KAVITA ANANT

***W ***St New York NY ***** 646-***-**** adgye5@r.postjobfree.com https://www.linkedin.com/in/kavitaanant/ https://medium.com/@kavitaanant

PROFESSIONAL SUMMARY:

A graduate student currently pursuing Master’s degree with a primary focus on Data Driven Analysis and Computation. A Professional with 2 years of experience in Software Engineering. Passionate Machine Learning aspirant with a demonstrated background in Audio and Speech Processing, Speaker Identification and Deep Learning.

EDUCATION:

Columbia University, New York, NY

Master of Science in Electrical Engineering, Concentration- Data Driven Analysis and Computation Aug 2019-Dec 2020

Coursework- Neural Network and Deep Learning, Big Data Analytics, Statistical Learning, Algorithms for Data Science, Databases, Natural Language Processing, Large Scale Stream Processing, Advanced Big Data

SIES Graduate School of Technology, University of Mumbai, Mumbai, IN

Bachelor of Engineering in Electronics and Telecommunication Jun 2013-Jun 2017

Major Coursework- Random Signal Analysis, Digital Time Signal Processing, Speech Processing, Image and Video Processing, Object Oriented Programming, Applied Mathematics, Data Compression and Encryption.

PROFESSIONAL EXPERIENCE:

Roche (Genentech), Machine Learning Intern, New York, NY May 2020-Aug 2020

Designed a Deep Learning Pipeline to perform Speaker Diarization on the data received from an audio digital biomarker.

Developed a Speaker Identification model using Deep Learning frameworks like Pytorch and Fastai.

Performed unsupervised learning on the embeddings generated by the model to separate the speakers.

L&T Infotech, Software Engineer, Mumbai, IN Jun 2017-Jun 2019

Generated queries to test an Insurance and Banking based software from various sources like Requirement Document, Specification Document, bug reports that were relevant to the project.

Handled functional, regression, and database testing in an Agile team.

Enhanced the quality of the software by 40% through functional testing.

ACADEMIC PROJECTS:

Empathetic AI agent using Audio-Visual Features, Columbia University, New York, NY Jan 2020-May 2020

Extracted features from Audio-Visual data to classify features into 7 major emotions.

Applied the temporal variation in emotions based on facial expressions and voice modulation and how each modality affects the classification accuracy using VGGNet as CNN network to extract important features.

Integrated the classification model with a conversational chatbot that directs the conversation as per the classified emotion.

Speed Dating Data Analysis, Columbia University, New York, NY Aug 2019- Dec 2019

Performed Exploratory Data Analysis to understand the behaviour of dataset.

Applied Machine Learning classification algorithms like Random Forest, XGBoost, SVM to predict the possibility of a match

Designed a recommendation system to which improved the probability of finding a match by 22.4%.

Image Caption Generation using CNN and RNN, Columbia University, New York, NY Aug 2019- Dec 2019

Captioned images using transfer learning on Inception V3 network with CNN and RNN (LSTM) network

Used long short-term memory (LSTM) and Gated Recurrent Unit (GRU) units for optimizing the results and accuracy to 52%

Built big data pipelines on Google Cloud Platform (GCP)

Poker Hand, Columbia University, New York, NY Aug 2019- Dec 2019

Used Rule Acquisition with a Genetic Algorithm (RAGA), a Data Mining Technique to predict the rank of a set of cards.

Applied Feature Engineering and Feature Selection to improve the accuracy of the Machine Learning model using R.

Improved the test accuracy of Random Forest, XG Boost, SVM models by 38%.

TECHNICAL SKILLS AND COURSES:

Experienced in Python, Fastai, Pytorch, Kaldi, SQL, MATLAB (Certified), Unity, R, Apache Spark, Hadoop, Google Cloud Platform (GCP), Java, OpenCV, Github, Numpy, TensorFlow, Keras, Jupyter Notebooks, NoSQL

ACTIVITIES AND EXTRA CURRICULARS:

Headed the Marketing Team of the IEEE Student Chapter of SIES Graduate School of Technology.

Facilitated international internships for Socio-Economic development related projects at AIESEC, an international not-for-profit organization.

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