
Results-driven Statistical Analyst with an in-depth knowledge of data science principles and techniques. Skilled in leveraging statistical tools to develop, analyze, and interpret complex data. Completed higher study in the United Kingdom at the University of Stirling with an MSc in Artificial Intelligence. Having around 4 years of experience in Python, Data Science basics, and Django, UNIX. Good knowledge of Database concepts, SQL, Python, Machine Learning, Tableau data visualization. Experienced in Exploratory Data Analysis, Univariate and Multivariate Analysis, Regression Analysis, and Predictive Analytics. Good exposure to Stochastic Processes and Optimization. Good exposure to Statistics for Data Science. Good exposure to TensorFlow, NLP, and Deep learning. Good exposure to Data Wrangling in Python using NumPy and Pandas. Good working experience in Machine Learning - Linear Regression, Logistic Regression, CART and Random Forest, Decision Tree, Clustering, ARIMA Model for Forecasting. Strong analytical, problem-solving & solution abilities Basic understanding of Django. Python, Tableau, SQL, and Django. Python Packages & Libraries - NumPy, Pandas, Matplotlib, TensorFlow deeplabv3, Python. Data Validation & Model Evaluation, Data Visualization, Building & Training ML models. Build exploratory data viz pipelines for quick visual diagnosis. Extract structured tidy data from unstructured text logs. Identify root causes for yield defects. Data Scientist is familiar with gathering, cleaning, and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic, and other analytical techniques. Highly organized, motivated, and diligent with a significant background