Dhruv Jani Email & Phone Number

United States

- Writing computational essays and implementing creative ideas for public research using Wolfram Language.- Supporting technologies like Wolfram Alpha and Wolfram One.

- Built LLM agent that interact with clients and use vector databases for improved legal data processing and retrieval.-Collaborated on a financial algorithm research project by refining complex economic data using financial modeling and statistical techniques to validate hypotheses and ensure alignment with both business and legal objectives.

- Designed and implemented a Python-based tool to subset volumetric two-photon imaging data into serial 2D slices at any angle, enabling more accurate cross-section recovery from 3D datasets.-Utilized NetworkX algorithms for subgraph matching to embed imaging data, enabling the comparison of neural and transcriptomic data at nearly single-cell resolution.

New York, United States

Advisor: Prof. Xuan Di and Yongjie FuResearch: Generative model for driving scenarios with Text prompt

Manhattan, New York, United States

- Built & tested two AI models for molecular drug discovery by examining Protein-Ligand docking score prediction with pre-trained GNN model.- Implemented Self-Supervised Graph Transformer on Large-Scale Molecular Data deploying Python and TensorFlow.- Developed a Graph Convolutional Network (GCN) using PyTorch to predict 250 docking scores based on Simplified Molecular Input Line Entry System (SMILES) representations.- Translated 10K SMILES strings to numerical data and… Show more - Built & tested two AI models for molecular drug discovery by examining Protein-Ligand docking score prediction with pre-trained GNN model.- Implemented Self-Supervised Graph Transformer on Large-Scale Molecular Data deploying Python and TensorFlow.- Developed a Graph Convolutional Network (GCN) using PyTorch to predict 250 docking scores based on Simplified Molecular Input Line Entry System (SMILES) representations.- Translated 10K SMILES strings to numerical data and executed a conversion function, facilitating seamless mapping from SMILES (str) to docking scores (float). Show less

Davis, California, United States

- Applied natural language processing (NLP) to identify and standardize variations in the way acquisition and merger information is presented across 6 different business and fintech sectors.- Performed detailed data visualization with Power BI, Tableau, and MS Excel, offering real-time insights into business activities and enabling a dynamic approach to monitoring technology market acquisitions and company mergers.- Employed data analytics techniques (text-pattern matching) to… Show more - Applied natural language processing (NLP) to identify and standardize variations in the way acquisition and merger information is presented across 6 different business and fintech sectors.- Performed detailed data visualization with Power BI, Tableau, and MS Excel, offering real-time insights into business activities and enabling a dynamic approach to monitoring technology market acquisitions and company mergers.- Employed data analytics techniques (text-pattern matching) to extract valuable trends with 75% accuracy from extensive datasets of acquisition headlines contributing to a comprehensive understanding of business economics and market. Show less

Mountain View, California, United States

- Analyzed survey data of 1M+ clinical records using statistical programming such as longitudinal analysis, mixed effect modeling, and model building for clients.- Prepared 4 project reports to forecast trends using linear regression models; identified 7 independent and dependent variables with 83% accuracy.- Established strong data analysis skills in Excel and Minitab (statistical analysis software) in order to perform root cause analysis on material failures.

Davis, California, United States

- Provided group tutoring to 20 students, offering support in grasping high-school mathematical concepts and problem-solving techniques.- Collaborated with 4 student assistants to organize workshops, STEM outreach programs, trivia nights, networking events and guest speaker series.- Incorporated real-world examples and applications to enhance the practical understanding of probability theory and linear programming during weekly office hours

Master Of Science, Operations Research & Industrial Engineering

Bachelor'S Degree, Mathematics And Statistics