Jyoti Patel

Experience

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  Chegg Inc.

  Apr 2020 - Nov 2021

  Q&A Expert Advance Mathematics

  The Q&A Expert possesses in-depth knowledge and expertise in advanced mathematical principles, theories, and applications. Their role involves engaging with a diverse community of learners, researchers, and professionals seeking guidance and solutions to complex mathematical problems. By providing clear explanations, step-by-step approaches, and insightful insights, the expert facilitates understanding and fosters a deeper appreciation for advanced mathematics.

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  Xceedance Gurgaon

  Dec 2020 - Apr 2021

  Risk Analyst

  * Gained a deep understanding of different insurance coverages, know location and policy specific data pertaining to differentcoverages* Recognized and comprehended ground level data and associated policy coverages in allied software to carry out meaningfulreporting* Data Capture and Analysis of Data for different lines of business including Offshore Energy account, Offshore Construction policies,property, terrorism, marine, cargo, hull etc.* Used third party software for the capturing exposure information and produced aggregated report for all. Show less

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  Accenture

  Oct 2021 - Feb 2023

  Data Scientist

  • Part of ARTIFICIAL INTELLIGENCE LABS:Responsible for conceptualizing and implementing Graph Based Anomaly detection of Entities in dynamic Networks including structural,behavioral and temporal anomalies. Skills: Agile Methodologies · Python (Programming Language) · Time Series Analysis · AnomalyDetection · Graph Algorithms · Fraud Detection · Bitbucket• Part of Consumer/CPG Data Science team:- Market Mix Modeling and management consulting for leading FMCG clients (APAC) - Day to day work involved advance application ofregression methods in R/Python - End to end data exploration - Data pre-processing, EDA, feature engineering etc. of large noisy datasets - Adstock rate and ROI Optimization for the media campaigns and fair understanding of Marketing metrics - Python scripting for datavalidation, automation and extracting actionable insights - Hyperparamter tuning including application of various probabilitydistributions that aligns best with given media data - Aligning required statistical parameters during modeling as part of modelvalidation to make sense with business requirements - Alignment of required media/marketing analytical ratios for the final delivery tothe client - Applied researched on numerious Machine Learning techniques and respective model diagnostics during internal casestudies/hackathonsSkills used: Python, Excel, Statistics, Time Series forecasting, Machine Learning techniques, Linear Algebra Show less

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  Jawaharlal Nehru University

  Nov 2022 - Jan 2023

  JRF Fellow

  Understanding the evolutionary genome complexity of SARS-CoV-2, the virus responsible for the COVID-19 pandemic, is crucial for developing effective medical interventions. This short summary highlights the significance of studying the virus's genetic makeup and its implications for medicine. comprehending the evolutionary genome complexity of SARS-CoV-2 is vital for advancing medical interventions against COVID-19. By studying genetic variations, tracking emerging variants, and understanding the virus's origins, scientists can develop targeted treatments, refine vaccination strategies, and enhance surveillance measures. This research contributes to our collective efforts in combating the pandemic and preparing for future infectious disease challenges. Show less

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  Indian Statistical Institute, Kolkata

  Dec 2022 - Mar 2024

  I have conducted research on constraint judgment analysis within the context of smart city planning crowdsourcing. Utilizing the EM (Expectation-Maximization) algorithm, I focused on identifying and analyzing constraints associated with this process. Additionally, I identified the problem statement that necessitates resolution by leveraging existing opinions and introducing new constraints. By incorporating these opinions and considering new constraints, I aim to address the challenges associated with crowdsourcing in smart city planning. Show less The aim is to explore and develop innovative approaches that address the challenges of constraint satisfaction in decision-making processes.Crowdsourcing, specifically collecting opinions from multiple crowd workers, has proven to be effective in reaching prompt and robust decisions. However, traditional decision-making methods like majority voting, weighted voting, or probabilistic models are not directly applicable to constrained cases due to their inherent requirement for constraint satisfaction. Currently, there is a lack of probabilistic approaches in the literature that specifically target obtaining final solutions for constrained judgment analysis problems.The research aims to address the challenges of constrained judgment analysis in crowdsourcing by proposing an innovative approach based on biclustering and density-based clustering methods. By considering constraints, noise, and annotator biases, the research strives to enhance decision-making processes and provide more reliable and efficient solutions. It outlines a plan to tackle the challenges of constrained judgment analysis in the context of machine learning and AI. The proposed approach, leveraging biclustering-based techniques, histogram-based density estimation, and density-based clustering methods, seeks to advance the understanding and application of these methods in the domain of large-scale multi-opinion datasets. Show less

  • Pre Doctoral Fellow

    Jan 2023 - Mar 2024

  • Visiting Scientist

    Dec 2022 - Jan 2023
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  AIVOT AI

  Apr 2023 - Jun 2023

  Artificial Intelligence Project Coordinator

  Worked On Sentiment Analysis

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  Bharat Financial Inclusion Limited (100% subsidiary of IndusInd Bank Ltd.)

  Jan 2024 - now

  Data Scientist
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  Artificial Intelligence Institute of South Carolina

  May 2024 - now

  Research Intern