Data Engineer

Turing

1. Designed and built a high-performance server-side pipeline that merges real-time user behavior data with AI-driven recommendations, delivering personalized content dynamically.
2. Optimized data processing to handle large-scale datasets (millions of records) with low-latency response times(<100ms) using efficient Python scripting and parallel processing.
3. Integrated AI/ML models for real-time recommendation serving, improving user engagement rates by 25% through
4. personalized content delivery.
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6. Implemented secure data-handling mechanisms, including sanitization, validation, and encryption, ensuring 100%
7. compliance with privacy standards.
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9. Enhanced system efficiency by reducing processing overhead by 40%, enabling seamless AI integration wireal-time data pipelines.
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11. Structured and optimized Python-based server-side scripting, improving query execution speed by 30% through indexing
12. and efficient query structuring.
13. BLUBIRCH

Data Analyst

Blubirch

1. Created and labelled a high-quality training dataset of 4,000 images using Roboflow, enhancing machine-learning
2. model performance.
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4. Analyzed customer return patterns by examining large datasets related to product returns and customer behaviour,
5. providing insights that optimize returns processes, reduce costs, and improve profit margins for retailers and OEMs.
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7. Assisted in the development of predictive models using Python to forecast return rates and predict product grading
8. based on historical data, allowing better inventory planning and minimizing product obsolescence.
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10. Created interactive dashboards and reports using Power BI and Google Looker Studio to provide actionable insights
11. on key performance metrics, including revenue recovery rates, returns volume, and processing time, helping leadership
12. make informed decisions.
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14. Enhanced decision-making and data accuracy for business intelligence by analyzing and refining data from
15. returns, refurbished inventory, and resale channels, offering insights that drive intelligent disposition decisions and
16. optimize supply chain processes.
17. Performed data-driven analysis to identify trends in automated product testingand grading processes, recommending
18. improvements to enhance the accuracy and efficiency of grading algorithms used in RA-PaaS platforms.

PES University

Master of Computer Application

KIIT University

Bachelor of Computer Application