WHAT WE OFFER

OUR SERVICES & PAST CLIENTS

OUR SERVICES

GIVEN OUR DIVERSE RANGE OF STUDENT TALENT, WE OFFER SERVICES IN BOTH BUSINESS AND TECHNICAL AREAS

SALES & MARKETING

Strategy Development

Brand Positioning

Primary Research

Go to Market

Product Launch

Campaign Development

MARKET RESEARCH

Industry Overview

Market Trends

Competitor Analysis

Consumer Research

Market Landscape

Opportunity Analysis

SOFTWARE DEVELOPMENT

App Development

Front-end Development

Back-end Development

Web Development

UI/UX Design

Implementations

DATA ANALYTICS

Data Cleaning

Visualization Building

ETL Processes

Operations Optimization

KPI Tracking

Performance Analytics

SELECT CLIENTS

A LOOK AT THE WORK WE'VE DONE FOR CLIENTS IN THE PAST

Our team provided recommendations on integrating machine learning and artificial intelligence to automate and ease interactions between Google employees and customer service agents to revolutionize the company’s internal help desk pipeline.

Our team identified how Lamborghini can leverage their sustainability efforts within marketing to attract Gen Z customers. We conducted market research, consumer studies, and impact assessments to create actionable marketing strategies presented to the Americas CEO.

Our team provided recommendations on which states are best for further IKEA market penetration, along with marketing strategies for entering the market. Final deliverable presented to the CEO and CCO of IKEA USA.

Our team created a proof of concept for a backend machine learning based security information and event management (SIEM) solution (specifically the threat detection component).

Our team conducted market research to determine best use cases for Lenovo’s new line of AI PCs and developed models for multiple of the identified use cases and deployed them on Lenovo’s AI PCs.

Our team conducted market research on hardware and software preferences of AI practitioners for Nvidia’s product management team to improve their products.

Our team conducted global consumer research
for artist Bad Bunny and ideate
marketing strategies to accelerate his growth internationally, pinpointing two ideal countries for
expansion.

Our team built an exploratory data analysis notebook in Python that a data scientist can leverage using the
latest functionality of the Databricks Lakehouse Platform.

Our team conducted market research to build a framework for execution of an internal cybersecurity consulting branch.

Our team developed a centralized, secure, and user-friendly dashboard to efficiently manage and retrieve various case types for AMD’s legal team, leveraging Azure resources.

Our team created an MVP mobile application for construction workers, including a Login Workflow, Analytics Dashboard, and UI/UX design.

Our team analyzed documentation and public
information to identify three pain points: lack of product portfolio linkage, limited marketing expenditure compared to peers, and general decreased awareness.

Our team analyzed the diversity profiles of Starbucks' outside counsel firms and provided recommendations accordingly.

Our team strategized best practices to generate leads for Canon’s Explorer of Light Series, specifically focusing
on Gen Z as the target
demographic.

Our team worked to update Patagonia’s current Social Media Engagement Playbook, understand what KPIs make content successful and engage with younger audiences to encourage climate change activism.

Our team analyzed the economic impact of the Ryder Cup on host cities within the USA, including but not limited to short and long term job creation, infrastructure, and tourism.

Our team researched trends within microservice architecture and provided five recommendations for applicable use cases in the fast- moving consumer goods industry.

Our team worked to understand current developer sentiment regarding databases, devising recommendation for improving upon Oracle’s product offerings.

Our team designed, and wrote content for the AI Documentation Portal, an internal site to host AI-related documentation in a centralized place. This is built mainly for Data Analysts and Data Scientists but can be accessed by any Intuit employee.