Hi there! I am an accomplished data scientist with expertise in machine learning and AI who is currently attending MS Data Science at Duke University. My work experience includes:
Outside of work, I enjoy playing chess and badminton.
MS in Interdisciplinary Data Science, 2021
Duke University, USA
BS in Computer Science and Engineering, 2017
Visvesvaraya Technological University, India
Supervised and unsupervised learning algorithms.
CNNs, RNNs, and GANs.
Tableau, ggplot, matplotlib, and seaborn.
Python, R, C, C++, and Java.
Command line, Git, LaTeX, and Markdown.
SQL (strong) and NoSQL (intermediate).
Built an algorithm to quantify noise in fax scans that reduced the time of the OCR system by 85%.
Quantized an image-denoising CNN reducing the time, space and power consumption of the model by 4x.
Tools used: Python, PyTorch, OpenCV, and AWS.
Conceptualized and implemented learning goals, lesson plans, assessments and programming assignments that improved course ratings of the Data Science and Machine Learning & AI courses by 15% and job placement rate of students of the programs by 133%.
Created modules on deep neural networks, machine learning, natural language processing and Bayesian networks that increased revenue of this one-year online program by $500,000 and helped it become #1 in India.
Built high-quality data science courses through collaboration with professors, subject matter experts, product managers, and editing and tech teams, and drove the net promoter score from +25% to +60% in under a year as a result.
Leveraged knowledge in CRISP-DM framework, data analysis, visualization, machine learning and AI by creating projects such as Telecom Churn Analyses, Patient Readmission Prediction, Neural Network Story Generator and Email Spam Detection.