Avp - Data Science
Current
Jun 2024 - Present
AeroLeads people directory · profile
Gagandeep Singh Email & Phone Number
Applied AI | Data Science
at
Zykrr — The Experience Catalysts
LinkedIn matched
✓ Verified August 2026
3 data sources
Profile completeness 100%
Current company
Role
Applied AI | Data Science
Location
Gurgaon, Haryana, India
Company size
Who is Gagandeep Singh? Overview
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Quick answer
Gagandeep Singh is listed as Applied AI | Data Science at Zykrr — The Experience Catalysts, a with 11 employees, based in Gurgaon, Haryana, India. AeroLeads shows a matched LinkedIn profile for Gagandeep Singh.
Gagandeep Singh previously worked as AVP - Data Science at Zykrr — The Experience Catalysts and Senior Manager Data Science at Zykrr — The Experience Catalysts. Gagandeep Singh holds Nanodegree Program, Machine Learning Engineer With Microsoftazure from Udacity.
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Zykrr — The Experience Catalysts
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Profile bio
About Gagandeep Singh
Highly accomplished Data Scientist with 5+ years of experience in developing cutting-edge AI/ML solutions that drive customer experience excellence. Proven track record of creating innovative products leveraging state-of-the-art models like BERT, and optimizing them using ONNX for efficient deployment on Docker and Kubernetes. Skilled in Azure cloud, with expertise in Streamlit, Rasa, Vector Database, and LLM. Passionate open-source contributor, dedicated to advancing the field of AI/ML.Experience Highlights: - Developed and deployed text analytics, predictive analytics, and regression analytics products using BERT and other advanced models - Optimized models using ONNX for efficient inference and deployment on Docker and Kubernetes - Experienced in Azure cloud, with knowledge of Streamlit, Rasa, Vector Database, and LLM - Contributed to open-source projects, advancing the AI/ML community - Proven ability to drive customer experience innovation through data-driven insights and AI/ML solutionsSkills: - AI/ML: Machine Learning, Deep Learning, PyTorch, Transformer Architecture [BERT], Natural Language Processing - MLOps: Docker, Kubernetes, Docker Swarm, MLFlow - Cloud: Azure - Programming: Python, SQL - Database: PostgreSQL, Vector Database [Pinecode, Milvus, ChromaDB], Redis, MongoDB - Tools: Streamlit, Rasa, LangChain
Listed skills include Machine Learning, Natural Language Processing, Python, Opencv, and 22 others.
Current workplace
Gagandeep Singh's current company
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Zykrr — The Experience Catalysts
7 roles
Gagandeep Singh work experience
A career timeline built from the work history available for this profile.
Senior Manager Data Science
May 2023 - Jul 2024
Data Science Manager
• Developed and added bullet points summarization feature in Text Analytics using Sentence Transformers.• Developed a Social Media Deck POC for a client using Streamlit and Twitter Webhooks for real-time events.• Worked and guided team members in Cluster Analysis and CES for Text Data.• R&D with Pinecone, Milvus, and ChromaDB for new product features.• Worked on Speech Analytics - Labelled Speech Data - Trained Whisper Model - Added silence detection and speech overlap
Apr 2022 - Apr 2023
Senior Data Scientist
• Developed and deployed RASA Chatbot for a client.• Added Tone Detection (5 classes) into Text Analytics.• Converted and quantized existing Transformer Architecture Models to ONNX Format.• Moved all DS modules to Kubernetes and managed them.• Lead the development of a module - Regression Analytics which KeyDriver Analysis and KeyDriver Analysis Planner.
Apr 2020 - Apr 2022
Data Scientist
• Worked on the Predictive Analytics Module and deployed it using Docker.• Added AWS SNS in Text Analytics and Predictive Analytics.• Developed a custom algorithm to predict the sentiment of a keyword in a text.• Also worked a lot on R&D for various clients.• Migrated to Transformers Architecture Model for sentiment analysis.• Added Entity Recognition Model in Text Analytics and also made a lot of code optimizations.
Apr 2019 - Apr 2020
Software Engineer Intern
• Deployed a text analysis module on AWS EC2.• Analyzed large volumes of text data and extracted insights (Topics, Subtopics, and Sentiment)• Also added a Redis blocking queue to process the incoming stream data more efficiently.
Apr 2019 - May 2019
Machine Learning Engineer
• Preprocessed and visualized data to generate meaningful insights.• Worked on Prediction Model for Diabetes and achieved 89% accuracy on public dataset.• Achieved 2% more accuracy then previous models.
May 2018 - Jul 2018
Team & coworkers
Colleagues at Zykrr — The Experience Catalysts
Other employees you can reach at zykrr.com. View company contacts for 11 employees →
AB
Anubhav Bisht
Colleague at Zykrr — The Experience CatalystsGhaziabad, Uttar Pradesh, India
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CB
Chirag Bahri
Colleague at Zykrr — The Experience CatalystsNoida, Uttar Pradesh, India
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SA
Sagar Anand
Colleague at Zykrr — The Experience CatalystsGurugram, Haryana, India
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PD
Prince Dubey
Colleague at Zykrr — The Experience CatalystsEtawah, Uttar Pradesh, India
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SG
Shruti Gupta
Colleague at Zykrr — The Experience CatalystsDelhi, India
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RM
Ridhi Moza
Colleague at Zykrr — The Experience CatalystsDelhi, India
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AS
Aayush Sharma
Colleague at Zykrr — The Experience CatalystsDelhi, India
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SS
Subhanker Sarker
Colleague at Zykrr — The Experience CatalystsGurgaon, Haryana, India
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AJ
Alok Jha
Colleague at Zykrr — The Experience CatalystsNew York City Metropolitan Area, United States
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MS
Mayank Sinha
Colleague at Zykrr — The Experience CatalystsPatna, Bihar, India
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Anubhav Bisht
Colleague at Zykrr — The Experience CatalystsGhaziabad, Uttar Pradesh, India
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CB
Chirag Bahri
Colleague at Zykrr — The Experience CatalystsNoida, Uttar Pradesh, India
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SA
Sagar Anand
Colleague at Zykrr — The Experience CatalystsGurugram, Haryana, India
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PD
Prince Dubey
Colleague at Zykrr — The Experience CatalystsEtawah, Uttar Pradesh, India
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SG
Shruti Gupta
Colleague at Zykrr — The Experience CatalystsDelhi, India
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RM
Ridhi Moza
Colleague at Zykrr — The Experience CatalystsDelhi, India
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AS
Aayush Sharma
Colleague at Zykrr — The Experience CatalystsDelhi, India
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SS
Subhanker Sarker
Colleague at Zykrr — The Experience CatalystsGurgaon, Haryana, India
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AJ
Alok Jha
Colleague at Zykrr — The Experience CatalystsNew York City Metropolitan Area, United States
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MS
Mayank Sinha
Colleague at Zykrr — The Experience CatalystsPatna, Bihar, India
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6 education records
Gagandeep Singh education
Nanodegree Program, Machine Learning Engineer With Microsoftazure
Microsoft Scholarship Foundation Course
Secure And Private Ai Scholarship Challenge
Aws Deepracer Scholarship, Artificial Intelligence
Bachelor Of Technology, Cse
Science
FAQ
Frequently asked questions about Gagandeep Singh
Quick answers generated from the profile data available on this page.
What company does Gagandeep Singh work for?
Gagandeep Singh works for Zykrr — The Experience Catalysts.
What is Gagandeep Singh's role at Zykrr — The Experience Catalysts?
Gagandeep Singh is listed as Applied AI | Data Science at Zykrr — The Experience Catalysts.
Where is Gagandeep Singh based?
Gagandeep Singh is based in Gurgaon, Haryana, India while working with Zykrr — The Experience Catalysts.
What companies has Gagandeep Singh worked for?
Gagandeep Singh has worked for Zykrr — The Experience Catalysts, Zykrr- Experience Analytics And Management Platform [Top 20 Cx Solution Providers], Zykrr- Experience Analytics And Management Platform, and Nanotrics Innovations Pvt. Ltd..
Who are Gagandeep Singh's colleagues at Zykrr — The Experience Catalysts?
Gagandeep Singh's colleagues at Zykrr — The Experience Catalysts include Anubhav Bisht, Chirag Bahri, Sagar Anand, Prince Dubey, and Shruti Gupta.
How can I contact Gagandeep Singh?
You can use AeroLeads to view verified contact signals for Gagandeep Singh at Zykrr — The Experience Catalysts, including work email, phone, and LinkedIn data when available.
What schools did Gagandeep Singh attend?
Gagandeep Singh holds Nanodegree Program, Machine Learning Engineer With Microsoftazure from Udacity.
What skills is Gagandeep Singh known for?
Gagandeep Singh is listed with skills including Machine Learning, Natural Language Processing, Python, Opencv, Data Science, C, C++, and Data Analysis.
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