Senior Research Fellow atΒ Birla Institute of Technology and Science, Pilani,Β India
π©βπ» Arti Jha is a Senior Research Fellow at BITS Pilani, specializing in machine learning, natural language processing, statistics, game theory, and deep learning. Currently pursuing a PhD in Web Intelligence and Social Computing, she focuses on AI-enabled design of optimal advertisement campaign strategies in collaboration with CommerceIQ, Bangalore. With industry experience at CommerceIQ, she develops predictive models for e-commerce platforms. Arti holds a BTech-MTech dual degree from the Centre for Converging Technologies, University of Rajasthan. Her research spans object detection, machine learning, and teaching roles as a TA at BITS Pilani.
Professional Profile:
Education π
PhD Candidate in Web Intelligence and Social Computing, BITS Pilani, Pilani, India, Feb 2022 – Present.
BTech-MTech Dual Degree, Centre for Converging Technologies, University of Rajasthan, Aug 2015 – Jul 2020. Cumulative GPA: 3.8/4.00.
Research Focus π¬
Arti Jha’s research focuses on several key areas in the realm of artificial intelligence and data science. She specializes in machine learning π€, natural language processing π, statistics π, game theory π², and deep learning π§ . Her work spans from optimizing e-commerce advertising campaigns using advanced machine learning techniques to developing reinforcement learning strategies for real-time bidding in digital marketing. With a strong foundation in both theoretical research and practical applications, Arti contributes actively to the fields of AI-enabled advertisement strategies, predictive modeling, and algorithmic optimizations aimed at enhancing business intelligence and decision-making processes in digital platforms.
Professional Experience πΌ
- Senior Research Fellow, BITS-CommerceIQ Collaboration Project, BITS Pilani, Pilani, India, Feb 2022 – Present.
- Designing optimal and targeted ad campaign strategies on e-commerce platforms.
- Developing prediction models for optimizing ad campaigns on Amazon.
- Working on interpretable and explainable AI models.
- Industry Experience at CommerceIQ, Bangalore, India.
Research Experience π
- Research Scholar, BITS Pilani, Pilani, India, Feb 2022 – Present.
- Building algorithmic campaign optimizers.
- Implementing multi-stage campaign classification and clustering models.
- Designing explainable models for risk-averse modeling.
- Project Trainee, Indian Space Research Organisation (ISRO), RRSC Jodhpur, India, Aug 2019 – Apr 2020.
- Thesis on Object Detection using Satellite Images.
- Data Analysis Intern, Robotics And Machine Analytics Lab (RAMAN), MNIT Jaipur, India, Mar 2019 – May 2019.
- Developed a Movie Recommendation System.
Academic Experience π
- Teaching Assistant, BITS Pilani, Pilani, India.
- C Programming (Feb 2022 – Dec 2023).
- Data Warehousing (Jan 2024 – Present).