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Kanteti Teja

Operations & Data Analytics Executive • Andhra Pradesh, India • t**************@gmail.com • +91*******121

Career Objective

Detail-oriented Operations and Data Analytics fresher with internship experience in data validation, reporting, documentation, and operational support. Proficient with Microsoft Excel, Power BI, SQL, Google Workspace, and collaboration tools such as Jira and Confluence. Experienced in collecting and validating datasets (including sensor and image data), preparing dashboards and operational reports, and supporting cross-functional teams to improve data quality and operational efficiency. Seeking an entry-level role where I can apply analytic and process-improvement skills to drive accurate reporting and scalable operations.

Education

Kalasalingam Academy of Research and Education
2022 – 2026
KBN Junior College, Vijayawada
(MPC) • 2020 – 2022
Oxford
2019 – 2020

Technical Skills

Databases: SQL
Data and Analytics: Data Validation,Data Cleaning,Data Analysis,Reporting,Dashboarding,Power BI,Microsoft Excel,Google Sheets
Tools and Methodologies: Jira,Confluence,AWS Cloud
Productivity & Collaboration: Microsoft Office,PowerPoint,Google Workspace,Google Drive,Email Communication
Project & Process: Documentation,Process Improvement,Operational Reporting,Quality Assurance,Stakeholder Communication

Projects

Operations Monitoring & Performance Analysis (Hand Gesture Detection with Fatigue Monitoring)
Tools Used: Image dataset collection, Data validation, Performance testing, Quality verification, Technical documentation
  • Collected, validated, and curated image datasets to monitor system performance and improve recognition accuracy for hand gesture detection and fatigue monitoring.
  • Performed testing and issue analysis to identify recognition failures and data quality gaps; executed quality verification steps to ensure reliable system functionality.
  • Documented workflows, implementation procedures, and testing results; recommended performance improvements to refine dataset quality and detection accuracy.
Operational Data Analysis & Reporting (IoT-Based Smart Energy Meter)
Tools Used: Sensor data collection, Real-time data validation, Operational data analysis, Dashboarding, Reporting
  • Collected and validated real-time sensor data from IoT smart energy meters to monitor operational performance and energy consumption.
  • Analyzed operational data to identify inconsistencies, trends, and anomalies; maintained technical documentation to support reporting and troubleshooting.
  • Prepared dashboards and reports to support monitoring, trend analysis, and operational decision-making for energy management use cases.

Certifications

Deloitte Data Analytics Job Simulation (Forage) — Forage / Deloitte • 2025
HP LIFE Data Science Analytics — HP LIFE • 2025
Microsoft Excel Certification — Microsoft
Generative AI Certification
Cloud Practitioner Essentials (AWS) — AWS

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