Experience

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  Wittybrains software technologies pvt. ltd.

  Jan 2016 - May 2017

  Software engineer intern

  - Proposed and demonstrated an enhancement by migrating from SQL to NoSQL database model, leveraging knowledge gained from coursework on database and algorithm systems and user interaction, resulting in a 70% improvement in device performance

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  Opensense labs

  May 2018 - May 2019

  Data engineer

  - Translated complex and metadata sets into easily understandable insights through data visualization, dashboard creation, and reporting, ensuring 100% accessibility to diverse stakeholders

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  Hcl technologies

  May 2019 - Nov 2021

  Lead engineer

  - Developed and implemented an employee recommendation model, leveraging machine learning techniques, to enhance task assignment efficiency within the company- Spearheaded multifaceted analytic studies on large data sets, utilizing advanced machine learning and statistical techniques to derive actionable insights, driving business decisions- Developed and implemented web applications using HTML5, CSS3, React.js, Node.js, TypeScript, JSON, and REST web services.- As part of a collaborative effort with a team of 10 engineers, revamped the customer-facing user interfaces, resulting in a remarkable 60% improvement in usability and 100% compliance - Leveraged React.js to develop dynamic and responsive user interfaces, enhancing user experience and interaction, Employed HTML and CSS to design and style visually appealing and accessible web pages, ensuring optimal performance across various devices and browser- Implemented a microservices architecture utilizing Docker containers to ensure efficient encapsulation and portability of individual services- Orchestrated containerized services with Kubernetes for seamless scaling, fault tolerance, and automated management, integrated with Jenkins for continuous integration and deployment workflows, ensuring streamlined development processes- Led the management of CI pipelines encompassing GitHub and Jenkins, orchestrating complete automation from development to commit to deployment, ensuring seamless and efficient workflows.- Improved performance, maintainability, and operations of DHL's internal tools’ by engaging in occasional refactoring of the code base and upgrading their environments- Mentored developers – helping them improve their skills Show less

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  Cvs health

  Mar 2024 - Dec 2024

  Data scientist

  - Preprocessed and cleaned large-scale patient datasets using Python, Pandas, and PySpark, improving data quality by handling missing values, outliers, and inconsistencies.- Engineered predictive features such as medication adherence patterns and vital sign trends using NumPy and Scikit-learn, enhancing model accuracy by 15%.- Built scalable data pipelines using Apache Kafka and AWS Glue to collect and integrate patient safety data from EHRs, pharmacy systems, and wearable devices, ensuring seamless data flow for analytics.- Developed unsupervised learning models using K-means clustering and autoencoders to detect anomalies in patient data, enabling early identification of safety risks like abnormal medication usage.- Designed supervised machine learning models (e.g., XGBoost, Random Forests) to predict adverse drug reactions and hospital-acquired infections, achieving 90%+ accuracy on validation datasets.- Deployed machine learning models into production using AWS SageMaker and Docker, ensuring scalability and reliability for real-time patient safety monitoring. Show less

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  Archon software llc

  Dec 2024 - now

  Data scientist