Aviral Verma

Data Analyst

Gurgaon, Haryana, India6 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building end-to-end BI solutions.
Strong foundation in data modeling and DAX.
Passionate about integrating AI tools in analytics.

Stackforce AI infers this person is a Data Analytics Engineer with expertise in BI solutions and cloud technologies.

Contact

Skills

Core Skills

Power BiAzure Data FactoryGoogle BigqueryDevopsTeam Management

Other Skills

AI Copilot StudioAdobe AnalyticsAmazon Web Services (AWS)Analytical SkillsApache AirflowAppDynamicsArtificial Intelligence (AI)Big DataBitbucketBootstrapBusiness AnalysisCode ReviewCommunity DevelopmentCommunity OutreachCore Java

About

I’m a Data Analytics Engineer with hands-on experience in building end-to-end BI and data engineering solutions using Power BI, Azure Data Factory, Microsoft Fabric, and AI Copilot Studio. My work focuses on transforming complex datasets into actionable insights, enabling data-driven decision-making across energy, retail, and manufacturing industries. With a strong foundation in data modeling, DAX, and Azure-based data integration, I design scalable, automated, and intelligent reporting ecosystems that drive measurable business outcomes. I’m passionate about integrating AI tools and cloud technologies to modernize analytics workflows—making them faster, smarter, and more insightful. Core Strengths: Power BI | Azure Data Factory | Microsoft Fabric | AI Copilot Studio | SQL | DAX | Dataflow | Airflow | BigQuery | Python | ETL Automation | Data Modeling | Data Visualization

Experience

6 yrs 8 mos

Total Experience

1 yr 9 mos

Average Tenure

3 yrs 11 mos

Current Experience

Publicis sapient

3 roles

Associate Data Analytics L2

Promoted

May 2024 – Present · 2 yrs 1 mo · Hybrid

Key Achievements & Responsibilities:
Designed and developed enterprise-scale BI solutions using Power BI and Azure Data Factory, integrating multi-source data for real-time reporting.
Built AI Copilot workflows to automate report generation, data insights, and natural-language Q&A in Power BI Service.
Created and managed data pipelines in Microsoft Fabric for ingestion, transformation, and modeling using Dataflows and OneLake integration.
Engineered optimized data models and advanced DAX measures, improving dashboard refresh efficiency by 30%.
Implemented incremental refresh, RLS (Row-Level Security), and parameterized dataflows for secure and dynamic reporting.
Integrated Git-based version control with Power BI workspace environments for streamlined deployment.
Collaborated with clients in energy and retail sectors to design KPI frameworks and performance dashboards that improved reporting accuracy.

Analytical SkillsPythonAzure Data FactoryPower BIMicrosoft FabricMicrosoft SQL Server+4

Associate Data Analytics L1

Promoted

Jan 2023 – May 2024 · 1 yr 4 mos · Hybrid

Key Achievements & Responsibilities:
Led data analytics initiatives for retail and e-commerce clients, implementing omni-channel user tracking and automated reporting systems.
Built data pipelines in Google BigQuery and Apache Airflow to automate ETL workflows and improve data reliability.
Developed interactive Power BI dashboards integrating marketing and transactional datasets, improving decision turnaround by 25%.
Designed custom DAX metrics and data models aligned with client KPIs and campaign performance metrics.
Integrated Adobe Analytics, GA4, and Power BI for unified visualization and customer journey tracking.
Delivered Proof of Concepts (POCs) on data automation and predictive analytics readiness.
Collaborated with engineering teams to enhance ETL orchestration, improving data availability and reporting frequency.

Data AnalysisTableauMicrosoft Power BIPython (Programming Language)Analytical SkillsPandas (Software)+5

Jr. Associate | Data Science and Analytics

Jul 2022 – Jan 2023 · 6 mos · Hybrid

Key Achievements & Responsibilities:
Managed client-facing analytics projects, delivering high-quality Power BI dashboards with advanced data modeling and DAX techniques.
Partnered with business stakeholders to define metrics and build actionable insights from marketing, sales, and user engagement data.
Utilized Power Query and Dataflows for data transformation and cleansing from diverse sources (SQL, Excel, APIs).
Automated reporting workflows, enabling self-service BI adoption and reducing manual reporting effort by 40%.
Conducted data storytelling sessions to help business users interpret insights and improve strategic decision-making.

Power BIGoogle Data StudioPandas (Software)Data AnalyticsGoogle AnalyticsSQL+1