Aditi Jindal
Plainsboro
Summary
Results-driven Data Analyst with a proven track record at Open Source Technologies, leveraging Python and SQL to enhance predictive models and boost click-through rates by 20%. Skilled in data visualization and collaboration, I optimize data pipelines and deliver actionable insights that drive strategic business decisions.
Overview
3
3
years of professional experience
Work History
Data Analyst
Open Source Technologies
10.2025 - Current
- Collaborated with teams to collect requirements for data reporting and analysis.
- Analyzed data trends to inform project decisions and guide business strategies.
- Prepared detailed reports summarizing findings for stakeholders and management.
Research Assistant
ETHOS Lab, Drexel University
06.2024 - 08.2025
- Optimized mission-critical data pipeline, reducing processing time by 93% and lowering operational costs by $150K annually.
- Designed secure Retrieval-Augmented Generation system using in-house LLM, improving retrieval precision by 40%.
- Deployed scalable machine learning infrastructure on AWS EC2 with Flask, MongoDB, and JWT, tripling research team access to analytics.
- Implemented encryption and hash-based identifiers to ensure dataset confidentiality for over 500 participants.
Associate Data Analyst
Open Source Technologies
08.2022 - 08.2023
- Analyzed over 50,000 user transactions to identify behavioral trends for predictive customer conversion models.
- Developed segmentation models using Python and SQL to enhance personalized targeting while decreasing drop-off rates by 14%.
- Implemented conversion-driven ranking logic to prioritize high-value products, boosting click-through rates by 20%.
- Created business intelligence dashboards to visualize performance metrics, leading to a 9% increase in average order value.
Education
M.S. - Information Science
Drexel University
09-2025
B.Tech - Computer Science
Gurugram University
09-2022
Skills
- Python and C programming
- C and JavaScript development
- SQL database management
- Deep learning and NLP
- Large language models
- Retrieval-augmented generation systems
- Transformer architectures
- Optimization techniques
- Explainable AI methodologies
- AWS cloud services
- MongoDB and Databricks
- Containerization with Docker
- Version control with Git
- Data visualization with Power BI and Tableau
- Distributed systems architecture
- Data mining strategies
- A/B testing methodologies
- Pipeline optimization
Projects
Ashtra – AI Research-to-Podcast Generator, 03/01/24, Designed an LLM–powered summarization and TTS workflow informed by 75+ user interviews, improving accessibility of academic content. Built an end-to-end pipeline using GPT-based models and Deepgram, winning 1st place at Philly Codefest 2024. Toxic DM Detector, 01/01/22 - 08/31/22, Built an explainable NLP pipeline using TF-IDF, Naive Bayes, and Logistic Regression, achieving 80%+ accuracy. Increased user trust by 35% through interpretable model outputs and robust content safety mechanisms.
Publications Certifications
- ML-Based Approach to Transform Stimuli into Oscillatory Activity (RIACT), 2023
- Training a QA Model using Supervised Learning, 2023
- Data Science in Python Certification, University of Michigan, 2022
Leadership Experience
President, University Coding Club, Led 15+ members, organized coding challenges, and increased participation by 60% through structured mentorship and ML-focused workshops.
Timeline
Data Analyst
Open Source Technologies
10.2025 - Current
Research Assistant
ETHOS Lab, Drexel University
06.2024 - 08.2025
Associate Data Analyst
Open Source Technologies
08.2022 - 08.2023
M.S. - Information Science
Drexel University
B.Tech - Computer Science
Gurugram University