Vaibhav Gupta

Vaibhav Gupta Email and Phone Number

Student Data Scientist @ Nissan | Vanderbilt Innovation Fellow | Gen AI Engineer Intern @ Vanderbilt | Graduate CS Student @ Vanderbilt University | Former Data Eng @ TCS | Knows the Maths behind AI | Fine-tuning LLMs @ Nissan Motor Corporation
yokohama, kanagawa, japan
Vaibhav Gupta's Location
Nashville, Tennessee, United States, United States
About Vaibhav Gupta

As a dedicated Computer Science professional with a Master’s in progress at Vanderbilt University and a Bachelor of Technology specialized in Big Data Analytics, I have cultivated a profound expertise in data science, machine learning, and artificial intelligence. My academic journey is complemented by a rich professional background, where I progressed from a Data Science Intern to a Data Engineer and Analyst at Tata Consultancy Services, before advancing to a Research Assistant at Vanderbilt University’s Data Science Institute.In my tenure with Tata Consultancy Services, I spearheaded data migration initiatives and leveraged machine learning algorithms to drive customer engagement, contributing to a tangible increase in operational efficiency and revenue growth. My work not only reduced operational costs by 15% but also enhanced customer segmentation, leading to a 35% uplift in engagement and a significant sales boost.At Vanderbilt, my research focuses on the application of complex statistical methods and machine learning models to analyze and predict user behavior on digital platforms, resulting in groundbreaking insights that have improved video engagement accuracy and advertising click-through rates. These initiatives underscore my ability to not only navigate but also innovate within the rapidly evolving landscape of data science and artificial intelligence.My technical repertoire spans across Python, C++, SQL, and more, equipped with deep knowledge in frameworks and libraries such as TensorFlow, PyTorch, and Scikit-Learn. This technical agility, combined with my analytical acumen, positions me to tackle and transform challenges into opportunities for advancement.Through my academic projects, I have demonstrated an exceptional ability to apply cutting-edge technologies to real-world problems, developing solutions from a Netflix Recommendation System to a patent-pending Android App for Cataract Detection. These projects have not only honed my technical skills but also my capacity to think critically and creatively, ensuring impactful outcomes.I am eager to connect with professionals who share a passion for leveraging technology to solve complex problems and drive progress. Let's explore how we can collaborate to create innovative solutions that make a difference.

Vaibhav Gupta's Current Company Details
Nissan Motor Corporation

Nissan Motor Corporation

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Student Data Scientist @ Nissan | Vanderbilt Innovation Fellow | Gen AI Engineer Intern @ Vanderbilt | Graduate CS Student @ Vanderbilt University | Former Data Eng @ TCS | Knows the Maths behind AI | Fine-tuning LLMs
yokohama, kanagawa, japan
Website:
nissan-global.com
Employees:
35332
Vaibhav Gupta Work Experience Details
  • Nissan Motor Corporation
    Student Data Scientist
    Nissan Motor Corporation Aug 2024 - Present
    Nashville, Tennessee, United States
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  • The Wond'Ry
    Vanderbilt Innovation Fellow
    The Wond'Ry Aug 2024 - Present
    Nashville, Tennessee, United States
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  • Vanderbilt Peabody College
    Data Science Intern
    Vanderbilt Peabody College Apr 2024 - Present
    Nashville, Tennessee, United States
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  • Vanderbilt University
    Generative Ai Engineer Intern
    Vanderbilt University May 2024 - Aug 2024
    Nashville, Tennessee, United States
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  • Data Science Institute At Vanderbilt University
    Graduate Research Assistant
    Data Science Institute At Vanderbilt University Nov 2023 - Apr 2024
    Nashville, Tennessee, United States
    As a Research Assistant at the Data Science Institute of Vanderbilt University, I have been instrumental in harnessing the power of data analytics to extract meaningful insights from large datasets. My role involves a blend of sophisticated data analysis, predictive modeling, and strategic feature engineering, all aimed at understanding and influencing user behavior on digital platforms like YouTube.Key Responsibilities:- Data Analysis: Employed web scraping techniques to gather extensive YouTube data from various surveys. Applied advanced statistical methods, including clustering and factor analysis, to segment YouTube users effectively, revealing distinct behavioral patterns.- Machine Learning: Pioneered the development of regression models to forecast user interactions with YouTube content. This initiative has enhanced the prediction of video engagement behaviors, achieving a notable 20% improvement in accuracy.- Feature Engineering: Executed intricate statistical analyses to distill YouTube data, uncovering critical insights into user echo chambers. These insights have been pivotal in crafting targeted advertising campaigns, which have seen a 15% uplift in click-through rates.Professional Development:- Gained expertise in data-driven decision-making and predictive analytics.- Developed a strong acumen for translating complex data into actionable strategies for marketing and user engagement.Keywords: Data Analysis, Web Scraping, Python, R, SQL, Advanced Statistical Methods, Clustering, Factor Analysis, User Segmentation, Regression Models, Predictive Modeling, Video Engagement, Feature Engineering, Echo Chambers, Targeted Ad Campaigns, Jupyter Notebooks, Pandas, NumPy, Scikit-learn, Data Visualization, Tableau, Data-Driven Decision-Making, Data Mining, Statistical Analysis, Machine Learning, Data Cleaning, Data Manipulation, Data Collection, GitHub, Collaborative Filtering, Artificial Intelligence (AI), Business Intelligence (BI).
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  • Data Science Institute At Vanderbilt University
    Teaching Assistant
    Data Science Institute At Vanderbilt University Aug 2023 - Apr 2024
    Nashville, Tennessee, United States
    In my current role as a Teaching Assistant at the Data Science Institute of Vanderbilt University, I have embraced the opportunity to contribute to the educational journey of aspiring data scientists. My responsibilities encompass collaborative curriculum development, personalized student support, and insightful data analysis to refine educational strategies.Key Responsibilities:- Team Work: Collaborated closely with the course instructor to develop compelling course materials and establish clear grading criteria. Conducted regular office hours to offer individualized assistance, focusing on code debugging and homework guidance.- Data Analysis: Played a pivotal role in evaluating student performance data from assignments. This analysis was crucial in pinpointing specific areas where the course curriculum could be enhanced to better serve the learning objectives.Professional Development:- Honed my skills in educational content creation, student mentorship, and collaborative teamwork.- Developed a keen understanding of the pedagogical approaches required to effectively teach complex data science concepts.Keywords: Teaching Assistant, Data Science, Team Work, Curriculum Development, Code Debugging, Data Analysis, Collaborative Teamwork.
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  • Tata Consultancy Services
    Data Engineer And Analyst
    Tata Consultancy Services Jun 2019 - Jun 2023
    Noida Area, India
    As a Data Engineer and Analyst at Tata Consultancy Services, I rapidly advanced from a Data Science Intern to a key player in the data management and analytics team. My tenure was marked by significant contributions to data infrastructure, business intelligence, and machine learning initiatives that drove substantial improvements in efficiency, cost reduction, and revenue generation for a leading pharmaceutical client.Key Responsibilities and Accomplishments:- Data Migration: Engineered and deployed robust data migration pipelines, facilitating the transfer of large datasets from MySQL to Neo4j. This strategic move enhanced data retrieval times and reduced latency by 60%.- Data Analysis: Crafted and implemented PowerBI dashboards post comprehensive stakeholder consultations. Identified and monitored key performance indicators, optimizing business processes and achieving a 15% reduction in operational costs.- Machine Learning: Applied sophisticated statistical and machine learning algorithms to refine customer segmentation and develop personalized marketing messages. This led to a 20% increase in campaign response rates. Collaborated with the marketing team to create targeted campaigns, resulting in a 35% increase in customer engagement and a 25% increase in sales.Professional Development:-Developed expertise in data engineering, analysis, and machine learning to solve real-world challenges.-Gained experience in stakeholder consultation and translating data into actionable business insights.Keywords: Data Engineer, Data Analyst, Data Migration, Data Pipelines, MySQL, Neo4j, Data Retrieval, Latency Improvement, Data Analysis, PowerBI, Business Intelligence, Key Performance Indicators, Operational Efficiency, Cost Reduction, Machine Learning, Statistical Algorithms, Stakeholder Consultation, Business Operations, SQL, ETL, Database Management, Data Visualization, Data Modeling, Graph Databases, Predictive Analytics, Data Integration, AWS, Hadoop, Python, Git
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  • Tata Consultancy Services
    Data Science Intern
    Tata Consultancy Services Jan 2019 - Apr 2019
    Pune, Maharashtra, India
    My internship at Tata Consultancy Services was a deep dive into the world of machine learning and data science, where I played a crucial role in projects that significantly enhanced operational efficiency and decision-making processes. I focused on developing and implementing machine learning algorithms to extract actionable insights from machine usage data, which led to a substantial improvement in the prediction of repair timelines.Responsibilities and Achievements:-Engineered and fine-tuned machine learning models to analyze complex machine usage patterns, achieving a 20% increase in the precision of predicting repair timelines, thereby reducing downtime and boosting operational efficiency.-Led the development of interactive Tableau visualizations that enabled stakeholders to easily understand key performance indicators and trends, accelerating data analysis procedures by 30% and promoting a data-driven culture.-Collaborated effectively with cross-functional teams, working closely with experts from various departments to gather and consolidate data, which facilitated a comprehensive analysis of machine performance and identified cost-saving opportunities worth $50,000.Professional Development:-Enhanced analytical skills and deepened understanding of machine learning techniques.-Gained practical experience in translating complex data into strategic business actions.Keywords: Machine Learning, Data Science, Predictive Modeling, Data Analysis, Algorithm Development, Feature Engineering, Data Visualization, Tableau, Python, Pandas, Scikit-learn, Regression Models, Time Series Analysis, KPI Visualization, Cross-Functional Collaboration, Operational Efficiency, Decision-Making, Cost-Saving Opportunities, Stakeholder Engagement, Interactive Dashboards.
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  • Rwx Technologies & Solutions Private Limited
    Data Science Intern
    Rwx Technologies & Solutions Private Limited Jun 2018 - Jul 2018
    Chennai, Tamil Nadu, India
    During my tenure as a Machine Learning and Data Science Intern at RWX Technologies, I had the opportunity to contribute significantly to the development and implementation of a cutting-edge machine learning model for image classification. My role encompassed a range of responsibilities that enabled me to enhance my skills and make a meaningful impact.Key Achievements:-Engineered a robust machine learning model for image classification, which achieved an impressive accuracy rate of 95% across a diverse dataset containing 10,000 food images. This achievement underscored the effectiveness of the model's architecture and algorithmic approach.-Implemented advanced data augmentation techniques, effectively expanding the training dataset by 300%. This strategic augmentation not only led to an evident improvement in the model's performance but also played a pivotal role in mitigating overfitting issues, resulting in a more generalizable solution.-Collaborated seamlessly within a cross-functional team of experienced data scientists, contributing to the collective effort to fine-tune hyperparameters and optimize the model architecture. Through rigorous experimentation and iterative refinement, our collaborative efforts yielded a remarkable 20% enhancement in classification accuracy when compared to baseline models.My experience at RWX Technologies allowed me to delve into the intricate world of machine learning and data science, combining theoretical knowledge with hands-on application. The opportunity to work on a real-world project with tangible outcomes provided invaluable insights into the multifaceted challenges of deploying machine learning solutions in a practical setting.Keywords: Machine Learning, Data Science, Image Classification, Model Development, Algorithmic Approach, Dataset, Food Images, Data Augmentation, Overfitting, Performance Improvement, Data Scientists, Hyperparameters, Model Architecture, Iterative Refinement, Classification Accuracy.
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  • Geeksforgeeks
    Technical Content Reviewer Intern
    Geeksforgeeks Dec 2017 - Jan 2018
    Noida Area, India
    As a Technical Content Reviewer Intern and a core member of the Technical Content Reviewer Team at Geeks for Geeks, a leading platform in computer science education, I was responsible for upholding the highest standards of quality, accuracy, and originality across published articles. My role involved meticulous reviews of both written content and technical code components, ensuring that they met the expectations of clarity, correctness, and educational value for our audience.Key Responsibilities and Achievements:1. Comprehensive Article Review: Reviewed articles for accuracy, completeness, and relevance to ensure they addressed meaningful problems in computer science. I evaluated each article’s correctness and clarity, confirming that it provided an effective solution and added unique value to the topic discussed.2. Plagiarism Detection and Originality Check: Performed in-depth assessments to detect and prevent plagiarism or content duplication, ensuring new articles offered original insights rather than being rephrased or minimally modified versions of existing content.3. Technical Code Validation and Testing: Verified the functionality and accuracy of code solutions within articles by creating correct, representative implementations aligned with the topic. I then used these implementations to automatically generate diverse test cases, covering edge cases and various scenarios, to ensure thorough validation of both the article and user-submitted code.4. Automated Test Case Generation: Developed an automated approach for generating comprehensive test inputs and expected outputs, enhancing efficiency by covering edge cases without relying on a continuous integration pipeline. This system allowed me to validate user code against these pre-generated test cases, saving time while maintaining rigorous quality standards.
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Vaibhav Gupta Education Details

Frequently Asked Questions about Vaibhav Gupta

What company does Vaibhav Gupta work for?

Vaibhav Gupta works for Nissan Motor Corporation

What is Vaibhav Gupta's role at the current company?

Vaibhav Gupta's current role is Student Data Scientist @ Nissan | Vanderbilt Innovation Fellow | Gen AI Engineer Intern @ Vanderbilt | Graduate CS Student @ Vanderbilt University | Former Data Eng @ TCS | Knows the Maths behind AI | Fine-tuning LLMs.

What schools did Vaibhav Gupta attend?

Vaibhav Gupta attended Vanderbilt University, Graphic Era University, Dehradun, Arwachin International School, Arwachin International School.

Who are Vaibhav Gupta's colleagues?

Vaibhav Gupta's colleagues are Paco Cortes, Luis Romario Sánchez Morales, Dieterich Isabel, Marco Antonio Salazar, Colton Mcneil, Estelle Sengler, Robyn Clarkson.

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