Data Scientist

EDUCATION

University of Illinois at Chicago, Chicago, IL Aug 2018 – May 2020

Master of Science in Computer Science (3.82/4.0)

Coursework: Advanced Machine Learning, Advanced Computer Vision, Deep Learning for NLP, Artificial Intelligence, Data Mining & Text Mining, Neural Networks, Intro to Machine Learning, Database Systems, Development of Mobile Apps Indian Institute of Technology Kharagpur, India Jul 2012 – Jul 2016 Bachelor of Technology (Hons.) in Agricultural and Food Engineering (7.85/10.0) Coursework: Programming and Data Structures, Probability and Statistics, Partial Differential Equations SKILLS AND EXPERTISE

Languages Python, Java, R, SQL

Tools MATLAB, AWS S3, AWS EC2, MySQL, Android Studio, Excel, PowerPoint ML Frameworks PyTorch, Tensor Flow, Keras, Scikit-Learn, CUDA, OpenCV, NLTK, Gensim, SpaCy, Pandas, NumPy, Seaborn ACADEMIC PROJECTS

Face Generator using DCGAN May 2020 – June 2020

• Built a pipeline to process real world user-supplied images, trained a DCGAN discriminator and generator on CelebA dataset to generate fake human faces.

Text to Image Translation using Mirror GAN Jan 2020 – Apr 2020

• Addressed semantic consistency between text descriptions and visual content by implementing CNNs and attention model

• Improved Inception and R Precision scores by 10% by using BERT model to generate word embeddings Validating the Efficacy and Robustness of Neural Structured Learning Mar 2020 – Apr 2020

• Implemented Tensor Flow’s NSL framework as Neural Graph Learning and as Adversarial Learning; Increased accuracy approximately by 20% and 50% respectively

• Synthesized similarity graphs for datasets without natural graphs and used RNN and CNN Architectures as base models Predicting Song Similarity using Deep Neural Networks Oct 2019 – Nov 2019

• Explored the idea of lyrics representing songs by implementing the technique of One-Shot Learning using Siamese architecture with LSTM/GRU as base models to determine whether two songs are similar or not

• Extracted Track IDs from Last FM, Million Song datasets and lyrics using MusixMatch APIs Performance of classification models on Twitter Sentiment Analysis Mar 2019 – Apr 2019

• Built XGBoost, SVM, Regression and LSTM classification models to classify tweets, used SMOTE sampling technique, deployed model on AWS and created a simple web app that classifies a tweet PROFESSIONAL EXPERIENCE

University of Illinois at Chicago - IT Department, College of Liberal Arts & Sciences – Graduate Assistant Mar 2019 – May 2020

• Extracted and built a dataset of ~25,000 data points of IT support request tickets

• Implemented LSTM models to predict and forecast number of tickets for each department to allocate human resources with 87% model accuracy

• Collaborated with senior management, established KPIs to monitor trends and provided strategic insights improving process efficiency by 20%

• Managed an inventory database of over 700 computers using SQL with their recent locations and upgraded configurations Crisil Limited, An S&P Global Company, Chennai, India – Graduate Trainee/Research Analyst Sep 2016 – Aug 2017

• Published and maintained Private Equity Indices on Bloomberg and Thomson Reuters

• Designed and facilitated a 3-way platform b/w Quants, Middle Office and 3rd party agents to calculate and reconcile indices

• Set up 15 new indices on Bloomberg that outperformed the market approximately by 14%

• Received Crisil’s CLAP Award and also nominated for Crisil Bright Spark Excellence Award ACHIEVEMENTS AND CERTIFICATIONS

• Graduated Udacity Deep Learning Nanodegree Program

• Received ‘B’ Certification from National Cadet Corps, India, for two-year volunteer services as an EME cadet

• Finalist in Chess Championship held by Magna Chess Academy, Hyderabad, India Sudheer Kumar Reddy Beeram

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