# Avantika Tiwari

> Data Scientist | Big Data Engineer | RAG, LLM & NLP | Built 10+ TB/day ETL Pipelines | GIS + ML Risk Modeling | Python, SQL, Airflow, GCP, Rust, Tableau

Location: United States, United States
Profile: https://flows.cv/avantikatiwari

I turn messy data into intelligent systems people actually use.

I’m a Data Scientist and ML/GenAI Engineer with a foundation in big data engineering, and I love building solutions where data, machine learning, and real-world impact intersect. My work sits at the space between scalable pipelines, applied ML, and GenAI—whether that means designing analytics systems, developing RAG applications, or building tools that help teams make faster, smarter decisions.

Before grad school, I spent 2+ years at Jio Platforms as a Big Data Engineer, where I built and scaled data pipelines processing 10+ TB/day and delivered analytics and BI solutions end to end. Now, while pursuing my MS in Data Science, Analytics and Engineering at ASU, I’m working on GIS-based gun-violence risk modeling and LLM/RAG systems using tools like LangChain, ChromaDB, and Hugging Face. I’ve also contributed to Rust-based telemetry for SolarSPELL’s offline digital libraries, built data products focused on customer growth, and developed ML models with 98%+ accuracy in earlier roles. Across telecom, research, social impact, and product-focused environments, I’ve consistently enjoyed translating complexity into reliable systems and actionable insights.

Right now, I’m looking for opportunities to build what’s next at the intersection of data, ML, and AI. I’m especially excited about full-time roles in Data Science, ML Engineering, AI Engineering, or Data Engineering where I can help create scalable, intelligent, and human-centered products starting in 2026.

## Work Experience
### Teaching Aide @ Arizona State University
Jan 2025 – Present | Tempe, Arizona, United States
1.Hosted weekly TA office hours for 250+ undergrads; unblocked students on Excel-based analytics and assignment questions.
2.Coached Excel for business analytics: data cleaning, PivotTables/Charts, LOOKUP/XLOOKUP, conditional logic, what-if/scenario analysis, and KPI dashboards.
3.Helped students translate results into business insights—clear assumptions, chart best practices, and concise storytelling.

### Research Aide @ Arizona State University
Jan 2025 – Present | Tempe, Arizona, United States
1.Modeled gun-violence risk with GIS + ML at tract/block level; integrated socioeconomic, demographic, environmental, and geographic-asset features; applied spatial cross-validation for robust estimates.
2.Engineered spatial features income, education, density, proximity to schools/parks/liquor outlets to inform targeted prevention and policy.
3.Built a GenAI/RAG assistant for ASU students using LangChain + ChromaDB (HuggingFace); evaluated retrieval added hallucination guards and prompt-safety checks; shipped Python APIs.
3.Delivered reproducible notebooks & docs, lightweight ETL, ran stakeholder demos, adhered to privacy/data-governance on workflows.

### MIX Center Camp Level Up Student Support @ Arizona State University
Jan 2025 – Jan 2025 | Tempe, Arizona, United States
1.Supported day-to-day operations for a summer game design camp for neurodivergent middle and high school students, in collaboration with Endless Studios and COPA Health

2.Assisted with check-in/check-out, student supervision, and classroom transitions to ensure a smooth and safe camp environment

3.Provided 1:1 support during instruction sessions to promote engagement and accessibility for participants on the autism spectrum

4.Co-led aftercare activities, helping to design and implement inclusive, interest-based sessions tailored to student needs

5.Collaborated closely with fellow student workers and camp coordinators to manage logistics, adapt to challenges, and ensure inclusive participation

6.Developed strong communication, adaptability, empathy, and teamwork skills through real-time interactions and diverse student needs

7.Contributed to a meaningful, community-centered program that intersected education, technology, and neurodiversity advocacy

### Employee Engagement Support Assistant @ ASU College of Health Solutions
Jan 2025 – Jan 2025 | Phoenix, Arizona, United States
1.Coordinated employee engagement programs (surveys, recognition, wellness, events) and streamlined comms to boost participation.
2.Ran pulse surveys and analyzed results; built quick insights in Excel to surface themes and next-step actions.
3.Partnered with HR/Leads to plan town halls, onboarding touchpoints, and culture initiatives; tracked follow-ups and timelines.

### Rust Software Developer @ ASU SolarSPELL Initiative
Jan 2025 – Jan 2025 | Tempe, Arizona, United States
1.Designed and implemented a backend feature to capture and store user interaction data by logging click events on SolarSPELL’s web platform.
2.Optimized database insertion performance by refactoring and parallelizing data handling logic in Rust, significantly improving data processing speed.
3.Collaborated with the development team to ensure accurate data tracking, scalability, and reliability for analytics and reporting purposes.
4.Worked within the SolarSPELL mission framework to support offline, solar-powered digital libraries that deliver educational content to underserved communities.

### Big Data Engineer @ Jio Platforms Limited (JPL)
Jan 2022 – Jan 2024 | Navi Mumbai, Maharashtra, India
1.Analyzed distribution patterns in the JioCoupons project, identifying key customer segments that increased coupon distribution by 20%, driving a 15% growth in revenue.

2.Developed Python and shell scripts to automate data loading from PubSub into GCS Buckets on Google Cloud Platform (GCP),reducing manual processing time by 30% and improving data ingestion efficiency.

3.Designed and implemented a data pipeline to ingest data into Hive tables on Cloudera Data Platform (CDP) using NiFi and Apache Airflow, improving ETL process efficiency by 50% and reducing data latency.

4.Implemented comprehensive data sanity checks and error handling strategies, ensuring 99.9% data accuracy and minimizing pipeline downtime through automated job reruns.

5.Formulated complex queries to extract data based on specific business criteria and executed optimized stored procedures,accelerating historical data loading by 40%.

### Data science and Business Analytics @ The Sparks Foundation
Jan 2020 – Jan 2021
Optimized data collection and analysis processes, achieving 98% predictive accuracy with machine learning models in Python (scikit-learn). Integrated data into BI tools for enhanced decision-making and trend analysis.

### Android Development Intern @ Vidyalankar Institute of Technology, Mumbai
Jan 2020 – Jan 2020 | Mumbai, Maharashtra, India
Developed an Android application that allowed professors to grade students or groups based on projects, featuring distinct interfaces for grading and progress tracking. Utilized Firebase for scalable data storage, improving usability and flexibility by enabling real-time updates and unlimited data capacity.

### Official Campus Ambassador Intern @ International MUN
Jan 2020 – Jan 2020


## Education
### Master's degree in Data Science Analytics and Engineering
Arizona State University

### Bachelor of Technology - BTech in Information Technology
Vidyalankar Institute of Technology, Mumbai


## Contact & Social
- LinkedIn: https://linkedin.com/in/avantika-tiwari-1bb6091a4
- GitHub: https://github.com/avantika-27

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Source: https://flows.cv/avantikatiwari
JSON Resume: https://flows.cv/avantikatiwari/resume.json
Last updated: 2026-04-18