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.