Kartik Jindgar
Data Science Bootcamp Instructor at NYU Tandon Career Hub- Claim this Profile
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English Professional working proficiency
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Hindi Native or bilingual proficiency
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Bio
Sailaja Karri
Kartik has worked with my team for about a year. He has lot of interest in learning new technologies. Though he was a fresher he picked up well on DevOps tools that we were working. He also did a stretch assignment on Machine Learning which was well appreciated by the stakeholders. He was pretty active member in the team contributing to various off work initiatives also. I wish him good luck in his future endeavors.
Sailaja Karri
Kartik has worked with my team for about a year. He has lot of interest in learning new technologies. Though he was a fresher he picked up well on DevOps tools that we were working. He also did a stretch assignment on Machine Learning which was well appreciated by the stakeholders. He was pretty active member in the team contributing to various off work initiatives also. I wish him good luck in his future endeavors.
Sailaja Karri
Kartik has worked with my team for about a year. He has lot of interest in learning new technologies. Though he was a fresher he picked up well on DevOps tools that we were working. He also did a stretch assignment on Machine Learning which was well appreciated by the stakeholders. He was pretty active member in the team contributing to various off work initiatives also. I wish him good luck in his future endeavors.
Sailaja Karri
Kartik has worked with my team for about a year. He has lot of interest in learning new technologies. Though he was a fresher he picked up well on DevOps tools that we were working. He also did a stretch assignment on Machine Learning which was well appreciated by the stakeholders. He was pretty active member in the team contributing to various off work initiatives also. I wish him good luck in his future endeavors.
Credentials
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Neural Networks and Deep Learning
CourseraMay, 2020- Sep, 2024 -
Introduction to Data Science in Python
CourseraJul, 2019- Sep, 2024 -
Machine Learning Basic Nanodegree
UdacityApr, 2018- Sep, 2024 -
Machine Learning A-Z : Hands-On Python & R In Data Science
UdemyJun, 2017- Sep, 2024
Experience
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NYU Tandon Career Hub
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United States
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Professional Training and Coaching
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1 - 100 Employee
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Data Science Bootcamp Instructor
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Feb 2023 - Present
Responsible for - • Designing & delivering a 10-week data science bootcamp to 400+ students, covering topics such as machine learning, feature engineering, modelling and data visualization. • Evaluating student performance and providing feedback to help them improve and reach their goals. Responsible for - • Designing & delivering a 10-week data science bootcamp to 400+ students, covering topics such as machine learning, feature engineering, modelling and data visualization. • Evaluating student performance and providing feedback to help them improve and reach their goals.
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Prudential Financial
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United States
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Financial Services
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700 & Above Employee
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Data Science Intern
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Jun 2023 - Aug 2023
• Harnessed the power of LLMs to revamp knowledge management and voice call analysis. • Developed POC for NextGen knowledge management system using LLMs that improved customer satisfaction and employee efficiency. • Designed and implemented systemic prompts for using LLMs for streamlined insights extraction and actionable outcomes from voice conversations that saved 60+hours/week. • Harnessed the power of LLMs to revamp knowledge management and voice call analysis. • Developed POC for NextGen knowledge management system using LLMs that improved customer satisfaction and employee efficiency. • Designed and implemented systemic prompts for using LLMs for streamlined insights extraction and actionable outcomes from voice conversations that saved 60+hours/week.
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New York University
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Higher Education
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700 & Above Employee
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Course Assistant - Regression II : Categorical Data Analysis
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Sep 2022 - Feb 2023
• Assisting faculty with preparation of course materials, grading and course-related administrative matters • Responsible for proctoring quizzes and exams • Assisting faculty with preparation of course materials, grading and course-related administrative matters • Responsible for proctoring quizzes and exams
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Dell Technologies
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Biotechnology Research
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1 - 100 Employee
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Senior Analyst, Data Science
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Dec 2021 - Aug 2022
• Spearheaded the development of an algorithm for automating and improving “Customer Account Linkage Validation”• Awarded Inspire Award for Innovation - Built an asset health risk score prediction algorithm with $ One Billion revenue potential• Contributed to “Train the Trainer” initiative to improve adoption of MLOps practices across the organization• Co-led the APJ Chapter of Graduate Networking Program(GNP). Ideated and organized five events for facilitating networking opportunities for recent college graduates• Hosted four episodes of GNP Podcast & engaged with leaders from across the organization for them to share their professional journey, tips for fresh graduates, views on technology trends and opportunities, with 250+ global attendees per episode Show less
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Software Engineer
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Jul 2020 - Dec 2021
• Created and facilitated adoption of industry standard, end to end CI/CD pipelines built using both inhouse and third-party tools like Sonarqube, Checkmarx and Blackduck that has helped save five hours per deployment• Significantly contributed to developing a combination of statistical models and neural networks to predict health risk scores for the Asset at Risk Project. Utilized historical telemetry and service request data to identify the propensity of refresh for customer installed assets. The pilot project uncovered $900M+ in potential revenue and when rolled out globally, the benefits would increase manifold. I received the Inspire Award for Innovation for the same • Submitted a joint disclosure for our novel clustering algorithm1 to automate refresh/renewal tagging of past incomplete asset opportunities• Recorded 30+ DevOps self-paced video tutorials used for training 300+ team members• Co-hosted the Data Science Week in October 2021 Show less
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DVIEW AI - AI Research and Adoption
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Australia
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IT Services and IT Consulting
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1 - 100 Employee
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Machine Learning Engineer
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Jul 2020 - Aug 2021
• Experimented with and evaluated different human pose estimation and image classification models for motion analysis of athletes • Collaborated on an end-to-end pipeline for fast and seamless deployments of ML models on cloud (AWS) • Experimented with and evaluated different human pose estimation and image classification models for motion analysis of athletes • Collaborated on an end-to-end pipeline for fast and seamless deployments of ML models on cloud (AWS)
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Indian Institute of Technology, Delhi
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Higher Education
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700 & Above Employee
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Machine Learning Researcher
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Jan 2020 - Jun 2020
• Worked under the guidance of Prof. Dr. Brejesh Lall on problem statements in domains of computer vision and IoT during the 6 month research internship at Indian Institute of Technology, Delhi • Along with a PhD scholar, designed and developed a state-of-the-art self supervised computer vision model for depth and pose estimation from monocular video • Introduced novel training strategy and learning constraints to beat current benchmarks with lighter models • Published a research paper titled “ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation” in IEEE RA-L, 2021 Show less
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Summer Intern
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May 2019 - Jul 2019
• Designed and developed dashboards for collating and drawing insights from complex data generating from various tools and services across the organization • Contributed to a project for automating tasks and services for the auditing team • Designed and developed dashboards for collating and drawing insights from complex data generating from various tools and services across the organization • Contributed to a project for automating tasks and services for the auditing team
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Birlasoft
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India
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IT Services and IT Consulting
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700 & Above Employee
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Machine Learning Intern
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Jun 2018 - Jul 2018
• Reviewed literature related to computer vision, image classification and facial recognition • Developed a prototype of a Deep Learning based Automated Attendance System using Facial Recognition based on yolov3 • Reviewed literature related to computer vision, image classification and facial recognition • Developed a prototype of a Deep Learning based Automated Attendance System using Facial Recognition based on yolov3
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iMentor Knowledge Services
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India
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Software Development
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1 - 100 Employee
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Summer Intern
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Jun 2017 - Jul 2017
• Utilized NLP based classification model for automating and improving customer complaint/ticket redressal process • Utilized NLP based classification model for automating and improving customer complaint/ticket redressal process
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Education
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2022 - 2024
New York University
Master of Science - MS, Data Science -
2016 - 2020
Manipal University Jaipur
Bachelor of Technology, Computer Science -
2003 - 2016
Modern School, Barakhamba Road
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