Vijay Choudhary

CEO

Noida, Uttar Pradesh, India9 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and Natural Language Processing.
Proven track record in developing advanced AI solutions.
Strong leadership experience in data science teams.

Stackforce AI infers this person is a Data Science expert specializing in Machine Learning and NLP for SaaS applications.

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Skills

Core Skills

Data ScienceMachine LearningNatural Language ProcessingDeep Learning

Other Skills

Agentic AIPeople ManagementTeam LeadershipTransformersGenerative AIMLflowNeural NetworksMathematicsStatisticsPattern RecognitionHTMLCSSJavaScriptPHPjQuery

About

Passionate Data Scientist with a demonstrated history of working in the Machine Learning and NLP. Itching to work on some of most complex and challenging problems using the latest advances in machine learning, NLP and computer vision. Skilled in many Deep Learning Techniques like DNN, CNN, RNN, LSTM and strong hold on deep learning library TensorFlow. Engineering professional with educational pedigree focused in Mathematics and Computing from Indian Institute of Technology, Delhi.

Experience

9 yrs 8 mos

Total Experience

4 yrs 10 mos

Average Tenure

7 yrs 8 mos

Current Experience

Info edge india ltd

4 roles

VP Data Science

Promoted

May 2024 – Present · 2 yrs

Agentic AIPeople ManagementTeam LeadershipData ScienceMachine Learning

AVP Data Science

Promoted

Jun 2022 – Apr 2024 · 1 yr 10 mos

TransformersGenerative AIMachine LearningNatural Language Processing

Lead Data Scientist

Promoted

Jul 2021 – Jun 2022 · 11 mos

MLflowNeural NetworksMathematicsTransformersStatisticsPattern Recognition+2

Senior Data Scientist

Aug 2018 – Jul 2021 · 2 yrs 11 mos

Neural NetworksMathematicsStatisticsPattern RecognitionMachine LearningDeep Learning

Vmock

Data Scientist

Jul 2016 – Jul 2018 · 2 yrs

Built an AI-powered Multi-step Information Extraction Module from scratch to get structured data from a Job Description (JD).
Developed a sentence classification model using Convolutional Neural Network and achieved 92.5% F1-score
Implemented a Bi-directional LSTM with Conditional Random Field model to train Named Entity Recognition; extracted 40+ elements with accuracy more than 85% from JD
Designed an Attention Model on top of sentence encoding to classify JD into 161 classes and achieved 86.4% F1-score
Developed a Multi-platform (Mac OS/ Windows) software to remove the personal information from any resume(s)/ employment report by identifying personal information section in the document.
Built Front-End and Back-End for internal panels using Laravel framework.
Hands on experience with HTML, CSS, JavaScript, PHP, jQuery, Ajax.

Neural NetworksMathematicsStatisticsPattern RecognitionMachine LearningNatural Language Processing