Hello there! I'm Niharika GOPINATH Menon 👋



I am a MS Computer Science Student in The Graduate School at Northwestern University. I am passionate about improving User Experience and Product Management, and I believe that the intersection of HCI and AI is the future of product development. I am fascinated by the potential of AI to create products that are more user-friendly, efficient, and impactful. I am also committed to using my skills to create products that solve real-world problems and make a positive impact on the world.

Human-Centred Computing → User Experience → Product Management


WORK

INTERNSHIP PROJECT

LeadsFlo🔗


Associated with FreshDigital Consulting Services.

LeadsFlo makes marketing communication and engagements a delightful experience. It is an exclusive platform to book your meetings through multi-channel demand generation and sales engagement that assists the sales team to deliver the right message at the right time and ensures smooth customer engagement.

I work on the User Experience and the Development of the service.

Dec 2021-April 2022
RESEARCH PROJECTS


Intelligent and effective deep learning framework for schizophrenia prediction🔗


Prediction of early onset of schizophrenia (SZ) in children and adoloscents using data samples from EEG tests. This helps in better diagnosis, leading to an improved treatment regimen.

Feb 2022 - May 2022
Simplification of Educational Text using Text Summarization and Text-to-Speech🔗


Summarize input text using a hybrid extractive-abstractive summary, convert the summary of academic material into speech format. A take on Speechify.

Sept 2021 - Nov 2021
Deep Learning based Transcribing and Summarizing Clinical Conversations🔗


To download the paper Click here (PDF).

Works on recorded conversations between doctors and patients. Noise reduction is performed on the audio, following which it is converted to text format. The text is further processed to produce a tabular summary of all the essential details discussed in the conversation

A research paper based on this was written and presented at the 5th International Conference on I-SMAC(IoT in Social, Mobile, Analytics and Cloud) on 11th November 2021

Sept 2021 - Oct 2021
Identifying Malignancy of Lung Cancer using Deep Learning🔗


To download the paper Click here (PDF).

Most literature related to identifying tumors focus either on classifying based on types such as adenoma, carcinoma, teratoma etc or classify the malignancy as benign or malignant. But there are some tumors that are not cancerous yet, but have the potential to become cancerous. Such tumors are pre-malignant. Hence, this project focuses on improving the efficiency in identifying premalignant tumors.

The research paper associated to this was published in the Springer Artificial Intelligence for Healthcare book on Oct 30, 2021.

Mar 2021 - May 2021


OTHER PROJECTS

Text Digitizer

Convert handwritten prescriptions given by doctors and nurses into text using CNNs and RNNs.

August 2021
Poetry Generator

Used Bi-LSTM to generate poetry similar to sonnets

August 2021
Symptoms based Prognosis using Machine Learning

Provide a prognosis based on the symptoms entered by the user. The algorithms used are Naive Bayes and Decision Tree. The UI was built using Tkinter

July 2021
Stock Market Price Prediction using LSTM

Used historical stock prices obtained through web scraping and time series analysis to predict stock prices in the Indian Stock Market.

Mar 2021 - May 2021
SENTIMENT ANALYSIS USING NLP

The aim of this project is to analyze the underlying sentiment (positive, negative, sarcastic and ambiguous) of the input statement entered by the user using a sequential neural network with a Bi-LSTM layer, and NLP techniques such as tokenization, removal of stopwords, special characters (as part of preprocessing of the data).

Oct 2020 - Nov 2020
INVENTORY MANAGEMENT SYSTEM

A low-level inventory management system developed using python, to help shopkeepers manage the commodities involved in their day to day business. The model is capable of performing basic tasks like searching for a product, displaying the entire inventory, adding/removing products, and identifying the most and the least sold products.

April 2020

About Me

Niharika Gopinath MenonI love connecting with people and learning. I'm a 22 year old Computer Science Engineer with experience in Machine & Deep Learning. I'm in the pursuit of gaining experience in Human-Computer Interaction (HCI) and User Experience(UX). From Dec'21, I started interning as a Developer at FreshDigital, a startup based in Chennai, India.

I'm passionate about
  • HCI & UX research, with keen interest on healthcare & assistive tech, social computing systems
  • AI (Deep Learning & Natural Language Processing) - to build intelligent, interactive tools for users.
  • The Consumer Electronics Show (CES) to keep up with latest developments in tech.



  • My Tech Stack


    TECHNICAL SKILLS
    • Design Thinking
    • Card Sorting
    • Storyboarding and Wireframing
    • Prototyping
    • Communication and Presentation
    • Organizational and Analytical Skills
    • Understanding of technical documentation
    • Data Visualization
    • Machine Learning and Deep Learning Algorithms.
    • Natural Language Processing.
    • Data Analysis and Predictive Modelling


    My ATTRIBUTES
    • Keen to learn and improve myself and my knowledge.
    • With natural leadership skills and also good at being a team player, I focus on getting everybody including myself, to complete a given task promptly.
    • Effective communication skills with experience in conducting events at high school and college.
    • Keen on acheiving goals through thorough planning, efficient management of time and efforts.

    Certifications
    • Introduction to User Experience Design- Georgia Institute of Technology/Coursera
    • Deep Learning Specialization - deeplearning.ai/Coursera
    • Intro to TensorFlow - Google Cloud Platform/Coursera
    • Basic Image Classification using TensorFlow - Coursera
    • Machine Learning with Python - IBM/cognitiveclass.ai
    • Introduction to Data Sciene - IBM/ cognitiveclass.ai
    • Deloitte Technology Counsulting Virtual Internship - Deloitte/InsideSherpa
    • Accenture Discovery Program - Accenture/InsideSherpa


    RESUME

    To download the latest version of my resume

    Click here.

    Contact

    Like what you see? Feel free to reach me at 080300nic@gmail.com for freelance/contract work or if you want to chat! I'd be happy to hear from you