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I am Kanika Jindal

I can advice you on a AI/ML solution, I can analyze your Data, Software Developer, A Singer - Songwriter, BloggerI can advice you on a AI/ML solutio|

Name: Kanika Jindal

Profile: Machine Learning Scientist/ SDE

Email: jindalkanika02@gmail.com

Current Location: Los Angeles, California

View Resume

Skills

Python 90%
Natural Language Processing 80%
Machine Learning 90%
Data Visualizations 85%
Time Series Forecasting 90%
Computer Vision 70%
Statistics 70%
About me

I am a graduate student at University of Southern California, pursuing Master's in Computer Science.

I worked as a Machine Learning R&D Engineer at Sopra Steria, Noida, India from August, 2019 to Jan, 2021.

I have graduated in 2019 as a Bachelors of Technology (B.Tech) in Computer Science and Engg. from Guru Gobind Singh Indraprastha University, Delhi.

In my last professional experience, my day to day majorly involved building data stories, predictive models and work with various machine learning algorithms to develop POCs important for the development of the organization.

Libraries and Tools:

Numpy, Pandas, Plotly, AWS SageMaker, AWS Lambda, Flask, Bokeh, Matplotlib, Tensorflow, Keras, Lime, Eli5, Regex, Gensim, Scikit-Learn

Courses and Certifications

What you focus on grows !

Projects

Design is not what it looks like and feels like, design is how it works - Steve Jobs

Analytics

FootFall

Dashboard for retail market that depicts the footfall in various regions in the store which helps in modifying marketing strategies. Sensors were used to collect real-time data.

Development

Checker Game Agent

Checker's game agent for 8 by 8 board built using MinMax Algorithm implemented in Python. This was done as project in CSCI - 561.

Prediction

Inter-Stellar

Predicts future price (day, month, year) for cryptocurrency Stellar and shows trends in opening and closing price. It uses LSTM and It is built using Python, plotLy, Flask and HTML.

ML

Segment Them!

Document segmentor application that takes the unclassified folder of documents as input and segregates them in particular designated categories using Supervised machine learning algorithm.

NLP

Sonnet Generator

Generates Shakespeare-Sonnet using LSTM. Input is a single word and output varies between 20-30 lines of new sonnets generated by previous learning patterns from Shakespeare original Sonnets.

ML

Jazz Music Composer

Generates Jazz - Music using RNN. Output is a mp3 file which is a Jazz music tune generated by seeing patterns of Jazz music from trained model. Completed as part of Coursera coursework.

CV

Smile and Unlock

Face recognition application that detects the person and emotion. If the person is authenticated and emotion is happy, the door unlocks. Completed as part of Coursera course.

NLP

Plagiarism Detector

Compare the input document to the internet resources present and checks for plagiarism. The project is completed as part of MLE Nanodegree on Udacity.

NLP

Empathetic - Sentiment Analyzer

Application that detect the sentiment of the typed in comment or message. Uses Amazon SageMaker, Lambda, S3. As part of MLE Nanodegree on Udacity final project.

NLP

Algorithms

Implemented BFS, UCS and A* search algorithms using Python. This was implemented as a part of CSCI course during MS.

CV

Stone Paper Scissor

Browser based image classification using TensorFlow.js. Uses transfer learning from MobilNet and classify the hand gestures on which it is trained ahead. Check the code in action.