About Me
• Assisted in building and maintaining basic data pipelines
• Helped clean, transform, and organize raw data for analysis
• Wrote SQL queries and Python scripts for data processing
• Supported ETL tasks and data uploads …
• Assisted in building and maintaining basic data pipelines
• Helped clean, transform, and organize raw data for analysis
• Wrote SQL queries and Python scripts for data processing
• Supported ETL tasks and data uploads to databases or data warehouses
• Monitored data workflows and helped fix issues
• Collaborated with analysts to make data easier to access and use
• Worked with cloud tools (AWS, GCP, or Azure) under guidance
Experience
Data Engineer
<p>Assisted in building and maintaining basic data pipelines</p><p>• Helped clean, transform, and organize raw data for analysis</p><p>• Wrote SQL queries and Python scripts for data processing</p><p>• Supported ETL tasks and data uploads to databases or data warehouses</p><p>• Monitored data workflows and helped fix issues</p><p>• Collaborated with analysts to make data easier to access and use</p><p>• Worked with cloud tools (AWS, GCP, or Azure) under guidance</p>
Data Engineer
<p>Assisted in building and maintaining basic data pipelines<br>
Helped clean, transform, and organize raw data for analysis<br>
Wrote SQL queries and Python scripts for data processing<br>
Supported ETL tasks and data uploads to databases or data warehouses<br>
Monitored data workflows and helped fix issues<br>
Collaborated with analysts to make data easier to access and use<br>
Worked with cloud tools (AWS, GCP, or Azure) under guidance</p>
Data Analyst Intern
<p>• Collected, cleaned, and organized datasets for analysis.</p><p>• Analyzed data to identify trends, patterns, and insights</p><p>• Built reports and dashboards using tools such as Excel, SQL, or visualization software</p><p>• Supported data-driven decision-making across teams</p><p>• Collaborated with stakeholders to understand data needs and improve data quality</p>
Data Analyst intern
<p>Collected, cleaned, and organized datasets for analysis.<br>
Analyzed data to identify trends, patterns, and insights<br>
Built reports and dashboards using tools such as Excel, SQL, or visualization software<br>
Supported data-driven decision-making across teams<br>
Collaborated with stakeholders to understand data needs and improve data quality</p>
Social Media Manager
<p>Exploring, expanding, analyzing social media campaigns.</p><p>Making compelling contents</p><p>Plan, create, and schedule content across social media platforms</p><p>Manage daily posting, comments, messages, and audience engagement</p><p>Develop social media strategies to increase brand awareness and reach</p><p>Monitor social media trends and competitor activity</p><p>Analyze performance metrics and prepare basic reports</p><p>Collaborate with marketing and design teams on campaigns</p><p>Maintain a consistent brand voice and visual style</p><p>Respond to inquiries and manage online community interactions</p>
Social Media Manager
<p>Exploring, expanding, analyzing social media campaigns.<br>
Making compelling contents</p>
AI Robotics startup company
Teacher’s Assistant, Demonstrator
PROJECTS
Liminal Training: Characterizing and Mitigating Subliminal Learning in
<p>• Published in top conferences NeuroIPS and AAAI.</p><p>• Subliminal learning, the unintended transmission of behavioral traits like misalignment or preference through</p><p>semantically unrelated fine-tuning data, represents a critical and poorly understood phenomenon in Large</p><p>Language Models (LLMs).</p>