Hello, I am

Harshith V C.

2

Excel Projects

3

PowerBI Projects

1

SQL Project

About Me

I am a Data Analyst who believes data is only valuable when it leads to better decisions. My approach is direct: understand the real problem, cut through noise, and deliver clear, actionable insights that change what the business does next.

I focus on uncovering root causes, challenging assumptions, and making strategy choices defensible with evidence. I see data analysis not as reporting everything but as finding what truly matters and making it obvious.

Key Skills

Problem Solving

Critical Thinking

Attention to Detail

Adaptability

My Projects

My Experience

Funnel Conversion Analysis
Investigated user journeys to identify drop-off points in checkout and onboarding flows. Delivered findings that led to a redesigned funnel and an increase in conversion rates by around ten to fifteen percent.
Pricing and Revenue Optimization
Analyzed transaction data to uncover pricing gaps across regions. Recommended changes that improved average order value while maintaining competitive market positioning.
Customer Segmentation Strategy
Applied clustering and cohort analysis to segment customers by value and behavior. Supported targeted marketing campaigns that increased retention among high-value users by about twelve percent.
Forecasting and Demand Planning
Built time-series models to predict order volumes across cities. Enabled better inventory planning, helping reduce stockouts and excess inventory in key regions.
A/B Test Design and Interpretation
Collaborated with product teams to design experiments, define success metrics, and interpret results. Helped prioritize features with clear, statistically-backed recommendations.
Business Intelligence Dashboard Development
Delivered interactive dashboards in Tableau and Power BI for sales and operations teams. Focused on essential KPIs, improving decision-making speed and reducing manual reporting hours.
Ad Hoc Problem-Solving Analysis
Led investigations into sudden metric changes, using first-principles reasoning and fast-turnaround analysis to support urgent leadership questions.
Data Quality and Pipeline Collaboration
Worked with data engineering teams to define data requirements and validate pipeline outputs. Improved reliability of core datasets and reduced manual cleaning effort by approximately thirty percent.
Process Automation and Efficiency Gains
Identified repetitive manual steps in reporting workflows. Developed automated solutions that cut processing time by around forty percent and reduced errors.
Stakeholder Communication and Insight Delivery
Presented analytical findings to senior leadership and cross-functional teams in clear, actionable language. Focused on aligning recommendations to business strategy and driving adoption.