Prayansh Ratan Srivastava

This is Prayansh Ratan Srivastava. I currently work as an Associate Product Manager at Hevo Data and am responsible for product management in the Integrations team. Previous to this I worked as an Application Engineer at Medidata Solutions R&D (an entity of Dassault Systèmes) and was responsible for full-stack application development in the CTMS (Clinical Trial Management System) team. I pursued B.Tech. (Bachelor of Technology), with a major in Information Technology from the National Institute of Technology, Raipur, India, and graduated in June 2020. I have a hands-on experience in Python, Scala, MySQL, Data Analysis, Tableau, Machine Learning, Wireframing, Technical Documentation, and UI/UX Designing. I have an eye for great UI & a keen interest in building brilliant products that provide excellent customer experience.
I am looking forward to opportunities in Product Management and will love to have a conversation on the same.

I have been fortunate enough to meet brilliant minds who helped me achieve my dream of becoming a product manager. They helped me with mock interviews and spent their valuable time with me without charging any fees. I wouldn't have become a PM if not for these people. So I have decided to give back to the community, and as part of that initiative I'll be available over weekends to conduct product mock interviews, for aspiring PMs, with a focus on Product design, free of cost. You can use this time to discuss related topics like resume tips, resources to prepare for interviews, etc. Feel free to schedule a 60min with me, by clicking on the calendar icon below.


Experience

Associate Product Manager

Hevo Data

  • Product Management Improved user experience of how our customers move data using the platform.
  • Engaged with existing and prospective customers, understood the use of data in their business, and bringing improvements in the product to address those needs.
  • Understood the day-to-day problems of Data Engineering, Data Analyst, Marketing, and Sales teams in customers' organization. Understood the competition, adjacent technology landscape, and key market drivers.
  • Conducted customer interviews, meet and greet sessions, and get insights into user journeys in technology adoption.
  • Developed and worked with senior management on product vision, strategy, and business plans and evangelize within the organization.
  • Worked closely with user interface design, engineering, and operations to define detailed requirements and develop products.
  • Measured and analyzed product and feature performance for opportunities to innovate, improve customer experience, and increase adoption.

October 2021 - Present

R&D Associate Engineer

Dassault Systèmes

  • Application Developer Full Stack application development for the Clinical Trials Management System (CTMS) team at Medidata Solutions R&D (an entity of Dassault Systemes).
  • CTMS, an important product in the healthcare industry, has been used extensively in the discovery of Covid-19 vaccines.
  • Worked in a cross functional team to understand the customer requirements and improve their experience of the product by improving the UI and adding new features and tweaks according to the UX research and the inputs by design team and creating a seamless experience across the CTMS products.
  • Guided new hires and Knowledge transfer sessions on the code walkthrough, development environment & repo setup.

August 2020 - October 2021

Research Intern

IIIT Allahabad (MHRD Lab)

  • Research Intern at Information Technology & Multimedia Research (ITMR) Lab (under MHRD) under the guidance of Dr. Anupam Agrawal to develop an architecture for ‘Airplane detection in Remote Sensing Images’.
  • Studied various deep learning architectures and compared the models for detection of single and multi-airplane images.
  • Achieved a confidence factor of 0.92 for images containing single aircraft and 0.85 for images containing multiple aircrafts, which is on par with the state-of-the-art architectures given the limitations of the data and computational power available.

May 2019 - July 2019

Machine Learning Intern

Effcon Technology

  • Machine Learning intern for Effcon Technologies. Developed a recommender system to facilitate parents and kids to find suitable teachers in their vicinity according to machine learning algorithms.
  • Exposed an API for the same and used in an educational website, leading to around 130% increase in engagement.
  • Mentored peers in different machine learning algorithms and tools.

December 2018 - February 2019

Head Coordinator, Design

Entrepreneurshi Cell, NIT Raipur

  • Managed a team of designers to organize E-Summit, NIT Raipur, with a footfall of over 5000 participants.
  • Delivered design contents like posters, merchandise, on the basis of requirements from Marketing and Sponsorship teams.

March 2017 - March 2020

Head of Design

Codeutsava NITRR

  • Managed a team of designers and organized CodeUtsava, NIT Raipur, with over 200 teams from all over the country.
  • Delivered design contents like posters, merchandise, on the basis of requirements from Marketing and Sponsorship teams including the iconic CodeUtsava mascot and the UI designs for CodeUtsava website and app and handling Twitter & Insta handles.

Dec 2017 - March 2020

Education

National Institute of Technology, Raipur

bachelor of technology
Information Technology
August 2016 - June 2020

Delhi public School, Raipur

Senior Secondary
PCM & Computer Science
April 2015 - May 2016

Skills

Machine Learning 60%

Statistics60%

Data Analytics75%

Deep Learning40%

Python60%

Graphic and Web Designing80%

Web Development50%

Programming Languages & Tools


Projects

Multi-Objective ABC for Gene Selection

Machine Learning

Worked in a group of three and implemented ABC algorithm for multi-objective gene selection from a gene pool.

Shutterbug

Computer Vision

Computer Vision models for image manipulation such as brightness, sharpness etc, face detection and recognition.

Tutor Recommender System

Machine Learning

Build and deployed a recommender system to find PCM tutors for students based on predefined factors and preferences on an education portal.

ReadSpeed

Machine Learning

Psychology based ML model to predict the number of hours of man work required to obtain desired marks.

Water and Sanitation Support System

Web Development

Web Portal for water and sanitation support system to analyse and keep track of the harmful contents in water.

Front-end mini projects

Web Development

A collection of front-end projects using HTML, CSS, Javascript.


Awards & Certifications