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Data Engineer with 1+ years in Data Analysis & AI/NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Junior Data Engineer aspirant with experience in customer operations, robotics technical support, and AI engineering internship exposure. Hands-on experience in Python, SQL, Power BI, NLP, and data analysis. Currently building foundational knowledge in Apache Spark, Hadoop ecosystem, ETL concepts, and distributed data processing.
Chaitanya Bharathi Institute of Technology
B.Tech · Electronics and Communication Engineering
December 1, 2021 – June 1, 2025
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NR Technologies
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June 1, 2025 – April 1, 2026
Hyderābād, Telangana, India
RAG Document Chatbot
January 1, 2025 – December 31, 2025
Built a document Q&A chatbot using Retrieval-Augmented Generation concepts and semantic retrieval workflows.
Blinkit Sales Dashboard
January 1, 2025 – December 31, 2025
Developed an interactive Power BI dashboard for KPI tracking, sales analysis, and business reporting.
Document Similarity Analysis
January 1, 2025 – December 31, 2025
Built NLP-based similarity analysis workflows for document comparison and validation.
Databricks Fundamentals
Databricks
June 1, 2026 – Present
Google Cloud Generative AI
Google Cloud
June 1, 2026 – Present
Oracle Cloud Infrastructure Foundations
Oracle Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (AI chatbots, sales dashboards, document analysis) and certifications across different cloud platforms (Databricks, Oracle, Google) suggest a broad interest in technology and a proactive approach to learning. The customer support roles indicate an ability to work in team environments and interact with diverse stakeholders, which aligns with collaborative work cultures. The stated aspiration as a 'Junior Data Engineer' and active learning in core data engineering concepts (Spark, Hadoop, ETL) shows alignment with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate has extensive customer support experience, indicating strong communication, problem-solving, and collaboration skills. These are valuable for operational roles and cross-functional team interactions. The experience in monitoring dashboards and coordinating troubleshooting suggests an ability to handle operational issues and work under pressure.