Srikalpa Kruthiventi

I am a Data Analytics Engineer with over 2 years of industry experience, specializing in transforming raw data into strategic business insights. My professional background spans data analysis, software development and dashboard design, with hands-on roles at Verizon Data Services, Upwork, and multiple internships during my academic journey.

At Verizon Data Services (Jul 2022 – Aug 2023), I worked as a Software Developer, where I conducted in-depth data analysis to optimize app performance, reduced defects by 10% through high-quality code development, and enhanced the accessibility of the MVA3.0 application.

During my internship at Verizon (Feb 2022 – Jun 2022), I improved feature tracking by enhancing the Bug Report tool and conducted A/B testing to guide product decisions with data.

In 2025, I joined Upwork as a freelance Data Analyst, where I design and maintain dynamic dashboards using Power BI and Tableau, while also performing regression and statistical analysis using Python and Excel for remote clients. This experience has sharpened my ability to deliver value remotely while adapting to different client needs.

My earlier internships at The Sparks Foundation and CodeSpeedy Technologies involved hands-on data science and machine learning projects, including trend analysis and real-time computer vision applications using OpenCV.

I hold a Master’s in Data Science from Singapore Management University and a Bachelor’s in Computer Science from Amrita Vishwa Vidyapeetham. My skill set includes:

• Languages & Tools: Python (Pandas, NumPy, PySpark), SQL, Excel, Power BI (DAX, Power Query), Tableau, dbt
• Cloud & Data Platforms: Azure (Synapse, Data Factory, Fabric), GCP (BigQuery), Snowflake
• Others: Git, Jira, Agile, Docker, ETL pipelines, Data Warehousing

Certified in PL-300, DP-600, and Azure Fundamentals, I bring both theoretical knowledge and practical expertise to each project.

I’m passionate about solving complex problems through data and continuously strive to improve business intelligence systems, automate analytics workflows and make data actionable.