Sep 2019 – Dec 2019 · 3 mos · Greater Munich Metropolitan Area

• I did an internship at the Digital Product School. I worked there as an AI Engineer cum Product Manager in my team. The goal while working at DPS was to build digital products in a diverse cross-functional team. Our problem space was related to “Zero Emission Traffic in Urban Areas” and our industry partners were BMW, City of Munich and Stadtwerk München. We did a lot of user interviews, desk research and ideation on top of it to reach a solution concept. After that, we developed a Digital App and did users test on it to improve it. During these three months, I learnt a lot about prototyping techniques and also about user interaction and design in a digital product.

Feb 2019 – Aug 2019 · 6 mos · Greater Munich Metropolitan Area

• Working as a part of the ABSi Reloaded team:
• Sprint planning
• Backlog refinement and JIRA update
• Budget planning and Resource allocation
• JIRA synchronization between two instances

Nov 2018 – Oct 2020 · 1 yr 11 mos · Greater Munich Metropolitan Area

• Student initiative founded in 2015 to participate in the SpaceX Hyperloop Pod Competition which aims to encourage students to develop and manufacture a working prototype for an Hyperloop Pod and to test it on a track built by SpaceX in Hawthorne, California. TUM Hyperloop has participated in every edition of the competition and has won the tournament by building the fastest pod already three times in a row. The next competition is planned for summer 2019.

Jan 2018 – Sep 2018 · 8 mos

• Classroom On Cloud POC
• Building a tutorial using Amazon AWS Sumerian
• Creating a scene, integrating it with AWS Lex service for conversation
• Designing the workflow using State Behaviour
• Technologies - AWS: Sumerian, Lex, DynamoDB, Lambda
• Social Listening and Sensing
• The Social Listening and Sensing project is based on identifying and assessing what is
• being said about a company, individual, product or brand on the Internet on a single click.
• Implemented the social media sentiment Analysis using Machine learning classifier ie.
• Multilayer Perceptron and deep learning classifier ie, CNN and LSTM.
• Extraction of content for a brand/ entity from News Articles and Blogs.
• Extraction of comments from Reddit through sub-reddits (comment tree).
• Technologies - Python, MongoDB, ML Algorithms, PRAW
• Summarization BOT
• Manual summarization of news articles.
• Categorized and sub-categorized the articles.
• Developed Python code to detect Numerical Data for articles.
• Tested the App on the server to check for
• errors and faults
• Tested for links which gave good summary
• output
• Technologies - Python, ML Algorithms, BeautifulSoup

Aug 2017 – Jan 2018 · 5 mos

May 2016 – Jun 2016 · 1 mo · Bengaluru, Karnataka, India

• I worked here as a Content Writer and Social Media Marketing intern.
• Social media marketing:
• Responsible for strategizing monthly calendar on Facebook, Instagram and Twitter for increasing brand awareness & user engagement across channels
• Monitoring trends on social media to improvise the strategy by creating shareable content
• Content creation/ curation:
• Research on various topics to write about
• Write on different things and relate them to how the brand could enhance their experience
• Strategize and manage the development of creative assets to support campaigns, work closely with
• in-house creative team to ensure visuals and interactive messaging is in-line with campaigns

Jun 2015 – Jun 2015 · 0 mo · Greater Kolkata Area

• I worked on technologies such as JAVA Spring Framework.
• I used the framework to build a small Web Application.

May 2015 – May 2016 · 1 yr · India

• Worked towards managing the production of short films and videos and releasing them from the Youtube Channel. Also, supervised the event management team. `

May 2015 – Apr 2016 · 11 mos · India

• I worked on the articles related majorly related to the entertainment sector.

Apr 2015 – Apr 2016 · 1 yr · India

Jun 2014 – Jun 2014 · 0 mo · Work from home

• I learnt the basics of Android Application Development during this training period.