Sai K.

About Sai K.

With Around 1.5 years of industrial experience specializing in big data analysis, I bring a proven track record of transforming raw data into actionable insights. My expertise spans a range of skills, including data mining, statistical inference, A/B testing, machine learning, and ETL data pipelines. Proficient in SQL, with a focus on MySQL and MS SQL Server, I excel in crafting stored procedures and complex queries for insightful reporting. Leveraging Tableau, I design dashboards that facilitate strategic decision-making for diverse stakeholders. My proficiency in Python covers the entire data science project lifecycle, from data acquisition and cleaning to exploration and modeling using Pandas and Scikit-learn. I have hands-on experience in statistical analysis, hypothesis testing, and machine learning model development, applying techniques such as Linear Regression, Logistic Regression, Random Forest, XGboost, K-means, KNN, and Neural Networks. Additionally, I have worked with NoSQL databases and big data tools like Hadoop, Hive, and Spark. My cloud platform familiarity includes AWS and Google Cloud, complemented by Shell Scripting and version-control proficiency in Linux and Git. In my most recent role at Denken Solutions, I designed and maintained MySQL databases, performed statistical analysis, built ETL pipelines for NoSQL databases, and developed dashboards in Tableau. I am driven by a detail-oriented and results-driven approach, with a demonstrated ability to translate business requirements into technical solutions. I am actively seeking new opportunities to apply my skills and contribute to innovative projects. Let\'s connect and explore how I can bring value to your team! Skills: Data Visualization: PowerBI, Tableau, seaborn, ggplot2, pandas, NumPy, scikit-learn, TensorFlow, keras IDE: Jupyter Notebook, Google Collab, Visual Studio Code Cloud: GCP (Big Query, Kubernetes), AWS (EC2, S3, RDS RedShift, EMR) Machine Learning: Regression, Classification, Clustering, Dimensionality Reduction, Deep Neural Networks. Web Technologies: HTML, CSS, JavaScript Version Control: Git, GitBucket. Database & Data Warehouse: MySQL, PostgreSQL, MS SQL Server, MongoDB, Hive, Presto, AWS RDS, AWS Redshift, AWS Redis, Big Query. MS Office and Tools: Word, PowerPoint, Excel, Hadoop, Apache Airflow, Apache Spark, Flask, Apache Kafka, Docker, Kubernetes.

Experience

1. Data Engineer

   DISH TV

   Jan 2025 — Present · Denver, CO, US