Vashista Thakuri

Vashista Thakuri

Data Research Analyst

location of Vashista ThakuriHyderabad, Telangana, India

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  • Timeline

  • About me

    AI/ML Engineer

  • Education

    • St. Joseph's School, North Point, Darjeeling

      2005 - 2012
    • North Bengal St. Xavier's College (NBSXC)

      2015 - 2019
      Bachelor of Computer Science Computer Science First Class
    • Delhi Public School, Siliguri

      2013 - 2015
      Mathematics and Computer Science
  • Experience

    • WWF-India

      Jan 2020 - Jun 2020
      Data Research Analyst

      • Worked efficiently with a diverse team of 8 members to help raise funds over ₹5.5+ Lakh.• Performed research, analysis, visualization and drafted reports.• Aided in important decision making based on the reports.

    • HurtleCloud

      Aug 2020 - Feb 2021
      Data Analyst

      • Lead a team of 5 talented members and managed over 20+ Digital Marketing projects.• Provided market research, forecasts, campaign results, and consumer trends.• Oversaw social media campaign launches resulting in collective revenue of ₹2.8+ Lakh in the first 3 months.

    • Bernadine Distilleries and Breweries

      May 2021 - Dec 2022
      BI Analyst

      • Designed and implemented data pipeline to process semi structured data by integrating raw records from 30+ data sources.• Ensured 100% data was processed and transferred on time.• Aided in statistical decision making and helped generate ₹20+ Lakh in revenue sales in 2021.

    • Cotiviti

      Jan 2023 - now
      Associate Engineer

      Artificial Intelligence and Machine Learning R&D• Collaborate with domain experts across various Lines of Business (LOB) to understand business requirements and build relevant features for machine learning models.• Research and explore data sources, tools, and techniques to extract meaningful features that capture underlying patterns and relationships in the data.• Develop and implement feature extraction, transformation, and selection techniques to preprocess raw data and prepare it for machine learning algorithms.• Engineer systems to enhance model performance by utilizing signal processing techniques, domain-specific knowledge, and statistical methods.• Utilize data visualization tools to analyse model insights, identify correlations, and understand data input/output characteristics.• Optimize pipelines to ensure scalability, efficiency, and reproducibility of model training processes.• Collaborate with cross team SDEs to streamline and integrate training and scoring pipelines into production systems and deploy machine learning models at scale.• Stay up-to-date with the latest advancements in data science and generative AI techniques. Show less

  • Licenses & Certifications