Parika Vyas — Co-Founder

On a conquest to build the next most impactful AI. As an engineer turned self-taught data scientist, I am driven by the immense potential of AI to revolutionize businesses, society, and our daily lives. Currently, I am a First Year MBA student at Fuqua. Before Fuqua I was at Bloom AI leading Data Science initiatives empowering F-1000 asset and investment management companies with cutting-edge AI, ML products, and intelligent agents. I have collaborated with cross-functional teams to integrate Enterprise AI into marketing and sales, driving innovation and efficiency. Previously at ZS, I spearheaded AI-powered solutions across healthcare, pharma, software, and e-commerce industries. Beyond my technical contributions, I founded the Data Science Community - an initiative that brought new joiners and AI enthusiasts together to learn and share insights. Also started and hosted a highly popular firm-wide podcast interviewing AI leaders across ZS and AI industry. I am passionate about blending technology with strategic thinking to deeply understand customer needs and lead cross-functional teams in delivering scalable, impactful solutions. My goal is to leverage AI to build products that drive positive change. Happy to connect with like-minded individuals!

Stackforce AI infers this person is a Data Science expert with a focus on AI solutions in Healthcare and SaaS industries.

Location: Durham, North Carolina, United States

Experience: 7 yrs 1 mo

Skills

Data Science
Machine Learning
Predictive Modeling
Deep Learning
Computer Vision

Career Highlights

Led AI initiatives for Fortune 1000 companies.
Founded a Data Science Community for knowledge sharing.
Developed a pandemic forecasting solution recognized internationally.

Work Experience

Bloom AI

Associate Vice President, Data Science (1 yr 3 mos)

ZS

Data Science Associate Consultant (1 yr 9 mos)

Data Science Associate (1 yr 11 mos)

Data Science Associate Intern (5 mos)

Pari-Udaan

Co-Founder (6 yrs 5 mos)

Illinois Institute of Technology

Summer Research Intern (2 mos)

Literary Society, BIT Mesra

Vice President (1 yr 2 mos)

General Secretary (1 yr)

Microtek Systems Inc

Intern (1 mo)

Forbes Marshall

Intern (2 mos)

Education

Master of Business Administration - MBA at Duke University - The Fuqua School of Business

Bachelor of Engineering - BE at Birla Institute of Technology, Mesra

Immersive Summer Research Programme at Illinois Institute of Technology

SSC Board at Rajiv Gandhi Academy of e- Learning School

Arangetram alongside Visharad at Akhil Bharatiya Maratha Shikshan Parishad's College of Engineering & Research

ICSE at Hutchings High School & Jr. College, Pune

Parika Vyas

Co-Founder

Durham, North Carolina, United States7 yrs 1 mo experience

Highly Stable

Key Highlights

Led AI initiatives for Fortune 1000 companies.
Founded a Data Science Community for knowledge sharing.
Developed a pandemic forecasting solution recognized internationally.

Stackforce AI infers this person is a Data Science expert with a focus on AI solutions in Healthcare and SaaS industries.

Contact

Skills

Core Skills

Data ScienceMachine LearningPredictive ModelingDeep LearningComputer Vision

Other Skills

A/B TestingApache KafkaApache SparkCCassandraClustering AlgorithmsConvolutional Neural Networks (CNN)Data AnalysisDeep Neural Networks (DNN)Federated LearningFlaskGraph ModelsGraph Neural NetworksHyperparameter TuningImage Processing

About

Experience

Bloom ai

Associate Vice President, Data Science

Apr 2024 – Jul 2025 · 1 yr 3 mos

Leading Data Science Initiatives for F-1000 AMC and Investment Management companies - building scalable solutions to track and improve customer growth and success with help of personalization using ML algorithms, Python, etc

Machine LearningPythonData Science

Zs

3 roles

Data Science Associate Consultant

Promoted

Jun 2022 – Mar 2024 · 1 yr 9 mos

Spearheaded multiple AI, DS projects to enhance marketing strategy, pricing and sales techniques of consumer health products of F-100 pharma and healthcare companies.
Built product using forecasting models to track and predict changes in Japan drug prices.
Led team to build DS solution to generate automated personalized marketing campaigns for 26K+ HCPs
Represented ZS in the US-UK Privacy Enhancing Technologies Prize Challenge 2023, securing 3rd place for a pandemic forecasting solution at The Summit for Democracy. Built a privacy-preserving ML model to forecast Covid widespread.

Predictive ModelingNatural Language Processing (NLP)Deep Neural Networks (DNN)A/B TestingFederated LearningApache Spark+3

Data Science Associate

Jul 2020 – Jun 2022 · 1 yr 11 mos

Built optimization models using Spark, Python, Databricks, and Gekko to optimize marketing spend across multiple channels, scaling the solution to 8 brands.
Developed the Market Segmentation module for ZS's Personlize.AI product, implementing clustering algorithms in Pyspark, Apache Kafka, Cassandra.
Received the ZS Young Champion - Early Adopter Award in 2021 for exemplary performance as an Associate.
Personalize.AI product received the ZS Agile Innovation of the Year Award in 2020 for building a unique first-of-its-kind SAAS product at ZS.

Apache KafkaPredictive ModelingTime Series AnalysisA/B TestingCassandraSegmentation+2

Data Science Associate Intern

Jan 2020 – Jun 2020 · 5 mos

Built a scalable personalised recommendation system as an independent module, along with other preprocessing modules from ideation to deployment.
Used graph neural networks’ Stellargraph library.
Worked on Cassandra, AWS, Hadoop, Python, Pyspark, Similarity calculation for large matrices.
Worked on the design and concept for the field coaching tab.

Pari-udaan

Co-Founder

Oct 2019 – Present · 6 yrs 5 mos · India

Working with my mother to build a non-profit organisation that aims to empower young girls and women from the Dungarpur district of Rajasthan by organizing workshops and distributing scholarships.

Illinois institute of technology

Summer Research Intern

May 2019 – Jul 2019 · 2 mos · Chicago, Illinois

Built an image classification model by hyperparameter tuning of neural network and performed hyper parameter analysis.
Studied 9 hyperparameters and implemented all types of optimisers, loss & activation functions, learning rates for optimisation using manual & grid search.
Hyperparameter Tuning for Neural Network Optimisation to build 2 models used for apparel recognition and species classification.

Literary society, bit mesra

2 roles

Vice President

Apr 2019 – Jun 2020 · 1 yr 2 mos

General Secretary

Apr 2018 – Apr 2019 · 1 yr

Microtek systems inc

Intern

Dec 2018 – Jan 2019 · 1 mo · Pune

Built an end-to-end app to detect broken phone screens for an insurance company.
Generated a phone screen database by clicking 4K+ photos, built computer vision model using CNNs with 94.6% accuracy.
Built the web app using Flask - with interface for drag and drop of image.

Deep LearningConvolutional Neural Networks (CNN)FlaskImage ProcessingPythonComputer Vision