Sparsh Gupta Email and Phone Number
Sparsh Gupta personal email
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As a firm believer in the quote: "You rise by lifting others," please feel free to reach out to me if I can guide/help you 🙂↕️Contact Me:X.Y@gmail.com (X=sparsh999 and Y=gupta) I'm a tech enthusiast with a engineering background, now specializing in data science and machine learning. Skilled in Scikit-learn, Keras, TensorFlow, PyTorch and more, I bring an interdisciplinary approach to tackle real-world challenges through innovative solutions.Academic Excellence: B.Tech from IIT Kanpur, Major: Mechanical Engineering and Minor: ML and ApplicationsProfessional Experience: Currently at Sprinklr Inc., India, I've developed robust ASR systems and conducted EDA on various client calls, enhancing efficiency through automation and troubleshooting. Previous experience includes internships at Siemens Bengaluru and Michigan State University, where I focused on explainability for anomaly detection and interpretable AI.Research Contributions: Published two impactful papers in reputable conferences, focusing on evaluating nonlinear decision trees and fault detection using AutoEncoders and interpretable AI.My Publications:AdConip Conference 2022, Vancouver, Canada: https://ieeexplore.ieee.org/document/9894262IEEE-SSCI Conference 2020, Canberra, Australia: https://ieeexplore.ieee.org/document/9308505Technical Proficiency: Proficient in Scikit-learn, Keras, TensorFlow, Numpy, Pandas, Matplotlib, NLTK, SQL, PyTorch, SciPy, and large language models (LLMs). Experienced in data visualization, analysis, and infrastructure management.Let's connect to explore opportunities for collaboration and mutual growth in the dynamic field of data science! Data Scientist | Machine Learning Engineer | AI Engineer | Research Scientist | Research Engineer
Microsoft
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- microsoft.com
- Employees:
- 189892
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Applied Scientist 2Microsoft May 2024 - PresentBengaluru, Karnataka, IndiaWorking with Large Language Models & Data pipelines in Turing Team
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Data ScientistSprinklr Jul 2022 - May 2024Gurugram, Haryana, India– Built ASR models for production for a Brazilian Retail company (Portuguese), a luxury fashion brand (Japanese), a UAE-based airline (French & English), the largest Swiss telecom company (English), & India’s largest private bank (Tamil)– Successfully constructed noise & telephonic filters for augmentation, & conducted EDA on various client calls– Strengthened the robustness of Wav2Vec2 & Whisper against noise & hallucination for improved accuracy and reliability– Spearheaded the automation of daily tasks within the team using scripts and tools to improve efficiency– Used k8s, Grafana & Ingress to monitor live services for the ML team, & troubleshot issues encountered in production -
Natural Language ProcessingProdigal May 2022 - Jul 2022Mumbai, Maharashtra, India -
Explainability For Anomaly DetectionSiemens May 2021 - Aug 2021Bengaluru, Karnataka, India– Paper accepted to AdConip'22 conference, Vancouver, Canada.– Implemented the Interpretability for Black Box models, used for Anomaly Detection Tasks in Industry– Developed a Custom Autoencoder as the Deep Learning model, for the Tasks with Keras and Tensorflow– Formulated & Presented a literature survey, for current Industry leveraged methods involving Explainabilty– Applied SHAP (SHapley Additive exPlanations) & Formalized CounterFactual examples for local explainability– Integrated a Dashboard for the end-users, with Data Analytics and Interpretability sub-sections -
Interpretable & Explainable Artificial IntelligenceMichigan State University May 2020 - Sep 2020Michigan, United States– Paper accepted to IEEE-SSCI'20 conference, Australia, Canberra.– Worked on various Algorithms in Interpretable AI where we strive to explain the Black Box nature of ML Model.– Learned & Implemented Genetic Algorithm (GA) which are based on Darwin's theory of Evolution in Species on Datasets like:- Breast Cancer Wisconsin Dataset, Truss Dataset & various Synthetic Datasets.– Collated various Algorithms like GAMs (Generative Additive Models), SHAP (SHapley Additive exPlanations) & NLDT (Non-Linear Decision Tree) which are notorious in Interpretable AI-field.– Analyzed the Pros and Cons of the GAMs & Genetic Algorithm which were applied on the Datasets. -
Machine Learning & Python, Teaching AssistantIsmriti Jun 2019 - Jul 2019– Ismriti Ltd. is an AI & IOT Start-up., based in IIT Kanpur.– Mentored & cleared doubts of participants in Python and basics of Machine Learning.– Provided assistance to prepare Assignments & Quizzes based on the Course Content.
Sparsh Gupta Skills
Sparsh Gupta Education Details
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Major: Mechanical Engineering | Minor: Machine Learning And Applications -
Sls Dav Public School - Delhi, IndiaMathematics, Physics, Chemistry, Biology And Social Sciences
Frequently Asked Questions about Sparsh Gupta
What company does Sparsh Gupta work for?
Sparsh Gupta works for Microsoft
What is Sparsh Gupta's role at the current company?
Sparsh Gupta's current role is Applied Scientist 2 @ Microsoft | IIT Kanpur | ex-Sprinklr | Generative AI | Large Language Models (LLMs) | Speech Recognition.
What is Sparsh Gupta's email address?
Sparsh Gupta's email address is sp****@****ail.com
What schools did Sparsh Gupta attend?
Sparsh Gupta attended Indian Institute Of Technology, Kanpur, Sls Dav Public School - Delhi, India.
What skills is Sparsh Gupta known for?
Sparsh Gupta has skills like Matlab, Artificial Intelligence, Management, Python, Keras, Tensorflow, Public Relations, Microsoft Word, Microsoft Powerpoint, Microsoft Excel, Data Analytics, Machine Learning.
Who are Sparsh Gupta's colleagues?
Sparsh Gupta's colleagues are Yi Bai, Safira Aprillia, د. خولة حمد الزيدي, Srini Dodda, Fabrizio Monaci, Deepa Deepa, Julia Kornich.
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Sparsh Gupta
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Sparsh Gupta
Undergrad @Iit Madras'28Bs (Data Science) | Generative Ai | Social Media | Evolves SignificantlyFirozabad -
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