Biography

I have completed my Ph.D. at The University of Texas, San Antonio. Around 5+ years of Research & Development experience working as a Research coordinator focusing on Data Ingestion, Data Analytics, Data Visualization, Strategic planning, Data Filtering, Process Designing, and Data Preprocessing. Extensive hands-on experience and high proficiency with semi-structured, structured, and unstructured data, using a broad range of data science programming languages and big data tools, including Python, Scikit Learn, and R. Experience retrieving Unmanned Aerial Vehicle (UAV) image data from hybrid data sources using Tableau and creating the dashboards for the reports. Strong software application skills (MS Excel, Access, Powerpoint, Word, Project), Agile, and problem-solving skills. Proficient in Machine Learning and Deep Learning algorithms for multiple applications like Biomedical Diagnosis, Autonomous Vehicles, Power Systems, and Architectural, including Computer Vision, Intelligent System Design, and Image Processing. Experience in developing complex User Defined Functions (UDF) using python to handle nested Digital Imaging and Communications in Medicine (DICOM) data. Strong coding ability in debugging, clean and efficient code, with an understanding of large databases and code bases. Familiar with open cloud technology for connecting the database in pipeline strategies, batch normalization, and code applications. Comprehensive knowledge in quantitative and qualitative analysis and statistical techniques such as Linear Regression, Correlation Analysis, Logistic Regression, Clustering, Decision tree, Random Forest, and Time Series Data Prediction. Experienced in python data manipulation, filtering, loading, and extraction with the python libraries Numpy, Scikit learn, Scipy, Pandas, Keras, Tensorflow, and Pickle for data analysis and numerical computations. Executed data analysis and visualization with univariate analysis using Python (Pandas, NumPy, Seaborn, Sklearn, Keras, TensorFlow, and Matplotlib). Experience handling production jobs, performing initial triage, identifying immediate and permanent fixes based on the root cause analysis for all the production defects, and providing hot fixes. Hands-on knowledge in designing Database schema by achieving batch normalization. Experience in handling various file formats, including CSV, txt, and dat file formats. Proficient in all phases of the Software Development Life Cycle (SDLC), including Requirements Analysis, Design, Reviews, Coding, Unit Testing, and Integration Testing.