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Data Analyst with less than a year in data management and analytical problem-solving
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with experience working on database-driven applications and data management systems. Proficient in SQL, MySQL, Microsoft Excel, data validation, reporting, and analytical problem-solving. Skilled at collecting, organizing, and analyzing data to identify trends and support business decision-making.
St. Vincent Pallotti College of Engineering and Technology
Bachelor of Engineering · Electronics & Telecommunication
N/A – June 30, 2024
ThunderCube Private Limited
Trainee Developer / Full Stack Developer
April 1, 2024 – October 1, 2024
Pune, Maharashtra, India
AgriTrack - Agricultural Resource Management System
June 24, 2026 – Present
Developed a database-driven system to monitor crop information, field conditions, and resource utilization using MySQL and SQL.
LifeLine - Blood Donation Management System
June 24, 2026 – Present
Built a centralized database solution for managing donor records, blood inventory, and donation events with reporting support.
BLE-Based Mesh Network and Logger
June 24, 2026 – Present
Designed a data logging system for collecting and storing IoT device information and analyzing communication performance.
Full Stack Java Course
The Kiran Academy
June 1, 2026 – Present
Best Project Award (2023)
BLE-Based Mesh Network and Logger
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in agricultural management, healthcare (blood donation), and IoT data logging, indicating adaptability and a broad problem-solving mindset. The 'Best Project Award' suggests a drive for excellence. The target role of Data Analyst aligns well with the candidate's stated skills and experience in data management, SQL, and reporting, indicating a good cultural fit for data-centric organizations.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, process improvement, and communication skills, which are beneficial for a data analyst role. Collaboration with teams to identify data inconsistencies also indicates good operational fit. However, the short professional experience duration limits the depth of assessment for these skills in a real-world, sustained environment.