Shashank Achanta

About Shashank Achanta

I work at the intersection of business analysis and applied machine learning, where structured data becomes forecasting insight, KPI visibility, and measurable decision support. With over three years of experience across enterprise and academic data environments, I build reliable analytics workflows using SQL, Python, and cloud-based ETL pipelines.At CORtracker 360, I operate within production data environments using AWS Redshift, Aurora PostgreSQL, and S3. My work involves analyzing enterprise datasets, designing and optimizing ETL workflows using AWS Glue and Apache NiFi, and building reporting systems that translate operational data into actionable business intelligence. I support forecasting analysis, KPI reporting, and data-informed decision making while ensuring data integrity, governance, and performance reliability.Beyond traditional reporting, I design and execute applied machine learning pipelines using MLflow, Kubeflow, Airflow, and SageMaker. I work with Scikit-learn, TensorFlow, and PyTorch to develop predictive models for trend analysis and forecasting. My experience includes regression modeling, time-series forecasting, feature engineering, model validation, and integrating predictive outputs into dashboards and reporting layers. I focus on building reproducible, scalable systems aligned with real business needs.Earlier in my career, I worked with STAR schema modeling, SQL data warehousing, statistical analysis, and academic reporting environments. I have also built end-to-end applied ML and RAG-based projects combining SQL data, vector search, API ingestion, and predictive modeling to simulate production analytics systems. These experiences strengthened my ability to translate requirements into backend logic, schema design, reporting workflows, and decision-ready outputs.I approach analytics with structured thinking, measurable validation, and a focus on reliability. Whether working on ETL pipelines, predictive models, or dashboards, my goal is to ensure data systems are accurate, scalable, and aligned with business outcomes.I am open to connecting with recruiters, analytics leaders, and teams building data-driven systems in cloud environments. If you are looking for someone who combines SQL depth, applied machine learning, and ETL experience within enterprise workflows, I would welcome a conversation.

Experience

1. Software Developer

   CORtracker 360

   Oct 2024 — Present · US

   Engineer, code, and test software solutions utilizing C# and ASP.NET, ensuring optimal performanceand scalability• Work closely with software architects to create and implement scalable system designs, choosingsuitable technologies, and defining system components.• Diagnose and fix software bugs and performance issues using advanced debugging tools,maintaining high-quality application performance.• Connect.NET applications with databases, third-party services, and APIs, and manage thedeployment process for smooth installations and updates.• Produce detailed documentation, including code comments, user manuals, and technical guides,and deliver technical support and training to end-users and team members.• Stay up to date with the latest advancements in the.NET framework and software developmentbest practices, continually improving skills and application quality.

Education

• Anil Neerukonda Institute Of Technology & Sciences

  Bachelor of Engineering - BE, Mechanical Engineering

• University of Central Oklahoma

  Master's degree, Business Analytics

  2022