I possess a strong quantitative aptitude and am driven to apply the statistical and engineering concepts I've learnt over the last few years to solve real-world problems. An ideal professional experience for me would comprise a steep learning curve, opportunities to interact with and learn from industry leaders, and cultivating a strong relationship with a mentor.
Computer Languages : Python (NumPy, Pandas, Scikitlearn, PyTorch, NLTK), R (ggplot2, dplyr), C/C++, MATLAB, Julia
Database & Big Data : MySQL, PostgreSQL, PySpark, Teradata, Hadoop, Hive, PySpark
Statistics & ML : Classical ML (Clustering, Regression Analysis), Hypothesis testing, A/B testing, Causal Inference
Tools : Tableau, Linux, Shell Scripting, MS Excel, Git
Georgia Institute of Technology Atlanta, GA, USA
MS in Computational Science and Engineering
Grade: 4.0/4.0
Relevant Coursework: Computational Data Analytics, Computational Science and Engineering Algorithms, Regression Analysis, Numerical Linear Algebra, Modeling and Simulation, Natural Language Processing, Big Data Systems & Analytics
Indian Institute of Technology Hyderabad Hyderabad, TN, India
BTech in Mechanical Engineering
Grade: 9.2/10.0
Relevant Coursework: Probability, Statistics, Linear Algebra, Mathematical Methods, Modeling and Simulation, Operations Research, Industrial Engineering, Production Planning and Control
Health Analytics Centre, Georgia Tech ISyE Atlanta, GA, USA
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