Manav Kaushik

Manav Kaushik Email and Phone Number

Manager | Business Consulting | EY Parthenon @ EY-Parthenon
boston, massachusetts, united states
Manav Kaushik's Location
Hyderabad, Telangana, India, India
Manav Kaushik's Contact Details

Manav Kaushik personal email

n/a
About Manav Kaushik

Transforming Supply Chain with AI: Unleashing Potential, Driving Profits at the Nexus of Technology and Business Strategy

Manav Kaushik's Current Company Details
EY-Parthenon

Ey-Parthenon

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Manager | Business Consulting | EY Parthenon
boston, massachusetts, united states
Employees:
4547
Manav Kaushik Work Experience Details
  • Ey-Parthenon
    Engagement Manager
    Ey-Parthenon Sep 2024 - Present
  • Ey-Parthenon
    Senior Business Consultant
    Ey-Parthenon Mar 2023 - Aug 2024
    India
  • Micron Technology
    Data Scientist
    Micron Technology Jul 2021 - Mar 2023
    Hyderabad, Telangana, India
  • Nanyang Technological University
    Research Assistant, Deep Learning & Nlp
    Nanyang Technological University Jun 2020 - Jun 2021
    - Worked on Speaker Characteristics Estimation (such as height, age, accent, etc.) using speech analysis to aid professional forensics & human-computer interaction.- Prepared Attention/ Transformer-based deep learning algorithms for weighing different phonemes to enhance estimation performance and understand the predictive power of individual phonemes.- Worked to extract and train embeddings using Triplet & Center Loss to further the discriminative capabilities of the proposed algorithms. - Used self-supervised learning algorithms such as Wav2Vec2 for better feature extractions.
  • Csir-Ceeri
    Research Fellow, Computer Vision
    Csir-Ceeri Jan 2020 - Jun 2020
    Pilani, Rajasthan, India
    Developed a Deep Learning models (using Convolutional Neural Network & Transfer Learning) to detect signs of drowsiness in car drivers. 'Drivers Drowsiness Detection Dataset' (by NTHU Computer Vision Lab) was used and fed to the model after augmentation & pre-processing. The fnal fne-tuned model (with VGG16 weights pre-trained on ImageNet Dataset), achieved a highly competitive accuracy of over 72%.
  • American Express
    Data Science Intern
    American Express May 2019 - Jul 2019
    Bengaluru Area, India
    - Interned with the Big Data & Advanced Analytics Division of American Express.- Developed an Automated Machine Learning framework (named One AI) for automated data extraction, dynamic visualizations, ML modelling, and ready to use prediction pipeline using Python & HiveQL.- 'One AI' incorporates over 25 most popular ML & statistical algorithms such as Logistic Regression, Gradient Boosting, Random Forest, XGBoost, ANNs, and many more.- Successfully tested 'One AI' on one of Amex's use cases enhancing the error detection rate from 1% to 30% translating into the reduction of man hours from over 2000 to less than 70 hours per month.
  • Indian Institute Of Technology, Delhi
    Research Intern
    Indian Institute Of Technology, Delhi Dec 2018 - Jan 2019
    Delhi Area, India
    Developed an Early Warning System for Financial Crisis in emerging economies using different techniques of predictive modeling: Multinomial Logit Modeling & Contemporary Machine Learning Algorithms. The model combines both Macroeconomic as well as Stock Market Variables to achieve higher accuracy. Historical data for several emerging economies, collected fromThomson Reuters & Bloomberg, are used in the model. The model can successfully predict Financial Crisis for 10 major Emerging Economies of the world 2 quarters beforehand with an accuracy of over 90%.
  • Adani Power
    Data Science Intern
    Adani Power May 2018 - Jul 2018
    Ahmedabad, Gujarat, India
    Implemented a Deep Learning-based model for Short-Term Electricity Load Forecastingaddressing the challenge of improving the accuracy in electricity distribution utilityin presence of volatility and mobile loads. The developed model demonstrated an accuracy over 96%, a considerable improvement of more than 5% against current levels. The project involved collecting real world data from the web (consisting of over 100K data points) & leveraged the concepts of Data Science: Machine Learning (Artificial Neural Networks), Programming, Data Handling & Visualization.

Manav Kaushik Education Details

Frequently Asked Questions about Manav Kaushik

What company does Manav Kaushik work for?

Manav Kaushik works for Ey-Parthenon

What is Manav Kaushik's role at the current company?

Manav Kaushik's current role is Manager | Business Consulting | EY Parthenon.

What is Manav Kaushik's email address?

Manav Kaushik's email address is mk****@****ron.com

What schools did Manav Kaushik attend?

Manav Kaushik attended Birla Institute Of Technology And Science, Pilani.

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