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Vetted Talent

Shantanu Sharma

Vetted Talent

I am a passionate programmer, dedicated learner, and experienced data scientist with a deep love for solving complex problems through data-driven approaches. My enthusiasm for exploring and implementing diverse algorithms has driven me to continually expand my expertise and tackle a variety of challenging, real-world issues.


Currently, I am working as a Senior Data Scientist, where I develop innovative and optimized solutions for the healthcare industry. My work involves leveraging deep learning, reinforcement learning, natural language processing (NLP), and large language models (LLMs) to create impactful and efficient outcomes.


Let's connect and explore how we can collaborate to drive data science initiatives forward!

  • Role

    Senior Data Scientist & AI engineer

  • Years of Experience

    7 years

Skillsets

  • Scikit-learn
  • LLMOps
  • MLOps
  • MySQL
  • programming languages
  • Spark
  • Streamlit
  • Python
  • SQL
  • NLP
  • PyTorch
  • TensorFlow
  • pandas
  • Deep Learning
  • Linux
  • Generative AI
  • Machine Learning
  • Python
  • SQL
  • NLP
  • PyTorch
  • TensorFlow
  • pandas
  • Deep Learning
  • Scikit-learn
  • Generative AI
  • Machine Learning
  • Reinforcement Learning
  • Java
  • Python
  • SQL
  • PyTorch
  • TensorFlow
  • NumPy
  • pandas
  • Keras
  • Matplotlib
  • Scikit-learn
  • Algorithms
  • Generative AI
  • NLTK
  • JavaScript
  • AWS
  • Data Engineering
  • Data Structures
  • Databricks
  • Deep Learning
  • Django
  • Feature Engineering
  • Flask
  • Git
  • HDFS
  • HTML/CSS
  • Jupyter Notebook

Vetted For

13Skills
  • Roles & Skills
  • Results
  • Details
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    Senior AI Engineer (Remote)AI Screening
  • 64%
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  • Skills assessed :AWS Lambda, Expo, graph database, GraphQL, Next Js, react (js+native), Serverless, LangChain, Prompt Engineering, Vector databases, Leadership, Postgre SQL, Type Script
  • Score: 58/90

Professional Summary

7Years
  • Sep, 2022 - Present2 yr 10 months

    Senior Data Scientist

    Tata 1mg
  • Aug, 2019 - Sep, 20223 yr 1 month

    Data Scientist

    3LOQ Labs
  • Sep, 2018 - Jul, 2019 10 months

    Product Engineer

    FeasOpt.AI
  • Sep, 2017 - Aug, 2018 11 months

    Software Engineer

    EduGorilla

Applications & Tools Known

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    Python

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    SQL

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    PyTorch

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    LangChain

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    AWS

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    Databricks

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    Spark

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    Azure

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    Hadoop

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    Scala

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    Docker

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    Linux

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    Django

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    Google Cloud Platform

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    PHP

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    MySQL

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    Git

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    Jupyter Notebook

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    Streamlit

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    HDFS

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    Amazon SageMaker

Work History

7Years

Senior Data Scientist

Tata 1mg
Sep, 2022 - Present2 yr 10 months
    Developed dynamic pricing systems, health assistants leveraging LLMs, and portfolio discounting engines; implemented fraud order detection models; optimized data pipelines and reduced execution times.

Data Scientist

3LOQ Labs
Aug, 2019 - Sep, 20223 yr 1 month
    Developed machine learning pipelines for banks to improve customer engagement; created models to predict customer behavior and increase average balances; optimized runtimes and led engineer teams.

Product Engineer

FeasOpt.AI
Sep, 2018 - Jul, 2019 10 months
    Built a logistics management web application; created delivery clustering models and scheduling algorithms; conducted experimental design and data preprocessing; trained interns in AI and optimization algorithms.

Software Engineer

EduGorilla
Sep, 2017 - Aug, 2018 11 months
    Developed a platform for processing Indian schools data; optimized algorithms for tagging and data mining; increased Google AdSense revenue through data analysis scripts.

Major Projects

4Projects

Billboard Hit Predictor

    Developed an interactive interface to predict the likelihood of a song becoming a Billboard hit using Spotify song data.

Movie Recommendation System

    Built a web app recommending movies based on similarity using NLP and content-based filtering; deployed it live and used by 40+ users.

Attritor Checker

    Used banking data to predict customer attrition; employed various machine learning models and achieved optimal performance using DNN frameworks.

Abstractive Text Summarizer

    Code implementation of a text summarizer using pre-trained and fine-tuned transformer models with a Rouge score of around 50.

Education

  • Bachelor of Technology in Computer Science

    SRM Institute of Science and Technology (2017)
  • Intermediate (Computer Science)

    Modern School (2013)