Vatsal Shah Email & Phone Number

Oakland, California, US

- Generative AI * Spearheaded generative AI projects, ensuring safety and quality of large language models as a founding scientist * Led the development of retrieval augmented generation pipeline reducing model hallucination and improving retrieval performance by over 10%. * Aligned generative AI goals with business objectives and user needs

Oakland, California, US

- Personalization & Ranking (Feed Ranking Team) * Led data science team to design and implement deep learning models for ad ranking and recommendation systems * Led technical improvements in a variety of domains like revenue and user engagement, large scale feature mining, and content quality. * Achieved over 5% growth in key metrics across multiple.

Oakland, California, US

Personalization & Ranking (Feed Ranking team) * Led data science team to design and implement deep learning models for ad ranking and recommendation systems * Led technical improvements in a variety of domains like revenue and user engagement, large scale feature mining, and content quality. * Achieved over 5% growth in key metrics across multiple.

Oakland, California, US

Financial Risk Modeling * Managed development and deployment of "approval odds" models, providing transparency and certainty for users applying for financial products * Collaborated with data and banking partners to ensure high accuracy and risk mitigation * Increased revenue by over 5% and enhanced user trust and satisfaction * Presented data-driven.

Los Angeles, CA, US

• Developed a system to detect trends in economics of innovation over time by analysing a massive dataset consisting of academic publications using machine learning and natural language processing (topic modelling).
• Worked on natural language processing for topic modelling algorithms like LDA and HDP.
• Reduced processing time for resource intensive tasks from days to hours by optimizing code for parallel computing on USC’s high performance computing cluster (HPC). TECH STACK: MySQL, Python, HPC

• Contributed towards building in-house machine learning models for income estimation, credit underwriting and vehicle pricing.
• Deployed the income estimation model as a real time production service using Fair's proprietary data pipelines and training infrastructure.
• Benchmarked and validated model performance against industry benchmarks for incomes ranging from USD 30k – USD 300k.
• Devised a novel approach based on fuzzy keyword matching for finding more accurate vehicle matches to be used in Fair’s vehicle pricing models.
• Collaborated across engineering and business units to develop data products driven by business needs.

Mumbai, Maharashtra, IN

• Aided in the development of scalable machine learning algorithms for motion recognition.
• Primarily worked on ensemble learning methods, Artificial Neural Networks (ANN), and SVM for pattern recognition using Python. Benchmarked performance of various algorithms and automated the entire process from.
• Was successful in improving classification accuracy by identification of algorithms that would be better suited to the problem.
• Brought innovative ideas for building powerful predictive models through feature value analysis, feature transformation, dimensionality reduction, and impactful feature extraction.
• Worked on extraction of useful features using signal processing methodologies like discrete wavelet transform (DWT), Fast Fourier Transform (FFT), and Deep Learning based feature extraction.
• Worked on deploying the algorithm on the cloud and handled data streaming through proprietary cloud services.

• Successful in developing a predictive model to forecast and minimize flight delays. Accuracy: 75%
• Acquired, analysed and interpreted datasets from various sources and extracted key business insights from them.
• Applied clustering, logistic regression, and various machine learning algorithms. https://github.com/vatsalgit/Flight-Delay-prediction.TECH STACK: R, SQL, JSON, Random Forest

Redmond, Washington, US

Acting as a Microsoft technology evangelist on campus.Organize technical seminars on Microsoft technologies free for all students in association with Microsoft.

Mumbai, Maharashtra, IN

Received intensive training on cyber security and ethical hacking.

Master’S Degree, Computer Science (Data Science)

Bachelor'S Degree, Information Technology

High School, Physical Sciences