Senior Research Fellow atย Birla Institute of Technology and Science, Pilani,ย India
๐ฉโ๐ป 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 ๐
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 ๐ฌ
Arti Jha’s research focuses on several key areas in the realm of artificial intelligence and data science. She specializes in machine learning ๐ค, natural language processing ๐, statistics ๐, game theory ๐ฒ, and deep learning ๐ง . 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 ๐ผ
- 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 ๐
- 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 ๐
- Teaching Assistant, BITS Pilani, Pilani, India.
- C Programming (Feb 2022 – Dec 2023).
- Data Warehousing (Jan 2024 – Present).