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I'm Ritik Ojha, a Princeton-based computer science student and data science enthusiast. I'm currently an Exchange Graduate Student in Computer Science at Princeton University (Aug 2025 - Present) and pursuing an MS in Data Science (Statistics) at Rutgers University-New Brunswick (Sep 2024 - Present). I enjoy building intelligent systems, NLP solutions, and data-driven applications, with a focus on education and healthcare use cases. In roles at Infutrix and Hypersonix, I designed and deployed AI-powered solutions, automated pricing for thousands of products, forecasted demand with time-series models, and built scalable ML pipelines on AWS. I thrive in cross-functional teams and am passionate about turning data into reliable, impactful products.…I'm Ritik Ojha, a Princeton-based computer science student and data science enthusiast. I'm currently an Exchange Graduate Student in Computer Science at Princeton University (Aug 2025 - Present) and pursuing an MS in Data Science (Statistics) at Rutgers University-New Brunswick (Sep 2024 - Present). I enjoy building intelligent systems, NLP solutions, and data-driven applications, with a focus on education and healthcare use cases. In roles at Infutrix and Hypersonix, I designed and deployed AI-powered solutions, automated pricing for thousands of products, forecasted demand with time-series models, and built scalable ML pipelines on AWS. I thrive in cross-functional teams and am passionate about turning data into reliable, impactful products.

Ritik Ojha

Data Scientist, AI Engineer, AI Developer, +2

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I'm Ritik Ojha, a Princeton-based computer science student and data science enthusiast. I'm currently an Exchange Graduate Student in Computer Science at Princeton University (Aug 2025 - Present) and pursuing an MS in Data Science (Statistics) at Rutgers University-New Brunswick (Sep 2024 - Present). I enjoy building intelligent systems, NLP solutions, and data-driven applications, with a focus on education and healthcare use cases. In roles at Infutrix and Hypersonix, I designed and deployed AI-powered solutions, automated pricing for thousands of products, forecasted demand with time-series models, and built scalable ML pipelines on AWS. I thrive in cross-functional teams and am passionate about turning data into reliable, impactful products.…I'm Ritik Ojha, a Princeton-based computer science student and data science enthusiast. I'm currently an Exchange Graduate Student in Computer Science at Princeton University (Aug 2025 - Present) and pursuing an MS in Data Science (Statistics) at Rutgers University-New Brunswick (Sep 2024 - Present). I enjoy building intelligent systems, NLP solutions, and data-driven applications, with a focus on education and healthcare use cases. In roles at Infutrix and Hypersonix, I designed and deployed AI-powered solutions, automated pricing for thousands of products, forecasted demand with time-series models, and built scalable ML pipelines on AWS. I thrive in cross-functional teams and am passionate about turning data into reliable, impactful products.

Available to hire

I’m Ritik Ojha, a Princeton-based computer science student and data science enthusiast. I’m currently an Exchange Graduate Student in Computer Science at Princeton University (Aug 2025 - Present) and pursuing an MS in Data Science (Statistics) at Rutgers University-New Brunswick (Sep 2024 - Present). I enjoy building intelligent systems, NLP solutions, and data-driven applications, with a focus on education and healthcare use cases.

In roles at Infutrix and Hypersonix, I designed and deployed AI-powered solutions, automated pricing for thousands of products, forecasted demand with time-series models, and built scalable ML pipelines on AWS. I thrive in cross-functional teams and am passionate about turning data into reliable, impactful products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer Intern at Infutrix

June 1, 2025 - August 1, 2025

Designed and deployed a chatbot by combining Retrieval-Augmented Generation (RAG) with an ensemble of retrievers and a Mistral-based reranker, reducing hallucinations and delivering more reliable answers. Optimized the model with few-shot learning, integrating LangChain with FastAPI to enhance fast, context-aware pipelines for real-time communications, improving response time by 30 percent. Developed and implemented AI-driven solutions for education and healthcare sectors, leveraging advanced techniques to improve system reliability and performance.

Data Scientist - Competitor AI at Hypersonix Inc.

June 1, 2022 - July 1, 2024

Delivered visibility into competitors’ pricing, assortment, and promotional strategy by matching products using text embeddings for top-k matches and optimizing prompts to match complex attributes, resulting in more accurate pricing decisions. Automated pricing decisions for a client, resolving inconsistencies in prices for 30,000 products at a grocery business, and analyzed at least 20 competitors in the contact-lenses business for better pricing.

Data Scientist - Forecasting AI at Hypersonix Inc.

June 1, 2022 - July 1, 2024

Forecasted demand for e-commerce and retail industries to drive profitability across the United States. Ran clustering on large-scale time series and forecasted using a LightGBM regressor for each cluster, ensuring longer-horizon predictions for different demand patterns. Layered the forecasts with a classification model to address demand predictability, leading to a 30 percent increase in annual revenue and a 20 percent rise in average order value for a global retailer. Collaborated with a cross-functional team to build, validate, and deploy machine-learning solutions; utilized AWS (e.g., SageMaker) to automate model training, evaluation, and deployment pipelines.

Data Science Intern at Hypersonix Inc.

February 1, 2022 - May 1, 2022

Generated user segments for high-value and loyal customers with RFM and LTV models. Modeled variation in buying behavior and calculated customer lifetime value with a gamma-gamma model. Built a next-day demand forecasting model for the top 10,000 products using LightGBM.

AI/ML Engineer - Auto-rating service agents (Personal Project) at Auto-rating service agents project

March 1, 2025 - Present

Clustered conversations between users and service agents using BERT embeddings, improving company service quality by identifying positive and polite agent interactions. Reduced the dimensionality of tokens for faster clustering while capturing higher-dimensional relationships. Used semantic metrics (e.g., VADER sentiment) for positive and polite conversations, assigning higher ratings to the best service agents.