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Data Analyst with less than a year in SQL, Python & Power BI for data insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented graduate with hands-on experience in SQL querying, Python scripting, and data processing. Skilled in extracting and transforming data from relational databases, automating reporting tasks, and implementing data quality checks. Familiar with XML data formats, ETL pipelines, and reporting systems, with a strong interest in delivering accurate data insights to support business decision-making.
G. Pullaiah College of Engineering and Technology
B. Tech · Electronics and Communication Engineering
N/A – June 30, 2022
Facial Recognition-Based Attendance System (AWS Cloud)
June 21, 2026 – Present
Developed an automated, scalable attendance tracking solution using cloud-based facial recognition. Implemented Amazon Rekognition for face detection and liveness verification, integrated AWS Lambda for serverless automation, used Amazon S3 for secure image storage, and stored attendance logs in DynamoDB with IAM-based access control. Performed regression testing after updates and documented defects with clear reproduction steps to improve system reliability. Achieved real-time attendance marking (<1 sec per user) with 99% accuracy, reduced manual effort, prevented spoofing, and improved operational efficiency. Tools Used: AWS Rekognition, Lambda, S3, DynamoDB, Python
Profit & Sales Intelligence Systems
June 21, 2026 – Present
Developed interactive data systems to track multi-regional KPIs, utilizing Pivot Tables, Slicers, and Advanced Formulas to process complex sales datasets. Designed automated dashboards that provided real-time visibility into high-performing segments, directly supporting strategic business planning and data-driven decision making. Implemented data validation techniques to ensure Data Integrity and accuracy across monthly and quarterly financial reports.
Noise removal of ECG signal using Adaptive Techniques (Medical)
June 21, 2026 – Present
Developed and implemented an Adaptive Noise Cancellation (ANC) system for removing non-stationary signals from raw ECG signals. Compared the performance of LMS, NLMS, and RLS adaptive filtering algorithms, identifying RLS as optimal for faster convergence in time-varying noise scenarios. Achieved 77% efficiency in Noise reduction process. Tool Used: MATLAB/Simulink, C
AWS Certified Cloud Practitioner
Udemy
June 1, 2026 – Present
Workshop on Arduino with Scratch
APPSSDC
June 1, 2026 – Present
Workshop on Printed Circuit Board (PCB) design Fundamentals
APPSSDC
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse range of interests, from business intelligence to medical signal processing and cloud-based facial recognition. This breadth of exposure suggests an inquisitive mind and willingness to explore different domains. The AWS certification also indicates a proactive approach to skill development. However, without professional experience, it's challenging to fully assess cultural fit in a collaborative, fast-paced data team.
Soft Skills & Operational Fit
The candidate demonstrates analytical skills and adaptability to new technologies, which are crucial for a data analyst role. Project descriptions indicate an ability to work on complex problems and deliver data-driven insights. However, the lack of professional experience makes it difficult to assess operational fit in a team or corporate environment.