
Tushar Chauhan
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Tushar Chauhan
- Bis heute 2 Jahre und 11 Monate, seit Sep. 2022
Consultant ( Python Backend Developer )
Elevondata
Developed an AI-powered claims module by integrating Generative AI with RAG and YOLO, removing 99% manual damage assessment for insurance processing. Prepared performance dashboards with 6+ metrics, delivering real-time operational transparency to stakeholders and enabling data-driven decisions across the organization. Spearheaded creation of a centralized notification platform handling email and WhatsApp, enabling notification to reach 99.9% of users with personalized content.
- 1 Jahr und 2 Monate, Juli 2021 - Aug. 2022
Assocate Consultant
Elevondata
Revamped template management module for the insurance platform that integrated seamlessly with the front-end team, 100% eliminating manual configuration processes. Developed a user-friendly campaign management system that eliminated manual data entry, saving the marketing team 10 hours per week and freeing up resources for strategic initiatives. Designed REST APIs to automate billing operations, reducing billing errors by 50% and enhancing customer satisfaction.
- 3 Monate, Apr. 2021 - Juni 2021
Data Science Intern
Innomatics Research Labs
Collaborated with a 4-member team to develop a Music Recommender System that achieved an accuracy of 73%, resulting in 32% improvement from the baseline. Achieved 93% accuracy in classifying Yelp reviews (1-star vs. 5-star) using an NLP-based sentiment analysis model to evaluate business ratings.
- 1 Jahr, Sep. 2018 - Aug. 2019
Education Volunteer
Umeed A Drop Of Hope
Spearheaded a campaign to educate 20 girls from underprivileged backgrounds by initiating an outreach program with the help of 7 volunteers. Partnered with 5 local businesses to secure over $1,000 in school supplies for underprivileged students.
Ausbildung von Tushar Chauhan
- 4 Jahre, Aug. 2017 - Juli 2021
Electrical and Communication Engineering
Jaypee Institute of Information Technology
Thesis on "Increasing efficiency in Piezoelectric Material for chip manufacturing and analysis using Machine Learning and data visualization”.
Sprachen
Englisch
Fließend
Hindi
Muttersprache
Deutsch
Grundlagen
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