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Aniket MishraAM

Aniket Mishra

Data Analyst | AI/ML Engineer | Software Engineer

€130/day
Dublin, IE
3-7 years

Average response time: 1 hour

About Aniket

Data Science postgraduate (MSc, Trinity College Dublin - 1:1) with 3+ years of professional experience at Optum (UnitedHealth
Group), a Fortune 5 healthcare technology company. Built ETL pipelines and automated reporting workflows that contributed to
$7M+ in cost savings and served digital platforms with 1M+ monthly users. Maintained a 96% SLA compliance rate across 160+
tickets and collaborated with 52+ cross-functional teams. Skilled in SQL, Python, Power BI, Machine Learning, and Azure; with
hands-on experience building transformer models, reinforcement learning agents, and AI-powered automation pipelines. Known
for translating complex data into business decisions, leading high-pressure incident response, and bridging technical and nontechnical teams.
  • English

    Native or bilingual

  • Hindi

    Native or bilingual

Can work on-site
Dublin (up to 50km)

Experience

  • Optum (UnitedHealth Group)
    Software Engineer: Data & Digital Platforms
    HEALTH AND WELLNESS
    May 2022 - August 2025 (3 years and 3 months)
    Contributed to data engineering, analytics, and digital platform delivery within a globally distributed healthcare technology organisation serving millions of patients and providers.
    • • Built and optimised ETL pipelines and data warehousing processes to ingest, transform, and serve data at scale, directly improving reporting accuracy and operational efficiency across 10+ business units.
    • • Automated internal reporting tools and repetitive operational workflows using Python and SQL, reducing manual effort by ~30% and improving data accessibility for non-technical stakeholders.
    • • Designed and maintained 20+ reusable data components and templates, resolving 160+ support tickets in 6 months with a 96% SLA compliance rate.
    • • Implemented caching and performance strategies reducing page load times by 40% and doubling traffic capacity, contributing to $7M+ in cost savings and improved system reliability.
    • • Collaborated with 52+ cross-functional teams (engineers, analysts, UX) to translate data insights into decisions influencing digital initiatives serving 1M+ monthly users.
    • • Led 24/7 P1/P2 war room incident response, providing root cause analysis (RCA) and resolution under pressure; recognised with the Leadership Diamond Bravo Award.
    ETL artificial intelligence AEM SQL Linux
  • HighRadius
    Product Development Intern: AI & Automation
    August 2021 - May 2022 (9 months)
    • • Developed an AI model to predict invoice payment dates using feature engineering, data preprocessing, and model evaluation improving cash flow forecasting accuracy by an estimated 15–20% over rule-based baselines.
    • • Built and maintained Java and Selenium-based automation frameworks, streamlining repetitive workflows and reducing manual effort across the product team.
    • • Developed a full-stack Invoice Management System integrating front-end, back-end, and database components, used in production by the ARPA team.
    artificial intelligence Data analysis Machine learning Java Spring boot

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Education

  • Master in Computer Science - Data Science
    Trinity
    Modules: Machine Learning, Statistical Methods, Deep Learning, Data Engineering, NLP, Big Data Analytics.
  • Bachelors in Technology - Computer Science Engineering
    SRM Institute of Science & Technology
    2022
    CGPA: 9.51/10 (top 5% of cohort) | Published researcher: Real-Time Face Mask Detector (IJCA, 2022)

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