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Post Graduate specialized in Business Analytics.
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 Data Analyst and PGDM Business Analytics graduate with hands-on experience in demand forecasting, inventory optimization, KPI tracking, and process quality management across retail and e-commerce domains. Proficient in Python (Pandas, NumPy), SQL, Advanced Excel, Power BI, and Tableau. Adept at transforming raw data into actionable insights that support revenue decisions and operational efficiency.
INTERNATIONAL SCHOOL OF MANAGEMENT EXCELLENCE
PGDM · Business Analytics
July 31, 2023 – September 26, 2025
Kallam Haranadhareddy Institute Of Technology
B.Tech · Electronics and Communication Engineering
June 11, 2017 – November 9, 2021
Amazon
Quality Analyst . Quality Analyst
April 17, 2022 – August 4, 2022
Chennai, Tamil Nadu, India
IoT-Based Health Monitoring System
April 1, 2021 – July 1, 2021
Designed and developed a real-time patient health monitoring system using IoT sensors integrated with Arduino IDE and Blynk IoT platform libraries to continuously capture and transmit vital data. Built a data pipeline to collect, process, and visualize sensor readings on a real-time dashboard, enabling threshold-based automated alerts for abnormal vitals. Applied basic data analysis and pattern recognition on collected health metrics to identify trends, demonstrating end-to-end data collection, processing, and reporting skills relevant to analytics roles. Tech stack: Arduino IDE, Python, sensor data processing, real-time data visualization, cloud data logging.
Business and Sustainable Development
NPTEL
September 1, 2024 – Present
Python for Data Science
IBM (Cognitive Class)
May 1, 2024 – Present
Advanced Excel Training
Internshala
July 1, 2021 – Present
The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' test, indicating a very strong grasp of the subject matter.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic background in Electronics and Communication Engineering combined with a PGDM in Business Analytics shows a diverse educational journey, suggesting adaptability and a broad perspective. The IoT project demonstrates initiative and practical application of skills. The experience at Amazon, a large, fast-paced organization, indicates an ability to thrive in structured environments and collaborate with cross-functional teams. The pursuit of continuous learning through certifications aligns with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's experience at Amazon as a Quality Analyst and Administrator suggests strong attention to detail, process orientation, and problem-solving skills. The ability to manage high-volume cases and analyze recurring issue patterns indicates good operational fit and a data-driven approach to improving efficiency. The project work also highlights an ability to work independently on technical implementations.