Sri Varshan

Business Analyst

Bengaluru, Karnataka, India2 yrs experience

Key Highlights

Achieved 20% better planning accuracy.
Reduced billing errors by 40%.
Delivered insights that accelerated reporting by 40%.

Stackforce AI infers this person is a Data Analyst with expertise in data-driven decision-making within the utilities sector.

Contact

Skills

Core Skills

Data AnalysisSqlProblem SolvingData VisualizationReportingData CleaningPythonFeature EngineeringData Pipeline Design

Other Skills

Microsoft ExcelCreative WritingOnline WritingPython (Programming Language)Business Intelligence (BI)JiraGoogle SheetsMicrosoft Power QueryMicrosoft Power BIExtract, Transform, Load (ETL)Data ModelingSpotify APIMachine LearningScikit-LearnAnalytical Skills

About

I’m a Data Analyst leveraging 2 years of experience skilled in SQL, Python, Power BI and Tableau using data quality checks, dashboards, and KPI insights to help teams make fast, accurate decisions. I’ve driven measurable impact—20% better planning accuracy, 40% fewer billing errors, 30% reduced data issues, and 40% faster reporting in my current role. My work spans analytics, data validation, stakeholder collaboration, and building clear dashboards that translate data into action. I focus on clean data, clear insights, and solving problems that matter.

Experience

2 yrs

Total Experience

1 yr 9 mos

Average Tenure

2 mos

Current Experience

Stripe

Payments Analyst

Mar 2026 – Present · 2 mos · Bengaluru · On-site

Medium

Content Writer

Sep 2024 – Feb 2025 · 5 mos · Bengaluru, Karnataka, India

Written engaging and informative articles on Data Analytics, Data Science and Machine Learning for Publications

Creative WritingOnline Writing

Arcadia

Data Analyst

May 2024 – Mar 2026 · 1 yr 10 mos · Chennai · Hybrid

Analyzed high-volume utility billing data, increasing planning accuracy 20% through trend validation and structured information management.
Investigated customer-support query patterns, surfacing recurring issues and shaping product adjustments that strengthened service outcomes.
Reduced billing discrepancies 40% by detecting anomalies, refining quality checks, and improving upstream data flows across distributed teams.
Delivered executive reporting templates that enhanced cross-functional visibility into operational KPIs and supported data-driven decisions.
Eliminated 30% of repeated data-quality concerns by tracing root causes in dynamic environments and deploying corrective standards to maintain dataset integrity.

SQLMicrosoft ExcelData Analysis

Datastride analytics

Data Analyst Intern

Feb 2024 – Apr 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

Validated data accuracy across 100% of input records as measured by error-free downstream usage by executing end-to-end data cleaning and ETL operations using advanced Python (pandas) and SQL techniques to ensure consistency and integrity.
Boosted model performance by 35% as estimated by accuracy and reduced data-related errors by architecting custom preprocessing and feature engineering functions within an AI analytics platform using pandas and scikit-learn.
Shortened data processing time by 30% as evidenced by faster pipeline execution benchmarks by orchestrating the design of a high-performance data pipeline that enabled quicker insights delivery and supported real-time decision-making.

Data CleaningPython (Programming Language)Python