Results-driven and skilled Data Analyst & Project Manager with approx 6 years of experience in data analytics, business intelligence, and project execution. Skilled & Certified SQL, Power BI, Tableau, Excel and other data visualization tools to transform raw data into actionable insights. PMI-ACP Certified, with expertise in Agile and Waterfall methodologies, incident management, stakeholder collaboration, process improvement, and operations management. Adept at leading cross functional teams, improving data quality and streamlining business processes.
Data Analyst & Project Manager with approx 6 years of experience in data analytics, business intelligence, and project execution. Skilled & Certified SQL, Power BI, Tableau, Excel and other data visualization tools to transform raw data into actionable insights. PMI-ACP Certified, with expertise in Agile and Waterfall methodologies, incident management, stakeholder collaboration, process improvement, and operations management. Adept at leading cross functional teams, improving data quality and streamlining business processes. Looking for opportunities in Data Analytics, Business Intelligence, and Project Management to drive data-driven decision-making and operational efficiency.
Below are the sample Data Analytics projects on SQL, Power BI & Tableau.
Analyzed Airbnb-Hospitality Intelligence Hub data using advanced SQL queires to identify gaps and increase the business growth.
Sky Sports Channel's coverage of the FIFA World Cup includes a post-match TV program called "Football Digest: Post Match Analysis". Football Pundits on the show discusses about the insights and game play as per their expertise and insights derived by the Sports Analyst at the backend.
Blinkit-Grocery Product Analysis track sales trends, analyze customer behavior, and identify areas for improvement to analyze their data and make informed, data-driven decisions.
The Maven Market Power BI project involved analyzing and visualizing sales, profit, and return data from grocery stores in the United States, Canada, and Mexico. Key insights revealed that Canadian stores were underperforming with low sales and high return rates, prompting a recommendation to close these stores. The project provided valuable experience in data transformation, DAX functions, and creating impactful business insights through Power BI.
This project uses Power BI to visualize and analyze sales, returns, and product data from the hypothetical Adventure Works bike shop, focusing on learning key Power BI features like DAX, data modeling, and interactive dashboards. It includes dashboards for executive insights, product and customer KPIs, and a decomposition tree for detailed analysis.
The Number of Rides and Revenue track ride volume and income, while Customer Feedback and Driver Performance assess satisfaction and efficiency, and Ride Trends and Active Users highlight peak times and customer engagement.
he Credit Card Power BI project focuses on analyzing credit card transactions and customer financial data to uncover key insights about spending patterns, credit utilization, and repayment behaviors. It includes interactive dashboards that provide a detailed overview of customer segments, transaction trends, and financial health. The project demonstrates advanced Power BI techniques such as DAX, data modeling, and visualization to support data-driven decision-making in the financial sector.
The ML Linear Regression Home Price Prediction project uses a dataset containing various property features to predict house prices, with a focus on data preprocessing and model optimization. It employs techniques like feature engineering, linear regression, and performance evaluation, including Ridge and Lasso regression to improve accuracy and avoid overfitting.
As a Business Analyst at Epic Games, I analyzed the "Video_Games" dataset to uncover trends in game popularity, sales performance, user engagement, and critical acclaim across platforms, genres, and regions. Using data visualizations like highlight tables, bar charts, funnel charts, and KPI cards, I built an interactive dashboard and story that empower strategic decision-making and enhance understanding of the global gaming landscape.
As a Data Analyst at Blinkit, I utilized Tableau to analyze the "Grocery Sales" dataset, uncovering key insights into top-selling items, outlet performance, pricing trends, and customer preferences. Through interactive dashboards and visualizations aligned with Blinkit's branding, I provided strategic recommendations to optimize sales, improve store layouts, and enhance the customer shopping experience.
I designed an interactive Employee Dashboard using Tableau to analyze workforce performance, departmental distribution, attrition trends, and compensation insights. This dashboard empowers HR and leadership teams to make informed decisions regarding talent management, employee engagement, and organizational growth strategies.
Below are the details to reach out to me!