Assistant Engineering

ANUSHRI ARORA

732-***-**** New York, NY ***** www.linkedin.com/in/anushri-arora/ https://github.com/anushri10 Education

Columbia University New York, NY Jan 2020 - May 2021 (Expected) Master of Science in Computer Science – Machine Learning Track Coursework: Applied Deep Learning, Algorithms, Computational Genomics Mukesh Patel School of Technology Management & Engineering, Mumbai, India July 2015 - April 2019 Bachelor of Technology in Computer Engineering CGPA: 3.82/4 – Top 5% of Undergraduate Cohort. Technical Skills

• Programming Languages & Software’s: C, C++, Python (NumPy, Scikit-Learn, Pandas), Matlab, PyTorch, Keras, BERT, TensorFlow

• Web Technologies: HTML, CSS, JavaScript, Bootstrap, Flask, Django

• Other: Command Line (Linux/Unix), Git, Google Cloud Platform (GCP), OpenCV Professional Experience

Data Science Institute, Columbia University, New York, NY Research Assistant (Summer Scholar) June 2020 – Present

• Working under Prof. Barun Mathema to realize insertion effects in Multi Drug Resistant Tuberculosis genome sequences. Pe’er Lab, Columbia University, New York, NY Graduate Research Assistant Jan 2020 – Aug 2020

• Built a generative graphical (Deep Hidden Markov Model) model for inferring spatial & temporal bacteria-tumor interactions from video sequences.

• Devised a Convolutional Variational Auto-Encoder for latent representation of system dynamics.

• Implemented Bayesian Deep Neural Networks to learn a Probabilistic Temporal Spatial Lotka-Volterra formulation & effectively parameterize the underlying data distribution.

IIT Bombay- CFILT (Centre for Indian Language Technology) Lab, India (Github_Codebase_1, Github_Civis ) June 2019 – Dec 2019 Applied ML & NLP Research Intern - Under Prof. Ganesh Ramakrishnan & Prof. Sunita Sarawagi.

• ML lead (Team of 5) for the Microsoft funded project – Venter: A Weak Supervision based Text Classification & Inference System.

• Designed & developed a data cleaning, exploration & classification pipeline for over 40,000 citizen feedbacks/complaints.

• Deployed learnt LSTM model to achieve real time complaint & sentiment classification for Indian government funded organizations i.e. CIVIS & I Change My City in the Bangalore district with over 100,000 users – resulted in expedited actionable response for civic complaints.

Data Voice Solutions Pvt. Ltd. Mumbai, India Backend & Android App Development Intern June 2017 – July 2017 A startup which provides a plethora of IT solutions to corporates in India as well as the US. Worked on two tracking applicat ions.

• Bussman2 & CabApp – Created an online database for customer profiles. Integrated the same with real time queries regarding status (drop & pickup). Used the Google Map API for real time tracking. Also built a custom view where each route was encoded using a specific color.

Accenture Services Pvt. Ltd. Delhi, India Intern – Robotic Process Automation (RPA) May 2016 – July 2016

• Built RPA training modules by automation of a credit card transaction system utilizing Automation Anywhere software. Academic Projects & Papers

Detecting Stages of Depression Using AI (Published IEEE link)

• Performed classification on EEG signals (of the DEAP dataset) using a multi-class SVM & custom Keras based Deep Neural Networks (DNN) where the highest accuracy of 98.05% was observed with the aim of locating pervasive & universally similar characteristics that define emotions. Optical Character Recognition for Handwritten Forms with Dynamic Layout (Published IEEE link)

• Adopted a novel localized zonal method of processing tagged form field types (numeric/ alphanumeric). Made use of 2 custom CNNs (built on Keras – numeric & alphanumeric) that performed recognition with accuracies of 97.2% & 76.8% using the EMNIST balanced dataset. Stood first & won a cash prize of INR 100,000 for presenting a solution during Mastek’s Deep Blue Season 3 Hackathon.

Autonomous Attendance Management System Using Facial Recognition.

• Developed a novel face recognition software that could identify multiple skewed faces in an image. Made use of dlib, a deep neural network (built on Keras) & a linear SVM that gave an accuracy of 85% on a custom dataset of 31 people (656 images). Presented this solution as a part of the RaEng (Royal Academy of Engineering, UK) - MPSTME Tech Challenge, that took place on 15th of January 2018 - stood 1st and won a cash prize of INR 100,000. Extra-Curricular Activities

Co-founder Project Zeen (2016-2017) under Enactus - a community of students, academic & business professionals that transform lives through entrepreneurial action.

• Project focuses on helping farmers of drought struck regions of Maharashtra by forming a channel between urban dwellers, farmers & government officials. Spearheaded the creation of a secondary revenue system for farmers by formulating inexpensive technological solutions (Bioplastics, Atmospheric Water Generator) thereby improving lifestyle conditions & reducing premature mortality rates.

• Currently running as a pilot in Palghar District, Maharashtra, India. Asia Pacific Broadcasting Unit (ABU) – Robocon (2015-2017) – Simulations & Mathematical Modelling Dept Head (2016-17)

• First runner up for the best use of Matlab & Simulink at the national competition for two years 2016 & 2017.

• Created a plethora of Image Processing, System, Speed & Navigation control algorithms. Deployed logic on target hardware

(Arduino & Raspberry pi) for semi-automated motion control of the robot & actuation of geared mechanisms.

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