United States

Data Product Management

Data Scientist

Data engineering

AI/ML Engineering

Master's Degree

Vyoma Gajjar

AI Technical Solutions Architect

Public Speaking

Problem-solving

Leadership

Data mining

Data visualisation

Machine learning

Market research

Mathematics

Python

Airtable

Apache Spark

Jupyter Notebook

Numpy

BigML

Mural

Critical-thinking

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

Getting the most out of my internship

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

Negotiating a job offer

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

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

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

Running effective meetings

Learn how to properly present your work and share ideas and opinions.

Presenting your work with impact

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

Leveraging Product Analytics

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

Being a woman in tech

This role assumes overall technical responsibility for the success of solution construction, implementation and system integration in a technology, industry or business specialty. 
It involves delivery of new and complex high quality solutions to clients in response to varying business requirements. 
Utilization of in-depth knowledge of leading-edge products and technology in conjunction with industry and business skills to influence clients.

Enabling clients to leverage foundational models across industries, developing GenAI infused systems to automate and streamline their current business processes, reduce churn and operationalized costs to induce personalized recommendations using the watsonx platform leading to increased customer engagement and continuous product development on the platform

Involved in strategizing and recommending data science solutions to clients
Developing reusable pipelines integrating IBM OpenScale and OpenPages for Machine Learning Models
Contributing to the development of Machine Learning models with third-party services

Mentor students enrolled in courses of UT Austin Data Science and Business Analytics Course
Impart real world knowledge regarding the course through case studies and examples

Developed and executed statistical learning algorithms using anomaly clustering, supervised machine learning models to implement AML (Anti-Money Laundering) for financial institutions
Developed optimal entity recognition model using sparkNLP and spaCy
Developed reusable ML frameworks for automatic feature generation, model selection and identifying false positives
Mentor a team of data science apprentices to tackle real world problems using ML/AI
Assist the higher management team in projects to predict and analyse sales and marketing data using cutting edge ML/AI solutions

Assisting in the development of Anti-Money Laundering Platform using statistical models like anomaly clustering, optimal entity recognition model. 
Developing reusable ML frameworks for automatic feature generation, model selection and identifying false positives

Contributed to the development of the Audience Profile Insights service (Customer Profile Generation) - specifically, the port of existing audience insights (System T) code onto Spark platform and created a scalable approach to detect meaningful locations (e.g. work, home party etc.) given a latitude and longitude depending on customer behavior and a statistical algorithm to increase the precision of point of interest mappings in a given location using dimensional reduction, k-medoids clustering

Work with a development team or research team that is involved in the development of Data Mining, Artificial Intelligence, Machine Learning, or Analytics applications for Direct Supply.

Developed and executed machine learning algorithms to create personalized recommendation engine to increase customer satisfaction and elevate sales, created a data visualization dashboard to evaluate seamless data and enhance visual data analytics
Responsible for contributing to the team in collecting and cleansing large data sets for analysis, developing and executing algorithms to solve specific business problems, and interpreting the results for validity.

Resolved critical issues related to folder apps, animation, language translations, favorite widget and Touchwiz launcher during product development lifecycle in various Samsung smartphones, tablets and gear devices

Implemented multiple screen management.
Improvised USB Contextual Page Management. 
Create Favorite App widget to enhance customer usability.

Vyoma Gajjar🇺🇸

About Vyoma Gajjar

Expertise

What mentees say