I am a dedicated professional with a proven track record of successfully leading and overseeing pivotal data science programs and projects for FedEx (a Fortune 50 organization). As a dynamic and motivational leader, I specialize in architecting robust data processes and pipelines, fine-tuning systems for maximum efficiency, and driving significant process enhancements. My strength is cultivating enduring relationships with stakeholders, allowing me to understand their requirements and effectively address critical challenges deeply.I thrive on innovation, employing cutting-edge technologies and leveraging out-of-the-box thinking to surpass expectations consistently. My passion for productivity drives me to excel in every endeavor.My accomplishments are underpinned by my exceptional educational background, which includes a Postdoc at St. Jude Children's Research Hospital and a Ph.D. in Electrical and Computer Engineering from the University of Memphis, complemented by industry-leading training in data science.𝗙𝗶𝗲𝗹𝗱𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲/ 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 (𝟱 + 𝘆𝗲𝗮𝗿𝘀):• Machine Learning: Classification, Regression, Clustering, Ensemble modeling, NLP, LLM, LDA, PCA, GMM & EM Algorithm• Deep Learning: PyTorch, Keras, TensorFlow, ANN, CNN, RNN, and LSTM• Audio and Computer vision libraries: Librosa, PyAudio, and OpenCV• Data Visualization: Matplotlib, Seaborn, Pandas Visualization, ggplot, Plotly, and t-SNE• Programming Languages: Python, R, SAS, Java, Matlab, SQL, C, and C++• Hardware Description Language: HDL and Verilog• Operating System: Windows, Linux, and macOS• EDA Software: OrCAD, Pspice, Multisim, Quartus • HPC, GPU, Shell Scripting, Git Version Control, Docker, and Project Management• Cloud Computing: Google Cloud, Apache Spark, PySpark, and Microsoft Azure Databricks Tools/Software: Toad Data Point, Teradata Studio Express, SQL server management studio, Power BI, Tableau, and CI/CD
