MOHANRAJ S
MOHANRAJ S

Data Analyst

Open to offers · Member since 16 Oct 2026
Location
Vellore, India
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Mid

About

Professional summary

I am a Data Analyst with hands-on experience in CPG and FMCG analytics, MIS reporting, KPI dashboard development, and data operations at NielsenIQ. I transform syndicated retail and POS data into actionable business insights for enterprise stakeholders.

I have built Power BI dashboards and MIS reports supporting more than 500 CPG and FMCG clients across 90+ countries. My work includes KPI design, data modeling, data storytelling, root-cause analysis, and improving data quality and SLA compliance.

I use Python, SQL, Power BI, Advanced Excel, and ETL automation to process and validate large datasets. I have automated pipelines processing over one million records per month and improved reporting workflows through scalable data-quality frameworks.

I have applied Generative AI and prompt engineering to reporting automation, product categorization, and prediction workflows. These initiatives reduced reporting time, improved prediction accuracy, and delivered measurable annual business savings.

I also build end-to-end analytics products, including an AI-powered CPG retail analytics platform using Next.js, Supabase/PostgreSQL, Groq LLM, and function calling. I am interested in data analytics, business intelligence, AI-enabled analytics, and data-driven decision support roles.

Skills

29 capabilities

Tech stack & tools

Working toolkit

Application Hosting

Data Stores

Development

Languages & Frameworks

Libraries

Experience

Career history

Data Operations Analyst NielsenIQ

Built MIS reports and KPI dashboards using Nielsen syndicated data for more than 500 CPG and FMCG enterprise clients. Developed Power BI dashboards tracking 15+ KPIs across five data sources for senior stakeholders, reducing manual quality checks and improving decision-making speed.

Engineered Generative AI automation that reduced reporting time from 36 hours to 2 hours, saved $80K annually, and improved accuracy to 99.2%. Automated Python ETL and validation pipelines processing more than one million records per month, led cross-source data quality root-cause analysis, and developed a Gen AI Excel prediction tool processing 250K to 300K records per day.

Creator, CPGist AI-Powered CPG Retail Analytics Platform Personal Project

Architected an end-to-end CPG retail analytics platform using Next.js 14, Supabase/PostgreSQL, and Groq LLM. Integrated more than 10 interconnected datasets and over 110 brands across sales, products, retailers, pricing, promotions, competitors, categories, and market signals.

Built a function-calling AI Analyst that translates natural-language business questions into structured database queries and analytical functions. Developed automated ZIP/CSV ingestion, schema validation, transformation, loading, authentication, and analytics modules for executive dashboards, data exploration, brand, product, retailer, promotion, and A/B testing analysis.

Education

Learning history

Vellore Institute of Technology

Master of Computer Applications (MCA), Computer Applications

GPA: 7.50/10.

Vellore Institute of Technology

Bachelor of Computer Applications (BCA), Computer Applications

GPA: 7.77/10.

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