Welcome! I am a highly experienced Data Scientist with a proven track record of over 11 years in the realms of Data Extraction, Modeling, Wrangling, Statistical Modeling, Data Mining, Machine Learning, and Data Visualization. My domain expertise spans Retail, Banking, and Manufacturing industries, where I've been instrumental in translating business resources into robust data formats and analytical models.I specialize in designing algorithms, constructing models, and developing data mining and reporting solutions that seamlessly scale across massive volumes of both structured and unstructured data. Throughout my career, I've successfully managed entire data science project life cycles, actively participating in phases such as data acquisition, cleaning, engineering, scaling, statistical modeling, testing, validation, and data visualization.My proficiency extends to Machine Learning algorithms and Predictive Modeling, including Regression Models, Decision Trees, Random Forests, Sentiment Analysis, Naïve Bayes Classifier, SVM, and Ensemble Models. Additionally, I am well-versed in Statistical Methodologies such as Hypothetical Testing, ANOVA, Time Series Analysis, Principal Component Analysis, Factor Analysis, and Cluster Analysis.I bring a deep understanding of time series analysis using AR, MA, ARIMA, GARCH, and ARCH models, coupled with expertise in Natural Language Processing (NLP) algorithms and Text Mining. Operating in large-scale database environments like Hadoop and MapReduce, I am adept at navigating Hadoop clusters, nodes, and the Hadoop Distributed File System (HDFS).With a strong command of Python, I craft analytic models and solutions that push the boundaries of what's possible in the world of Generative AI. I am passionate about leveraging technology to unravel insights from complex datasets and drive transformative outcomes. Let's embark on the journey of turning data into actionable intelligence together!Lets connect to discuss more.
