DIVYA AGGARWAL — Data Analyst
Interested in Machine Learning | Deep Learning | Data Science | Probability & Statistics | Econometrics | Economics I am a passionate data scientist with expertise in machine learning, deep learning, and statistical modeling. My work focuses on applying advanced algorithms to solve complex problems and drive actionable insights. My research paper, "A Stacking Ensemble Technique to Predict Speed and Distance in 4G and 5G Communication Datasets," has been accepted at the 2024 IEEE International Symposium on Smart Electronic Systems (iSES) (Feb 2025). In this work, I developed a stacking ensemble model using decision trees and random forests on large-scale datasets by enhancing data preprocessing and feature engineering. I gained valuable industry experience as a Founder's Office Intern at TaxNodes, where I contributed to a 4x increase in revenue by improving customer experience and streamlining CSV uploads. I developed backend code for file parsing and portfolio reconciliation, reducing manual effort and enhancing data accuracy. As a Data Science Intern, I worked on sentiment analysis for 1M+ user data points, achieving 91% accuracy using KNN and SVM. During my SPARK Research Internship at IIT Roorkee, I designed a dynamic pricing model using Thompson Sampling with inventory constraints and a mixed pricing strategy to balance exploration and exploitation. My work involved updating the posterior using a linear program and adding a monotonicity factor to optimize pricing efficiency. My research includes a project on Confidence Interval Analysis, where I identified cases of uncertainty regarding mean inclusion in variance intervals and proved the results for Gaussian distribution. My core skills include Machine Learning, Deep Learning, NLP, Reinforcement Learning, Statistical Modeling, Python, Optimization, Econometrics, Time Series, and Panel Data.
Stackforce AI infers this person is a Data Science professional with expertise in Machine Learning and Statistical Modeling.
Location: Rewari, Haryana, India
Experience: 2 yrs 3 mos
Skills
- Machine Learning
- Data Science
- Statistical Modeling
Career Highlights
- Developed a stacking ensemble model for communication datasets.
- Achieved 91% accuracy in sentiment analysis on 1M+ data points.
- Designed a dynamic pricing model using Thompson Sampling.
Work Experience
Full-time
Placement and Internship Cell, IIT Roorkee
American Express
Data Analyst Intern (2 mos)
TaxNodes
Founder's Office Intern (2 mos)
Nexus info
Data Science Intern (1 mo)
Unnat Bharat Abhiyan, IIT Roorkee
Village Coordinator (1 yr)
Executive Member (1 yr 2 mos)
SPARK ( Summer Internship at IIT Roorkee ), IITR
Research Intern (2 mos)
Skillvoid Technologies
Data Science Intern (1 mo)
Enactus, IIT Roorkee
Executive Member (1 yr)
Women of IIT Network (WIN)
Volunteer (1 yr)
Education
Bachelor of Science - BS at Indian Institute of Technology, Roorkee