Sri Aasam

About Sri Aasam

I am a Computer Science engineer currently working as an Associate Software Engineer at Accenture, where I build scalable, efficient solutions using C#.NET, SQL, and Power BI. I develop applications and tools using C#/.NET, enabling smooth business workflows and backend processes. Alongside, I design interactive Power BI dashboards that consolidate data from multiple sources, turning complex datasets into actionable insights that support faster and smarter decision-making across teams. By combining development with data visualization, I deliver solutions that are both robust and user-friendly. Previously, I interned at ISRO, where I developed weather time-series forecasting models (ARIMA/ARIMAX) and automated large-scale Python workflows. These experiences strengthened my skills in data preprocessing, feature engineering, and model validation, and allowed me to apply ML to real-world problems. I have solved 370+ LeetCode problems, maintained a consistent coding streak, and actively explore System Design (HLD) to deepen my understanding of scalable distributed systems. Beyond work, I enjoy applying my technical skills to ML and data analysis projects, which help me experiment, learn, and innovate continuously. I am passionate about solving complex problems, building systems that scale, and learning new technologies. I thrive in challenging environments, enjoy collaborating with teams to deliver impactful solutions, and aim to grow as a Software Development Engineer, contributing to top product and fintech companies.

Experience

1. Associate Software Engineer

   Accenture

   Oct 2024 — Present · Bengaluru, IN

   Developed and maintained interactive Power BI dashboards, improving business data visibility and decision-making across teams. • Optimized DAX calculations and Power Query data pipelines, reducing report load times by up to 40%. • Collaborated with cross-functional stakeholders to gather requirements and translate them into scalable analytics solutions. • Automated data validation processes, improving data accuracy and reducing manual effort by 25%. • Utilized SQL and Power BI to integrate multiple data sources, enabling comprehensive and real-time reporting.