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Priyanka Nath

Product + AI Leader, IIT-Delhi

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About

Priyanka is a highly experienced and innovative Founder with expertise in Data Analytics, Machine Learning, and Research in domains such as Finance, Bio-informatics, e-Commerce, and Internet of Things (IoT). She has a proven track record of identifying insights for innovation based on market and customer opportunities, and the knowledge of bleeding-edge Research. Priyanka has a strategic mindset and can transform insights and ideas into revenue-generating actionable project leads. Currently, Priyanka is the Founder of Vevesta Labs, where she is developing a SaaS software to fix gaps in data science processes. She has been selected in 100X.VC Entrepreneurship Gurukul Cohort 2 and is leading the company towards success. Priyanka has also worked as a Data Science Manager at Kobler, where she set up the data science practice and led and grew the Data Science and Machine Learning team. She developed a model to predict trending topics using NER and z-score and developed a word2vec implementation for suggesting contextual words. Priyanka also developed data-driven insights and solutions with advanced analytics to extract insights from varied data sources such as Rest API, mySQL database, and mongoDB. Priyanka has also worked as a Research Assistant at the Indian Institute of Technology, Delhi, where she wireframed and drove the development of a dashboard that presented the skills and projects accomplished by the team, leading to an increase in outreach and visibility of the initiatives taken up by the team. She also led data mining activities on Global Wealth Management data using R and Teradata Miner on big data and recommended an actionable strategic plan to ensure that the best of the data mining tools are selected for data mining practice in GWM. Priyanka has established an advanced data analytics practice in Global Wealth Management space in Morgan Stanley Smith Barney and conducted workshops to upgrade the skill of a diverse team in the domain of data analytics. Priyanka holds a Master's degree in Computer Science from the Indian Institute of Technology, Delhi, and a Bachelor's degree in Information Technology from Galgotia Institute of Technology. She is proficient in various technologies such as Data Scientist, Research Scientist, Python, ML, NLP, Computer Vision, Word2Vec, MySQL, MongoDB, RNN, Deep Learning, SQL, UI, CNN, Big Data, Product Manager, and Software Engineer. With 13.36 years of relevant experience, Priyanka is a highly skilled and motivated individual who is passionate about using

Education Overview

iit delhiindian institute of technology delhi

galgotia institute of technology

Companies Overview

vevesta labs

kobler

transposeai stealth stage startup

groupon

samsung

indian institute of technology delhi

algorithmic insight

payu

morgan stanley

jawaharlal nehru university

Experience Overview

14.8 Years

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Contact Details

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Mobile Number

+91XXXXXXXX54

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Frequently asked questions

What company does Priyanka Nath work for?

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Priyanka Nath works for vevesta labs

What is Priyanka Nath role in their workplace?

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Priyanka Nath's role in their workplace is Founder/CEO/CPO

What is Priyanka Nath's tenure in their workplace?

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Priyanka Nath's tenure in their workplace is 4.92 years

What is Priyanka Nath's total experience?

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Priyanka Nath's total experience is 14.83 years

What is Priyanka Nath's LinkedIn profile?

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Priyanka Nath's LinkedIn profile can be found here

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Priyanka Nath's email address is natXXXXXXXXXXXXXXXXXXXXom. Unlock here

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Priyanka Nath's phone number is +91XXXXXXXX54. Unlock here

What schools did Priyanka Nath attend?

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Priyanka Nath has attended iit delhiindian institute of technology delhi, galgotia institute of technology

What companies has Priyanka Nath worked with?

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Priyanka Nath has worked with vevesta labs, kobler, transposeai stealth stage startup, groupon, samsung, indian institute of technology delhi, algorithmic insight, payu, morgan stanley, jawaharlal nehru university

What are some of Priyanka Nath's skills?

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Priyanka Nath has skills in Agile Methodologies, algorithms, analytics, Application Programming Interfaces (API), Artificial Intelligence (AI), Big Data and more.

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