My Experience at MIT Grand Hack 2018

I am deeply interested in solving healthcare related problems using the advances in technology and so I knew applying for MIT Grand Hack which is the largest healthcare hackathon held at MIT Media Labs would provide me a great platform to explore this. Application to this hackathon involved filling out the google doc which had a few questionnaire like briefly explaining your skills, projects, ideas etc. They were sending out the results on a rolling basis so it’s good to apply for it as early as possible. I was selected for it and got notified a month prior to the hackathon that was held on 13-15 April, leaving me with enough time for visa applications and other bookings. 


I reached Boston two days before the event so I had enough time to explore the MIT and Harvard campus and experience how the student life there is. The campus was beautiful, situated across the Charles river and full of students always busy doing something or the other. 


On 12th evening a pre-hack event was organised in the Beautiful Seaport district of Boston at Continuum Design centre so that all the participants get to network with each other and meet few of the mentors and discuss various ideas. I was amazed to see people from varied backgrounds like medical, pharma, business, computer science, mechanical engineering, academia etc and also of a wide age group right from high schoolers to retired gentlemen. 


Next day in the evening the event started. There were two tracks one was of Global health and the other of Connected Health. I was placed in the connected health track. There were few great keynote speakers from many Boston based healthcare startups and firms. There were also inspirational doctors addressing all the participants. 

It all started with the idea pitching and team formation session wherein anyone who had an idea could come up and pitch it and the others can see which idea they like and want to work for. I in particular liked the idea that Mike pitched that was about trying to structure the unstructured clinical trial data. During the team formation and networking session where people just roamed around discussing and trying to find a right team, I realized I wanted to work for Mike's idea more than anyone else's idea. We finally had our team with me being the only undergrad student with almost no experience and the others Mike, Amy, Raymond, Suhas and Rahul all pretty much experienced in their fields. One very good thing about our team was the diversity with people being from software, data science, pharma, and managerial backgrounds. 

Over the weekend with a lot of brainstorming sessions within the team as well as with a lot of mentors, working on the technicalities and the business model for the idea and finally shaping the idea perfectly for the final pitching session I genuinely learnt a lot. It is always great to be in a team with a lot of experienced members and the best part being all of them so down to earth. Honestly I might not have contributed really to the ideation but I learned a lot looking at the idea from a fresher's eye. Totally grateful to my entire team. 

Giving a brief of the idea, TRIAL CONNECT that is our project name is a platform that would quickly match the right patient to the right trial. Because if you see, a clinical trial has a lot of inclusion and exclusion criteria and all of these information being very unstructured makes it difficult and a lengthy process to find the right set of patients for conducting the trial. In the US all the trials need to be registered with the clinicaltrial.gov so that becomes the database for all the trials for us, and the patient data comes from the EHR/EMR systems. Using Natural language processing and Machine learning algorithms Trial connect plays the role of an interface between both the databases and fetches the best match as a result. There is more to this idea but all in all it is a solution that provides value to multiple stakeholders like patients, physicians, EMR companies, CROs (Contract Research Organisation) and the pharma companies. 


And guess what? We did win the theme prize of 500$ at the end. Happy happy :) 
Mike and Amy really did amazing during the final pitching session and Amy made the presentation like a professional, I mean these soft skills are just so important and plays the key role to the winning. Something that is now Noted in my mind. 



At the end I'd just say anyone who gets this opportunity, make the best of it and whatever it is its always going be to a nice experience meeting and interacting with so many people and who would anyway want to miss the opportunity of visiting MIT and the beautiful city of Boston to which I am already in love with. 


Thanks for reading :) 








The conference day! Women in Data Science.



Women in Data Science, Mumbai Conference, 10th March


This year I tried something different. It all started with one thought that pricked me, Data Science is an interesting field, there is just so much that keeps happening in this field, what if I get to build a community where people get to understand how working in this field feels like and the various projects that can be undertaken in it. That was when I came across Women in Data Science, a Global Conference organised by the Stanford University, ICME Department. Being a strong supporter of diversity, I felt this is just the right platform I needed, so I reached out to the co-ordinators and expressed my willingness to take a stand and organize a similar conference in Mumbai with their constant support. Meeting my co-ambassadors Julian, Khushboo and Aqsa and working together to make it happen was a journey full of learning, encouraging, meeting new people and finally successfully pulling off this conference. Here goes the highlights! 

Recently Forbes stated that the biggest event on the data science community calendar is the one that showcases women in the field. Global Women in Data Science is the largest analytics conference on Earth. The first edition of Mumbai WiDS conference held on 10th of March at VJTI College featured 8 female speakers and was attended by around 105 participants composed of a mixed group of students, industry experts and researchers.

The conference started off with the WiDS ambassadors welcoming all the attendees and placing the agenda for the day. 

The Keynote speaker, Mrunali Sathe who is a business oriented leader addressed the audience and talked about taking control of the narrative. She totally encouraged the women to look for growing up in what they are doing and the importance of data in the business. 

The next keynote speaker, Shweta Doshi talked about her EdTech Startup journey and inspired the audience and made them realize how important a good networking helps to achieve more and more. 


(Left-Mrunali Sathe, Right-Shweta Doshi)

Kritika Jalan a business analyst, our next speaker gave a brief overview on the learning path to become a data scientist giving example of her own learning curve. It is the interest that drives you to learn more in this field and it is never too late to start off. 



Dr. Anjali Chopra who is a consumer insights specialist and educationalist spoke next and thoroughly grabbed the attention of the audience by sharing her vast knowledge in Role of Marketing Analytics and Text Mining in targeting the right customer. Through various case studies she explained the role of logistic regression and how to interpret the odds ratio. She briefed about using the data modelling platform called RapidMiner and about validating the results. 


Our next speaker Sarah Masud who is a data scientist at RedHat talked on a very interesting topic of seven sins of a data science newbie and how not to commit them. She covered 7 various misconceptions that a college student working on data science projects would have and gave the reality check of after college work environment. It was very insightful. 

Link to Slides: 


We broke off for the networking lunch at this point and also tried to cover the delayed broadcast of Latanya Sweeney’s keynote address from the main Stanford WiDS conference held on 5th of March during the lunch. 


Post the lunch break Saloni Bhogale who is a Young India Fellow at Ashoka University took charge of the dais. Knowing about her work with Political Data and Parliamentary Research was very fascinating. It definitely opened up a new interest among the audience to work with such data. 



Next up was Sahiba Chopra who is a data scientist at SugarBox, she talked on the intersection of behavioral economics and data science. How the social media feeds get tailored with news using the user’s confirmation bias and noticing that fake news encounters maximum engagement makes us realise that we need to cross check whatever we share online. 

Link to Slides: 


The last speaker was Nitika Goel, a data scientist at FlexiLoans, who shared insights from the FinTech world. She gave an overview of Natural Language Processing (NLP) methods used to lend money to the right customers. 

Link to Slides: 


To sum it up, it was a very engaging day that opened up new interests in everybody and it was great to see the amazing networking going on among all the attendees. We also had prizes for a small filler quiz session and the best tweet of the conference. Huge thanks to our sponsors, Fractal Analytics, VJTI Alumni Association, DataGiri and GreyAtoms for all the support. 

It was amazing working in this team! (From left to right- Khushboo, Aqsa, myself and Julian) 


Thanks a lot to Judy and Ashley from WiDS Stanford to constantly supporting us and giving us this opportunity.

Just as an end note, if anyone is in support of this initiative and wants it to grow more next year can feel free to hit me up for further discussions.

Cheers!!

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