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I am a results-driven Computer Science graduate who bridges the gap between raw data and strategic business decisions. I specialize in data analysis, machine learning, and process automation, using Python, SQL, and Advanced Excel to unlock insights and drive efficiency. My experience includes transforming complex datasets—from 100,000+ patient records to satellite imagery—into clear, actionable intelligence that guides investment and optimizes performance. I thrive on managing projects end-to-end, building predictive models with TensorFlow and Keras, and communicating findings to both technical and non-technical stakeholders.…I am a results-driven Computer Science graduate who bridges the gap between raw data and strategic business decisions. I specialize in data analysis, machine learning, and process automation, using Python, SQL, and Advanced Excel to unlock insights and drive efficiency. My experience includes transforming complex datasets—from 100,000+ patient records to satellite imagery—into clear, actionable intelligence that guides investment and optimizes performance. I thrive on managing projects end-to-end, building predictive models with TensorFlow and Keras, and communicating findings to both technical and non-technical stakeholders.

Shashank Sai Meruga

Data Scientist, Data Analyst, Full Stack Developer, +2

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I am a results-driven Computer Science graduate who bridges the gap between raw data and strategic business decisions. I specialize in data analysis, machine learning, and process automation, using Python, SQL, and Advanced Excel to unlock insights and drive efficiency. My experience includes transforming complex datasets—from 100,000+ patient records to satellite imagery—into clear, actionable intelligence that guides investment and optimizes performance. I thrive on managing projects end-to-end, building predictive models with TensorFlow and Keras, and communicating findings to both technical and non-technical stakeholders.…I am a results-driven Computer Science graduate who bridges the gap between raw data and strategic business decisions. I specialize in data analysis, machine learning, and process automation, using Python, SQL, and Advanced Excel to unlock insights and drive efficiency. My experience includes transforming complex datasets—from 100,000+ patient records to satellite imagery—into clear, actionable intelligence that guides investment and optimizes performance. I thrive on managing projects end-to-end, building predictive models with TensorFlow and Keras, and communicating findings to both technical and non-technical stakeholders.

Available to hire

I am a results-driven Computer Science graduate who bridges the gap between raw data and strategic business decisions. I specialize in data analysis, machine learning, and process automation, using Python, SQL, and Advanced Excel to unlock insights and drive efficiency.

My experience includes transforming complex datasets—from 100,000+ patient records to satellite imagery—into clear, actionable intelligence that guides investment and optimizes performance. I thrive on managing projects end-to-end, building predictive models with TensorFlow and Keras, and communicating findings to both technical and non-technical stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

Expert

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Expert

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Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Junior Data Analyst at Inforaise Technologies Pvt. Ltd.

November 1, 2023 - September 8, 2025

Analyzed 100,000+ patient records from hospital management software to identify trends in demographics, complaints, and seasonal variations, informing profitable service line strategies and resource allocation. Automated recurring revenue and diagnostic reporting pipelines using Python and Microsoft Excel, reducing manual workloads by 30% and enabling faster, data-backed decision-making for hospital executives. Correlated diagnostic test utilization with revenue contribution, guiding investment decisions and improving profitability forecasting accuracy by 20%. Collaborated with clinicians and operations teams to optimize service offerings, increasing adoption of profitable diagnostics and aligning preventive screenings with revenue growth opportunities. Built predictive models using TensorFlow and Keras to forecast demand for diagnostics and treatments, improving early detection accuracy by 15% and supporting proactive care programs that generated recurring revenue streams.

AI/ML Intern at National Remote Sensing Center (NRSC), ISRO

June 1, 2022 - September 8, 2025

Conducted land type classification (vegetation, water bodies, settlements, barren land) using satellite images to support advanced remote sensing research. Applied Convolutional Neural Networks (CNNs) to enhance classification accuracy by leveraging patterns in NIR, Red, and Green spectral bands. Developed Python scripts using TensorFlow and Keras to process and analyze extensive satellite datasets, resulting in a high-performing CNN model. Achieved over 90% classification accuracy across multiple land types and improved through iterative model tuning and data preprocessing.