A focused and goal-oriented professional with nearly 2 years of experience in Machine Learning, Statistics & Data Analysis. Experienced in data preparation using Pandas & Numpy. Excellent understanding of Tableau, SQL Server, MATLAB, SAS, Python, R, OOPS with R6, Matplotlib. Capabilities to lead tasks which involve the use of Advanced Modeling Techniques – Regression & Machine Learning, to provide actionable results and influence business decisions. Excelled in customer service, client interfacing and market analysis with caliber to perform excellently on individual projects and cooperatively in teams. Excellent analytical skills from experience including data manipulation and statistical analysis. Robust knowledge of Statistics, including detailed knowledge of Statistical Methods, Data Analysis and Forecasting Methods. Knowledge of Optimization Techniques (MATLAB), Internet of Things, Data warehousing (Big Data in SQL), Applied Mathematics, Natural languages technologies (Python) and Quality management in IT. Worked on various projects such as Multi Class Classification using K Nearest Neighbors, Predictive Modelling of Fiber Separation under various climatic conditions and Segmentation of Store License Status. Proven knowledge in applications such as Python (Numpy, Sklearn, Pytorch, Tensorflow). Understanding of working on data cleaning, regression and clustering of data using libraries in R such as dplyr, tidyr, stats, ggplot2. Professional excellence in performing mathematical programming, data mining, machine learning, modeling & simulation by utilizing software such as R, and Python.
