About Me

Hi, I’m Sankarsh Nellutla

I transform complex datasets into strategic insights that drive product and business decisions. With over two years of experience in data engineering, analytics, and data science, I build scalable ETL architectures, develop machine learning models, and present findings through clear, actionable dashboards.

Data Journey

Discovery (2021–2022)
I began by automating data preprocessing and feature engineering for sentiment analysis and health prediction projects, gaining a foundation in data cleaning and model evaluation.

Development (2022–2023)
At Shiash Info Solutions, I designed and launched ETL frameworks that reduced data preparation time by 50% and created interactive dashboards to communicate key insights to stakeholders.

Scaling (2024)
With NG Talent Tech, I architected AWS-based pipelines processing over 2 million records daily, implemented CI/CD workflows, and maintained 99.9% data pipeline uptime.

Innovation (Present)
I’m exploring causal inference techniques, MLOps best practices, and advanced BI architectures to enhance data reliability and foster informed decision-making.

Professional Experience

Data Engineer Intern, NG Talent Tech | Frisco, TX
Feb 2024 – Dec 2024
- Developed and maintained end-to-end data pipelines using Python, SQL, Airflow, and AWS services.
- Automated monitoring and alerting systems, reducing manual intervention by 40%.
- Integrated CI/CD with GitHub Actions to streamline deployment of data workflows.

Data Science Intern, Shiash Info Solutions | Chennai, India
Aug 2021 – Dec 2022
- Led data cleaning and feature engineering for classification and regression models, improving accuracy by 12%.
- Built and validated machine learning models (Random Forest, Logistic Regression, KNN) with cross-validation.
- Designed Tableau dashboards to visualize model outcomes and support executive decision-making.

Core Expertise

  • Scalable Data Pipelines: Python, SQL, Airflow, dbt
  • Data Analysis & Visualization: pandas, Tableau, Power BI, Plotly
  • Machine Learning: scikit-learn, AWS SageMaker, AWS Lambda
  • Product Analytics: Cohort Analysis, Funnel Analysis, A/B Testing
  • Cloud & DevOps: AWS (S3, Redshift, Lambda), Docker, Git

Education

M.S. in Data Science
University at Buffalo, NY (2023–2024)

B.Tech in Computer Science Engineering
Vellore Institute of Technology, Andhra Pradesh, India (2019–2023)

Personal Interests

Outside of work, I enjoy writing technical articles on my blog, experimenting with productivity workflows, and exploring the latest open-source data tools.

Interested in collaborating or discussing data-driven solutions? Let’s get in touch!