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Data Engineer with less than a year in AI/ML & Data Platforms
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Assessing your cultural and operational fit
AI-Assisted Analytics Engineer with experience building data pipelines, analytics workflows, and reporting systems using SQL, Python, Power BI, and modern data platforms. Skilled in leveraging AI tools including GitHub Copilot, Claude, NotebookLM, Streamlit, Zapier, and Notion AI to accelerate ETL development, automate reporting workflows, improve documentation, and enhance data-driven decision making. Experienced collaborating with engineering and product teams to deliver scalable analytics solutions in fast-paced environments.
University of New Haven
Master of Science · Information Science
January 1, 2024 – December 1, 2025
Jawaharlal Nehru Technological University
B.Tech · Electronics and Communication Engineering
August 1, 2016 – May 1, 2020
Qualitest (Client: Meta)
Graduate Data Engineer - AI Data Operations
February 1, 2026 – Present
Redmond, Washington, United States
University of New Haven (Sodexo)
Data & Operations Support
August 1, 2025 – December 1, 2025
West Haven, Connecticut, United States
P&F Solutions
Data Analyst Intern
May 1, 2025 – August 1, 2025
Newark, New Jersey, United States
Large-Scale Data Lake Analytics
June 1, 2026 – Present
• Processed and analyzed high-volume datasets within a simulated Hadoop environment. • Applied statistical models to extract patterns and predictive insights.
Advanced Visualization Framework
June 1, 2026 – Present
Designed narrative-driven dashboards highlighting trends, outliers, and performance metrics. • Enabled interactive exploration for stakeholder decision-making.
Exploratory Hypothesis Testing Pipeline
June 1, 2026 – Present
Built analytical workflows to test hypotheses using regression and forecasting models. • Delivered concise insights to inform strategy decisions.
Databricks Generative AI Fundamentals
Databricks
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
AWS Cloud Practitioner
AWS
June 1, 2026 – Present
Microsoft Azure Fundamentals (DP-900)
Microsoft
June 1, 2026 – Present
Microsoft Power BI (PL-300)
Microsoft
June 1, 2026 – Present
Apache Spark
Unknown
June 1, 2026 – Present
Data Cleaning in Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from large-scale data lake analytics to advanced visualization and hypothesis testing, indicates a broad interest in data-related challenges. Their current role as a 'Graduate Data Engineer - AI Data Operations' aligns well with the target role of 'Data Engineer', especially with the focus on AI/ML data pipelines. The breadth of skills across languages, data engineering, BI, cloud, and AI tools suggests a versatile individual who can adapt to various technical environments and contribute to diverse projects.
Soft Skills & Operational Fit
The candidate demonstrates collaboration skills through working with engineering teams and stakeholders. Their use of AI tools suggests a proactive and efficient approach to problem-solving and task automation. The experience in data operations support indicates attention to detail and a focus on data accuracy and compliance.