identify key patterns and growth opportunities using statistical inference and modeling techniques, and provide actionable business recommendations. 
• Optimize data integrations, data models and views while developing new data tracking, and create experimentation analyses and data dictionaries to improve collaboration.

• Joined the Agile Pre-Season Data Analytics group focused on revision, upgrade, consolidation and documentation of the quarterly-cycle suite of Pre-Season Average Per Store programs.
• Modified and optimized codebase of analytical models to support global business decisions. 
• Created documentation to ensure future understanding of functions and processes.

• Teach more than 1000+ students data science and analytics concepts with real-world business cases using Statistics, SQL, and Python.
• Assist students during their lessons and after-hours in topics ranging from exploratory data analysis to real-world applications of regressions, neural networks, and natural language processing in 5 intensive and immersive data science and analysis programs (DS4A Women Fall 2020 & Fall 2021, Amazon Career Choice: DA 4 & 5 & 7
• Mentor students through their final projects in which they're implementing various skills learned throughout the course for each cohort.
• Conduct code reviews and help answer questions/troubleshoot ongoing group projects.
• Provide strategic guidance on program outcomes and improvement weekly.
• Design, write, and edit training documentations for better learning experience.

I was rated as one of the top best Teaching Assistants through my time working as a part time contractor TA with Correlation One based on students' survey. 

I am approachable, patience, encouraging, supportive, resourceful, responsible, a great listener, and always ready to help.

• Gathered products data for the client through web scraping using Python 
• Applied sentiment analysis on product reviews to provide customers with insights that help grow the client’s business
• Built a product recommendation system using Word2vec to help maximize revenue from upselling and cross-selling
• Provided timely ad-hoc analysis and data visualization for the client via SQL that inform business decisions
• Performed API testing using Postman
• Continuously looked for ways to improve service performance and incorporate user feedback to design and build a better product
• Worked with Customers to understand their requirements to better design and build a world-class ML Platform to improve their productivity and velocity

Kessie Zhang🇺🇸