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AI Engineer with 3+ years in Data Analysis & SQL Reporting
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Assessing your cultural and operational fit
Data Analyst and AI Engineer with 3+ years experience (2022-present) in data analysis, ML pipeline development, SQL-based reporting, and process automation. M.Tech in Robotics and AI (CGPA 9.41/10, First Class with Distinction) and production-level experience at HCL Technologies delivering data-driven decision systems. Strong SQL proficiency (joins, subqueries, CTEs, query optimisation), Python-based data analytics, statistical modelling, and dashboard development. Dubai-based on a transferable UAE Family Visa, available immediately.
NMIT, Bengaluru
M.Tech · Robotics and Artificial Intelligence
December 1, 2023 – August 1, 2025
SECAB Institute, Vijayapura
B.E. · Electronics and Communication Engineering
April 1, 2019 – June 1, 2023
HCL Technologies
Software Engineer - AI and Data Analytics
August 1, 2025 – January 1, 2026
India
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NMIT
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December 1, 2023 – August 1, 2025
India
Third Eye Technologies
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Aqmenz Automation Pvt Ltd
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July 1, 2022 – December 1, 2022
India
Manufacturing Cycle Time Analytics
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End-to-end data analytics system - extraction, cleaning, modelling, and dashboard reporting for manufacturing efficiency at HCL Technologies.
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December 1, 2023 – August 1, 2025
Automated data extraction from prescriptions (OCR+NLP), disease prediction analytics (92.7% accuracy), real-time dashboards for doctors, patients, and caregivers.
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Cultural Fit Analysis
The candidate's project diversity across healthcare, industrial IoT, and manufacturing, along with academic and professional experience, suggests adaptability and a broad interest in applying AI solutions. Their M.Tech research role involved designing and delivering multiple production-grade intelligent data systems, indicating a proactive and results-oriented approach. The experience at HCL Technologies and various internships shows a willingness to engage in different organizational settings and contribute to diverse projects.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical problem-solving skills and experience in data-driven decision-making, which are crucial for an AI Engineer role. Their experience in communicating findings to cross-functional teams indicates good stakeholder reporting and collaboration abilities. The automation of reporting processes using Python scripting also highlights an operational efficiency mindset.