Having around 5 years of Data Analyst experience possesses a strong foundation in data analysis, statistical techniques, and data visualization.• Good knowledge of Software Development Life Cycle (SDLC) and various methodologies such as Agile and Waterfall.• Demonstrated expertise in relational databases, with a proven track record of creating complex queries and performing optimizations using SQL.• Skilled in extracting, cleaning, and transforming large datasets from various sources using SQL, Excel, and Python to ensure data accuracy and integrity.• Experience of Artificial Intelligence/Deep Learning/Machine Learning, Data Mining and Statistical Analysis.• Proficient in applying advanced analytics techniques, including machine learning, deep learning, and natural language processing, to solve complex business challenges.• Skilled in data acquisition, cleaning, and transformation, with a strong command of data manipulation libraries such as Pandas, NumPy, and SQL.• Demonstrated expertise in building and fine-tuning machine learning models for regression, classification, and clustering, using Scikit-Learn, TensorFlow, PyTorch, PyCharm.• Proficient in applying NLP techniques for sentiment analysis and extracting insights from unstructured text data, improving decision-making processes.• Experienced in creating compelling data visualizations and dashboards using tools such as Matplotlib, Tableau, and Power BI to convey insights effectively.• Familiarity with big data technologies, including Hadoop, Spark, and AWS services, for efficient handling and analysis of large-scale datasets.• Track record of delivering actionable insights and data-driven solutions to clients through statistical analysis, model evaluation,and impactful presentations With Data Modelling, Data mining, Data Visualization, Data Cleaning, Data manipulation, Data Visualization, Data Cleaning, Data manipulation.• Proficient in data visualization tools such as Tableau or Power BI to create compelling visualizations, dashboards, and reports.• Proficient in analyzing complex datasets, identifying patterns, and extracting actionable insights to support business decision-making.• Understanding of Data Warehousing concepts, Data Analysis, Data Warehouse Architecture, and Designing.• Collaborates effectively with cross-functional teams to understand business requirements and translate them into data analysis tasks.• Strong attention to detail, ability to manage multiple projects and meet deadlines, while maintaining data integrity and quality standards.
