AI Data Analyst with less than a year in data analytics and a B.E. in Electronics & Communication En
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Electronics and Communication Engineering graduate with internship experience in AI Data Quality Analysis and data analytics. Skilled in SQL, Excel, Power BI, Python, data cleaning, data validation, dashboard creation, and reporting. Strong analytical and problem-solving abilities with experience in analyzing datasets and delivering actionable business insights.
R.R. Institute of Technology, Bengaluru
B.E. · Electronics & Communication Engineering
August 1, 2021 – June 30, 2025
Poorna Pragna PU College
PUC · Science
N/A – May 31, 2021
St. Ann's High School
SSLC
N/A – May 31, 2019
Rooman Technologies Pvt. Ltd.
AI Data Quality Analyst Intern
September 1, 2024 – January 1, 2025
Bengaluru, Karnataka, India
AI-Based CRM Data Quality Enhancement and Analytics System
June 1, 2026 – Present
Performed data cleaning, validation, and exploratory data analysis (EDA) on CRM datasets to improve data accuracy and consistency. Applied duplicate detection, missing value handling, and data preprocessing techniques to enhance dataset reliability. Created reports and dashboards to monitor data quality metrics and support data-driven business decisions.
RTOS - IMPLEMENTATION FOR AGRICULTURE FIELD MONITORING
June 1, 2026 – Present
Monitored soil moisture, temperature, humidity, and NPK using embedded sensors with an ESP32 microcontroller. Implemented wireless data communication (LoRa/Wi-Fi) for remote monitoring to support precision farming. Recognized by KSCST (48th Series Student Project Program) and awarded a research grant of 4,500 for innovation and practical impact.
Java Programming
MSME
June 1, 2026 – Present
Full Stack Development
J Spiders
June 1, 2026 – Present
Internship Certification
Varcons Technology Pvt Ltd
June 1, 2026 – Present
AI Data Quality Analyst Internship
Rooman Technologies Pvt. Ltd. (VTU Research Internship)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Electronics & Communication Engineering combined with an AI Data Analyst internship and projects demonstrates a diverse skill set and adaptability. The focus on practical, impact-driven projects (agriculture monitoring, CRM data quality) suggests a results-oriented mindset. The pursuit of certifications in various areas indicates a proactive approach to learning and skill development, which aligns well with a culture of continuous improvement.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving and analytical abilities. The recognition by KSCST for innovation suggests initiative and practical impact. The internship experience indicates an ability to work in a professional setting and contribute to data improvement processes.