About me

I'm Data Scientist and Machine Learning Engineer from India, working in demand forecasting and transformers. I enjoy turning complex problems into simple, beautiful and intuitive solutions.

My job is to build data related solutions so that it is functional and user-friendly but at the same time attractive. Moreover, I add personal touch to your product and make sure that is eye-catching and easy to use. My aim is to bring across your message and identity in the most creative way. I created web design for many famous brand companies.

What i'm doing

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    Generative Artificial Intelligence

    developing algorithms and models that autonomously generate new content like images, text, or music based on learned patterns and data, often using techniques such as neural networks and deep learning.

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    Forecasting

    leveraging data-driven models and algorithms to predict future trends and outcomes, essential for decision-making in various domains like finance, weather, and resource planning.

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    Natural Language Processing

    develop models and algorithms to analyze and understand human language, enabling applications like sentiment analysis, chatbots, and text summarization.

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    Computer Vision

    focusing on developing algorithms and models that enable machines to interpret and understand visual information from images or videos, used in applications such as object detection, image classification, and autonomous driving.

Testimonials

  • Daniel lewis

    Dr. Robin Singh Bhadoria

    I know Mr.Yash since his first day of the college as he is a quick learner and well motivated student. I also mentored him for his career choice and research work specially into Data Science and Algorithms using Python. I wish him good luck and a bright career.

  • Jessica miller

    Dr. Pooja Jain

    I know Mr.Yash since his first day of the college as he is a quick learner and well motivated student. I also mentored him for his career choice and research work specially into Data Science and Algorithms using Python. I wish him good luck and a bright career.

Companies

Education

  1. Indian Institute of Information Technology, Nagpur

    2017 — 2021

    Computer Science & Engineering | Artificial Intelligence

Experience

  1. ADIDAS | Data Scientist

    May 2023 - Current | Gurgaon, Haryana, India
    • Developed a neural sequence model transformer for in-season demand forecasting, gradient boosting model for pre-season demand forecasting and productionized them using AWS SageMaker.
    • Exploring advancements and methods to enhance forecasts aligned with specific business needs through experimentation.
    • Supported horizontal team building new product that estimates true consumer demand when products are partially or completely out-of-stock.
    • Created a Generative AI PoC that generates product descriptions using a fine-tuned large language model.
  2. TATA CONSULTANCY SERVICES | Data Scientist

    May 2021 - May 2023 | Pune, Maharashtra, India
    • Delivered 2 digital transformation projects geared towards high-stake business challenges in SAS Migration, Data Engineering & Machine Learning ensuring a smoother experience for clients & exceeding business targets. (TCS@Nielsen)
    • Successfully rebuilt the sales forecasting model facilitating market demand analysis, cross-sell, up-sell, and offer coupons by reducing the RMSE score beyond 10% compared to existing model.
  3. PAY 1 | Data Science Intern

    May 2020 - Nov 2020 | Mumbai, Maharashtra
    • Developed face recognition system for Aadhaar & Pan Card based on Convolution Neural Network attaining an accuracy of 92.02% reducing the cost from 3rd party API and human efforts.
    • Real-time data extraction from multiple sports websites to develop a fantasy cricket application.
  4. IIT BHU | Research Trainee

    May 2019 - Jul 2019
    • Work with a Team of 5 members comprising of professors, PhDs and interns. The topic of the research was Multivariate Time Series Classification on ECG Dataset for early prediction of heart disease without compromising accuracy.
    • Key Features were Pattern Recognition, Features Extraction and Features selection.
    • Key Learning includes:

      ➙ Sense of Responsibility over expensive Hardware and Software.
      ➙ Research environment and memory management.
      ➙ Work under deadlines & pressure, since it was 2 month long internship.

Certifications

  1. Applied A.I Courese

    Applied Roots (now Scaler)
  2. Mlops with AWS

    Manifold AI Learning

Skills

  1. DATA SCIENCE:

    • Machine Learning , Deep Learning , Transformers , Time-Series Data.
  2. Mlops with AWS

    • Jenkins , Amazon SageMaker , CI / CD.
  3. Languages

    • Python , SAS , C++ , Sql
  4. Familiar FrameWorks.

    • Numpy , Pandas , PySpark , Pytorch , Pytorch , Scikit-Learn , TensorFlow , Keras.

Portfolio

Blog

Contact

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