EXPERIENCE
Data Scientist
Vitali (NY)
Mar 2025 - Present
Built flight recommendation MVP from scratch, securing initial paying customers. Developed ETL pipelines with Python/PostgreSQL integrating Amadeus and Skyscanner APIs. Created GPT-4 driven recommendation engine with 89% match accuracy. Deployed on Google Cloud with Tableau dashboards, improving market visibility by 30% while reducing time-to-insight by 30% through optimized architecture.
Data Scientist
Vitali (NY)
Mar 2025 - Present
Built flight recommendation MVP from scratch, securing initial paying customers. Developed ETL pipelines with Python/PostgreSQL integrating Amadeus and Skyscanner APIs. Created GPT-4 driven recommendation engine with 89% match accuracy. Deployed on Google Cloud with Tableau dashboards, improving market visibility by 30% while reducing time-to-insight by 30% through optimized architecture.
Data Scientist
Vitali (NY)
Mar 2025 - Present
Built flight recommendation MVP from scratch, securing initial paying customers. Developed ETL pipelines with Python/PostgreSQL integrating Amadeus and Skyscanner APIs. Created GPT-4 driven recommendation engine with 89% match accuracy. Deployed on Google Cloud with Tableau dashboards, improving market visibility by 30% while reducing time-to-insight by 30% through optimized architecture.
ML Intern
Blackstone(NY)
May 2024- Aug 2024
Built a DEIA-focused job-matching platform using OpenAI and vector search technology, successfully scaling to 2,000+ users within just 4 months. Created a comprehensive technical ecosystem by integrating Greenhouse and Lever APIs for real-time job matching while designing an admin dashboard with Bubble.io, PostgreSQL, and Airtable that reduced reporting workload by 50%. Executed 4 MVP feature releases through structured Agile sprints managed in Jira, enabling successful onboarding of 500+ job seekers and 20+ employers during beta testing.
ML Intern
Blackstone(NY)
May 2024- Aug 2024
Built a DEIA-focused job-matching platform using OpenAI and vector search technology, successfully scaling to 2,000+ users within just 4 months. Created a comprehensive technical ecosystem by integrating Greenhouse and Lever APIs for real-time job matching while designing an admin dashboard with Bubble.io, PostgreSQL, and Airtable that reduced reporting workload by 50%. Executed 4 MVP feature releases through structured Agile sprints managed in Jira, enabling successful onboarding of 500+ job seekers and 20+ employers during beta testing.
ML Intern
Blackstone(NY)
May 2024- Aug 2024
Built a DEIA-focused job-matching platform using OpenAI and vector search technology, successfully scaling to 2,000+ users within just 4 months. Created a comprehensive technical ecosystem by integrating Greenhouse and Lever APIs for real-time job matching while designing an admin dashboard with Bubble.io, PostgreSQL, and Airtable that reduced reporting workload by 50%. Executed 4 MVP feature releases through structured Agile sprints managed in Jira, enabling successful onboarding of 500+ job seekers and 20+ employers during beta testing.
Research Assistant
GMR (India)
Jan 2020 - Aug 2021
Assisted Prof. Laxmi in a Research project, which was then published in ICRISET -2021
Research Assistant
GMR (India)
Jan 2020 - Aug 2021
Assisted Prof. Laxmi in a Research project, which was then published in ICRISET -2021
Research Assistant
GMR (India)
Jan 2020 - Aug 2021
Assisted Prof. Laxmi in a Research project, which was then published in ICRISET -2021
Data Scientist
ChatWithMenu (NY)
Sep 2024- Jan 2025
Developed an intelligent food ordering system by creating a personalized chatbot with OpenAI's GPT-4 API that used JSON profiles to provide allergy-aware recommendations, increasing user demographics by 22%. Built comprehensive ETL pipelines and scraped 20+ restaurant menus using PostgreSQL, NoSQL, and BeautifulSoup, which improved data quality by 35%. This MVP solution combined sophisticated AI capabilities with robust data infrastructure, supporting scalability needed for Series B funding while maintaining low operational costs.
Data Scientist
ChatWithMenu (NY)
Sep 2024- Jan 2025
Developed an intelligent food ordering system by creating a personalized chatbot with OpenAI's GPT-4 API that used JSON profiles to provide allergy-aware recommendations, increasing user demographics by 22%. Built comprehensive ETL pipelines and scraped 20+ restaurant menus using PostgreSQL, NoSQL, and BeautifulSoup, which improved data quality by 35%. This MVP solution combined sophisticated AI capabilities with robust data infrastructure, supporting scalability needed for Series B funding while maintaining low operational costs.
Data Scientist
ChatWithMenu (NY)
Sep 2024- Jan 2025
Developed an intelligent food ordering system by creating a personalized chatbot with OpenAI's GPT-4 API that used JSON profiles to provide allergy-aware recommendations, increasing user demographics by 22%. Built comprehensive ETL pipelines and scraped 20+ restaurant menus using PostgreSQL, NoSQL, and BeautifulSoup, which improved data quality by 35%. This MVP solution combined sophisticated AI capabilities with robust data infrastructure, supporting scalability needed for Series B funding while maintaining low operational costs.
Event Supervisor
Syracuse University
Jan 2023 - May 2024
Managed all major events at the Syracuse University, maintaining clear communication channels between multiple departments during high-pressure situations. Developed staff schedules, coordinated event logistics, and handled ticket sales operations while making quick decisions to resolve issues during large-scale university gatherings.
Event Supervisor
Syracuse University
Jan 2023 - May 2024
Managed all major events at the Syracuse University, maintaining clear communication channels between multiple departments during high-pressure situations. Developed staff schedules, coordinated event logistics, and handled ticket sales operations while making quick decisions to resolve issues during large-scale university gatherings.
Event Supervisor
Syracuse University
Jan 2023 - May 2024
Managed all major events at the Syracuse University, maintaining clear communication channels between multiple departments during high-pressure situations. Developed staff schedules, coordinated event logistics, and handled ticket sales operations while making quick decisions to resolve issues during large-scale university gatherings.
ML Intern
Pearl thoughts
May 2021 - Jun 2021
Analyzed 20k + e-commerce transactions by building Python-SQL ETL pipelines and NLP (BERT)-powered return classification, reducing reverse logistics costs by 56% and manual effort by 40%, while improving customer satisfaction by 93%.
ML Intern
Pearl thoughts
May 2021 - Jun 2021
Analyzed 20k + e-commerce transactions by building Python-SQL ETL pipelines and NLP (BERT)-powered return classification, reducing reverse logistics costs by 56% and manual effort by 40%, while improving customer satisfaction by 93%.
ML Intern
Pearl thoughts
May 2021 - Jun 2021
Analyzed 20k + e-commerce transactions by building Python-SQL ETL pipelines and NLP (BERT)-powered return classification, reducing reverse logistics costs by 56% and manual effort by 40%, while improving customer satisfaction by 93%.
Looking to start a project or you need consultation? Feel free to contact me.
New York, USA
yskadari@gmail.com
www.linkedin.com/yogitaadari/