Hruthik Kumar Rudravaram
AWS Certified | Data Analyst | Future-Focused on Data Engineering & AI | Turning Raw Data into Scalable Intelligence
- Role
- Data Analyst at Community Dreams Foundation
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Hruthik Kumar Rudravaram
From building AI-powered assistants at hackathons to architecting real-time fraud detection pipelines, I’ve found my passion at the intersection of analytics, cloud, and AI innovation.At the San Francisco AI Hackathon, I took on the challenge of reducing repetitive sales follow-ups. By designing an AI assistant that automated personalized emails, I cut manual outreach by 70%. Later, I built a real-time call analysis tool with Gemini 1.5 Pro, delivering instant feedback and streamlined CRM updates — boosting rep efficiency in the process.When nonprofits needed clean, accessible data, I stepped in as a Data Analyst @ Community Dreams (NGO). I engineered PyPDF2 pipelines for 80% parsing coverage, built a resume critiquing platform with Streamlit + OpenAI that delivered feedback in under 5 seconds, and turned raw datasets into insights that guided outreach programs.Today, I bring together my Master’s in Business Analytics & AI (UT Dallas), my AWS Certified Solutions Architect credential, and hands-on experience with ETL pipelines (Snowflake, Airflow, PySpark), ML models (fraud detection, churn prediction), and cloud workflows on AWS (S3, Redshift, EMR, Glue, Lambda). My approach blends technical rigor with product-aware creativity, so every solution I build is not just scalable — but impactful.I’m actively exploring opportunities as a Data Analyst, Data Engineer, or AI/ML Engineer, and I’m excited to contribute from day one. If your team is driving innovation at the crossroads of cloud, AI, and analytics, let’s connect — I’d love to bring my skills and energy to the table.
Experience
Data Analyst
Feb 2025 — Present · Dallas, TX, US
Gathered and translated business requirements into technical specifications, ensuring alignment between stakeholders and engineering deliverables.Leveraged SQL to develop, optimize, and maintain queries for large-scale datasets, improving data accuracy and performance.Applied Python (Pandas, NumPy) for data wrangling, cleaning, and statistical analysis to deliver actionable insights.Designed and executed ETL workflows for structured and semi-structured data, ensuring scalability and efficiency.Developed interactive dashboards and analytical reports using Amazon QuickSight and Looker, enabling data-driven decision making.Built and managed BigQuery datasets with partitioning and clustering strategies to optimize storage and query costs.Conducted ad-hoc data analysis and reporting in Excel, supporting quick business decisions.Utilized Jira for sprint planning, task tracking, and collaboration with cross-functional teams.
Education
The University of Texas at Dallas
Master of Science - MS
2023 — 2024
Mahatma Gandhi Institute of Technology
Bachelor of Technology - BTech
2018 — 2022
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