Excel
Projects
PowerBI
Projects
SQL
Project
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.
Skills
Problem Solving
Critical Thinking
Attention to Detail
Adaptability
Projects
Excel-based project integrating ETL processes, data modeling, and Power Query for sales analytics. Empathetic design ensures user-friendly reports on customer and market performance vs targets.
AtliQ Hardwares is a consumer electronics company expanding rapidly but is not able to compete with other companies using data as most of their report still exists in Excel. My goal is to implement an advanced analytics solution using Power BI that will enable the company to get insights
Dive deep into employee attrition trends with our Excel-based dashboard. Uncover key insights to drive proactive retention strategies and enhance workforce satisfaction.
Delve into Spotify's world with a meticulously crafted dashboard. Explore user behaviors, genre trends, and Spotify's global impact for informed decisions in the music industry
Sports Basics' IPL 2024 magazine, led by journalist Peter Pandey, leverages three years of data analytics to provide insightful and compelling content for cricket fans, analysts, and teams, aiming to boost website traffic
Analyze sales data for targeted promotions & menu adjustments, optimize staffing for peak ordering times, & provide data-backed insights for strategic decisions
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.
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