Danish Shaikh

AI Researcher

Bengaluru, Karnataka, India8 yrs 1 mo experience
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Key Highlights

  • 4+ years of experience in Data Science.
  • Expertise in Machine Learning and Natural Language Processing.
  • Proven track record in improving customer satisfaction scores.
Stackforce AI infers this person is a Data Scientist with expertise in E-commerce and AI-driven solutions.

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Skills

Core Skills

Machine LearningData Science

Other Skills

Azure DatabricksBERTComputer VisionData AnalysisDeep LearningGoogle Vision APIHiveQLKubernetesMLflowPySparkPython (Programming Language)XGBoost

About

๐Ÿ‘‰ 4+ years of experience in Data Science. ๐Ÿ‘‰ Skilled in Feature Engineering, Machine Learning, Natural Language Processing ๐Ÿ‘‰ Projects on Computer Vision, Active Learning, Graph Convolutional Networks ๐Ÿ‘‰ Masters in Artificial Intelligence at Indian Institute of Science (IISc), Bangalore. ๐Ÿ‘‰ Projects on Graph Convolutional Network for Active Learning ๐Ÿ‘‰ Interests are aligned with Chatbot, Incremental Learning, Active Learning ๐Ÿ‘‰ Frameworks: PyTorch, GCN, Databricks, HiveQL, Kubernetes, MLFlow, Kedro, BentoML

Experience

Walmart global tech

2 roles

Senior Data Scientist

Promoted

Jul 2025 โ€“ Present ยท 8 mos

Data Scientist

Jan 2023 โ€“ Jul 2025 ยท 2 yrs 6 mos

Udaan.com

Data Scientist

Jul 2021 โ€“ Jan 2023 ยท 1 yr 6 mos ยท Bangalore Urban, Karnataka, India

  • Chatbot
  • Trained and deployed transformer models to solve the free-text queries of the customers arriving at CS
  • Improved the predictions of the model by concatenating the sentence embedding with the users' embedding
  • Reduced the chats flowing to the agents by 300+ per day
  • Query Prediction Model
  • Worked to ensure a positive and hassle-free customer experience for all users
  • Managed to build custom QPMs more personalized to users with their embeddings to enhance their experience on CS
  • Increased the bot resolution from 24.49% to 30.34% and CSAT score from 56% to 77%
  • Image Deduplication
  • Initiated image deduplication project and built a custom statistical model with the pHash algorithm.
  • Improved the existing dedupe model with the Google Vision API model
  • Orchestrated pipelines to automate the archival process leading to 1500+ listings automatically archived every week
  • Improved the f-score of detecting duplicates with the new model by 32.45%
Machine LearningPySparkAzure DatabricksHiveQLXGBoostBERT+3

Amazon

Applied Scientist

Apr 2020 โ€“ Jul 2020 ยท 3 mos ยท Bengaluru, Karnataka

  • I was involved with Ad Moderation Team at Amazon, where we have to restraint ads based on book title, book description, image text, etc.
  • The project, titled "Abstention in Classification Task", involves selective classification of samples where the model abstains on those data points where it is not confident about.
  • The model helps to moderate the ads by improving the FPR and Recall curve.
Machine Learning

Indian institute of science (iisc)

Graduate Student

Aug 2019 โ€“ Jun 2021 ยท 1 yr 10 mos ยท Bengaluru Area, India

  • Developed a novel mechanism of actively picking samples to label for the task of Object Classification for my master's project titled "Data Relation Extraction using Graph Networks".

Qualcomm

Interim Engineering Intern

May 2019 โ€“ Jul 2019 ยท 2 mos ยท Hyderabad Area, India

Iit-bombay

Staff Project Engineer

Dec 2016 โ€“ Jul 2018 ยท 1 yr 7 mos

Education

Indian Institute of Science (IISc)

Master of Technology - MTech โ€” Artificial Intelligence

Jan 2019 โ€“ Jan 2021

Indian Institute of Science (IISc)

Master of Technology - MTech โ€” Communication and Networks

Jan 2018 โ€“ Jan 2019

Vishwakarma Institute Of Technology

Jan 2013 โ€“ Jan 2017

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