I started coding at the age of 16. In graduation, I started learning Python and R. I probably think this affection introduced me to the world of Data Science and persuaded me to build a career in this field. I am a data analyst with 2.5+ years of experience in Data Analytics, Machine Learning, deep learning, and Data Visualization techniques. My current role includes: Designing and maintaining data systems and databases which include MySQL, SQL Server, Redshift, Snowflake, Athena, BigQuery, Hive, MongoDB, Postgres, Teradata, Synapse Identify trends and opportunities for growth through analysis of complex data sets. Develop, implement, and maintain leading-edge analytic systems, taking complicated problems, and building simple solutions. Building complex ELT/ETLs tasks using SQL and enterprise-level tools like Matillion, DOMO, Azure Data Factory, and automate them using Airflow. Create reports and dashboards that effectively communicate trends, patterns, and predictions using relevant data using tools like Power BI, ThoughtSpot, DOMO, Data Studio, and Tableau. Building ML models in Python and R with in-depth knowledge of ML Algorithms, Probability and Statistics, Data Mining, Cleaning, Modelling, and Evaluation. Implement best practices using optimized methods in SQL and ML (Supervised, Unsupervised, and Reinforcement learning) Building End-to-End solutions on cloud platforms like AWS, Google Cloud, and Azure using their native or third-party hosted applications and tools. My skills include: Python: Advanced A deeper knowledge of python data structures and Object-oriented programming. Highly familiar with various Python libraries like Flask, Airflow, various RDBMS Connectors. Machine Learning: Intermediate Excellent knowledge of: ML algorithms and problems like Regression, Classification, and Clustering. Natural Language Processing and Deep learning. Statistics and Probability. Libraries like sklearn (scikit learn), Pandas, Numpy, TensorFlow, Keras, Matplotlib, and Seaborn SQL: Advanced DML, DDL, Complex Procedures and UDFs, Optimized Queries, ETL/ELT. Experience in Snowflake, Athena, BigQuery, Hive, SQL Server, MySQL, MongoDB, PostgreSQL, Azure Synapse, Teradata, and RedShift. Visualization: Advanced Tools like ThoughtSpot, Domo, Power BI, Data Studio, Tableau, and Grafana.
Profile
©