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Anish Vaidya
  • Working at The Climate Corporation
  • Studied at Texas A&M University
  • Living in United States
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Hi, I'm a Data Scientist working at The Climate Corporation working with Geo-Spatial Data. I have been involved in developing machine learning models and algorithms to translate insights into business opportunities.

  • Experience

    • Analyzed Geospatial agriculture planter pass data, harvester pass data, planter & harvester equipment data to study grower practices, using Python, data visualization tools.
    • Worked on complete life-cycle of the Outcome-Based-Pricing (OBP) model:
    Worked on defining protocol rules for 2020, develop algorithms, strategy to productionize algorithms, and approve Engineering model for deployment, and model improvements for 2021+.
    • Collaborated with Data teams, Product teams, and Engineering teams for the above.
    • Performed feature engineering, model selection, and hyperparameter optimization to predict crop yield using ML models like Nearest Neighbor Gaussian Process (NNGP) and Linear models.
    • Developed Supervised learning models to predict the best experimental areas.
    • Collected data from different sources like AWS S3, Hadoop File System (HDFS), Internal Production APIs, to build datasets for developing, testing and validating algorithms.
    • Created large samples of fields to scale OBP algorithms and pilot runs, with Spark SQL, using Stratified and Random sampling.
    • Created and optimized ETL PySpark pipelines to scale the OBP algorithm, on a large number of fields using AWS for testing and validation, for North American and South American fields.
    • Developed and scaled algorithms to improve the performance of OBP models for 2021+.
    • Wrote and Reviewed code according to best coding practices. Worked with git version-controlled-systems. Wrote reports on Confluence. Managed tasks with JIRA.
    • Coached and trained Jr. Data Scientist.
  • Projects

    • Analyzed stock price data with Technical analysis. Developed a derivatives trading algorithm using Python. Collected data using Robinhood API. Outperforms the S&P 500 by about 5%.
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Anish Vaidya created a new article
5 months ago - Translate

Car buyer's guide for a budget of $20,000 | #cars #toyota

Car buyer's guide for a budget of $20,000

Car buyer's guide for a budget of $20,000

I created a car buyer's guide based on various factors a buyer would consider before owning a vehicle. I have compiled a list of 8 cars listed at about $20,000 at dealerships. I have picked three categories: Cost to Own, Performance, and Convenience and Comfort; and scored the cars giving equal importance to all of the three categories.
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