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Data with less than a year in SQL, Python & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-oriented B.Tech graduate with expertise in SQL, Python, Microsoft Excel, and database management and experienced in handling structured data, generating reports, and performing data analysis through academic projects. Possess strong analytical thinking, attention to detail, and problem-solving abilities. Seeking a Data Analyst opportunity to apply technical and business analysis skills in transforming data into actionable insights and supporting organisational growth.
Malla Reddy Engineering College for Women
Bachelor of Technology · Electronics and Communication Engineering
January 1, 2021 – December 31, 2025
VLSI
Intern
January 1, 2024 – June 30, 2024
India
Automated hydrological system for irrigation
January 1, 2026 – June 1, 2026
Developed an IoT-based irrigation system using Arduino and soil moisture sensors. Improved water utilisation through automated monitoring and control.
IOT-based Remote Surveillance for obstacles near railway tracks
January 1, 2026 – June 1, 2026
Designed a system using ESP32 and ultrasonic sensors for obstacle detection. Enabled real-time monitoring and alerts to improve railway safety
Cisco Certification
Cisco
June 1, 2026 – Present
Oracle Certification
Oracle
June 1, 2026 – Present
Cambridge English C1 Advanced
Cambridge English
June 1, 2026 – Present
Pearson English C2 Level
Pearson
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show initiative and a problem-solving mindset. The certifications (Cisco, Oracle, English language) indicate a commitment to continuous learning and self-improvement. The stated interest in a Data Analyst role aligns with the target role. However, the projects are primarily in embedded systems/IoT, not directly in data analysis or data engineering, which suggests a potential pivot. The breadth of skills is somewhat diverse, but not deeply specialized in data.
Soft Skills & Operational Fit
The candidate lists strong analytical thinking, attention to detail, problem-solving, and team collaboration as soft skills. These are crucial for data roles. The academic projects demonstrate an ability to execute and document technical work. However, the lack of professional experience in a data-specific role means operational fit for a senior data role is currently limited.