Data Analysis

We’d like students to help analyze retail industry datasets to develop impacts of covid on retail product sales. Retail industry has gone through massive disruption due to the change in customer behavior, market dynamics and supply chain challenges. The marketing and sales solutions requires augmentation from industry data to learn about new buying patterns emerging as customers adapt to lifestyle needs post pandemic. We want to analyze Industry trend data for customer shopping habits based on income, product sales data to develop insights for marketing campaigns through recommendation engines and insights drawn from data analysis.

Machine Learning Development Platform - Customer and Competitor Analysis

Our solutions are in the Data Science technologies and up-skilling workforce with data skills. As this is an aggressively growing market the competition and customer demands also vary widely. Our intention is to perform a comprehensive analysis of our data science collaboration platform with respect to customer demands and competitor analysis. This project may include, but is not limited to: Identifying customer segments to targetCompiling relevant market and competitor information. Developing a business expansion plan The final project deliverable is a report including research, analysis, and recommendations. It should assist our sales team in successfully prospecting within our target market with actionable recommendations that will increase sales conversions.

Strategic Prospecting Plan - Machine Learning Solutions

To become a proactive sales team, we need assistance developing an outreach process. We would like to equip our sales team with a plan that guides them in researching new prospects, identifying key contacts, and reaching out with compelling messages. We would like you to create a simple step-by-step strategy for prospecting in our target market. Our solutions are in the Data Science technologies and up-skilling workforce with data skills. This project may include, but is not limited to: Identifying new potential accounts that align with our current customer base. Compiling relevant market information. Building a customizable outreach script. The final project deliverable is a report including research, analysis, and recommendations. It should assist our sales team in successfully prospecting within our target market with actionable recommendations that will increase sales conversions.

Podcast Production - with data stories for corporate world

Podcasting is a rapidly growing content medium, with a highly localized consumership. Working with students, we would like to take advantage of the trend and create a season of our own podcast. We would like for students to deliver a 5-episode podcast series, to share with consumers the challenges and best practices to build data savvy team Students could accomplish the following: Script each podcast episode. Edit the recorded audio for final publication. Coach participants for success on the microphone. Provide recommendations on increasing listenership.

Strategic AI & Machine Learning Application

We want to leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to strategically apply AI and machine learning to develop a conversational search engine capability to help users learn about machine learning concepts and terminologies. The project goal is to build a conversational chatbot using Python and open source frameworks to search publicly available AI and Machine learning resources to respond to the search keyword/phrase/question given to the chatbot. Students should be prepared to: Identify and present a design for the solution using open source frameworks Develop a scalable solution that can be used by 100s of users concurrently Integrate a methodology to take feedback from users to improve the search outcomes. Ability to learn from new relevant information available in the internet A few deliverables include: Application to find content form publicly available reference materials Algorithm and source code for the chatbot Documents to explain architecture, design, outcomes

B2C Product Launch to new market

We are expanding from a B2B company to both B2B and B2C with focus of creating relevant products for our consumer. With this in mind, we have created a new product and tailored to direct to consumer needs.  When we created our original product offering, we surveyed enterprise customers and developed marketing approach and offers accordingly. We believe our market might be changing and we need help proving this. This knowledge will aid in a new approach to marketing, especially for our new product.  Our specific need is determine what competitors are also playing in this landscape and what our target market’s perception is of these competing brands/products. This information will help us determine what key messaging will resonate with our target buyer.  Our product is Data Coach® to empower professionals in all functions with data science skills, so they can successfully leverage emerging technologies to become data savvy and effectively apply for business decisions. We offer unique way to learn complex technical and statistical information using applied micro-learning approach that integrates "learning by doing" mindset. You can read more about this at www.Volantsys.com website. Successful outcomes include a market research report, informed by primary data collection.  We would like to understand our customer base through surveys and conversations with  our present and future consumer to gather insights into buying behaviours, expectations, and experiences with us and our competitors. This data should inform a final report that outlines key messaging that our consumers have come to know, want and expect based on the current landscape. 

Virtual Internship Opportunity: Computer Science- Azure ML Lab

Our organization is able to offer a virtual internship opportunity for 3 computer science students as a team to integrate outputs from the Azure Machine Learning lab within web application. The primary focus for the student will be: Application Development - Selecting the best technologies and architecture for creating an application to integrate Azure Machine learning lab to extract outputs from the Machine learning solution development process . Create a fully-functioning application for the following business requirements: 1) to launch Azure ML lab within the web application 2) Read and extract commands and output files from the machine learning activities performed Machine Learning Software Solution - Understanding how Azure ML Lab performs and the various outputs generated along with the activity. Our goal at the end of this experience is: (please indicate the goal for this placement, or deliverable you expect the student(s) to complete, as exemplified below) Application Development - For the student(s) to create a fully functioning application. The deliverables are fully functioning solution that can be deployed to integrate with products. Machine Learning Software Solution - For the student(s) to develop working Machine learning solutions in Azure ML both using Python and AutoML functionality to test with the application that integrates ML outputs within a web application. Other duties the student may complete could include : (indicate other duties as exemplified below) Unit and integration testing We will plan to communicate with our virtual intern using these communication tools: Microsoft Outlook, Sharepoint, Teams Student's primary contact : (Gowri Selka, President Secondary contact: (Srinivas Kolakaluri, CTO

Virtual Internship Opportunity: Computer Science- Jupyter Output Analysis

Our organization is able to offer a virtual internship opportunity for 3 computer science students as a team to automate the processing and analysis of the Jupytyr Machine Learning program to streamline data mining process. The primary focus for the student will be: Application Development - Selecting the best technologies and architecture for creating an automated Jupytyr notebook file processing application. Create a fully-functioning application for the following business requirements: 1) Batch job to read and load Jupytyr file from file system 2)An application to read Jupytyr file and process into smaller files in specific templates based on python commands 3) Create an output file for each jupytyr file using specific templates based on python commands 4) store processed outputs in PDF formats in output file system by use case name and command type Machine Learning Software Solution - Creating a NLP solution that processes outputs from Jupytyr files based on commands used. Identify file types based on types of packages and commands used in Python files in Jypytyr notebook Our goal at the end of this experience is: (please indicate the goal for this placement, or deliverable you expect the student(s) to complete, as exemplified below) Application Development - For the student(s) to create a fully functioning application. The deliverables are fully functioning solution that can be deployed as containers to integrate with products. Machine Learning Software Solution - For the student(s) to help us develop effective machine learning solutions that classifies Jupytyr files based on commands and packages used. Other duties the student may complete could include : (indicate other duties as exemplified below) Unit and integration testing We will plan to communicate with our virtual intern using these communication tools: Microsoft Outlook, Sharepoint, Teams Student's primary contact : (Gowri Selka, President Secondary contact: (Srinivas Kolakaluri, CTO