Diwali Sales Data Analysis
Analyzed Diwali sales data to collect, clean, and visualize trends and patterns, ultimately providing actionable insights into sales performance and customer behavior.
RECENT WORKS
Music Store Data Analysis using SQL
Analyzed a Music store's sales and performance using SQL queries, solving business problems such as optimizing inventory, identifying top-selling products, and improving customer segmentation.
HR Analytics Dashboard using Power BI
Developed expertise in transforming HR data into actionable insights through interactive Power BI dashboards, enabling data-driven decision-making and KPI monitoring.
MY INFO
About Me
Passionate Data Analyst turning Raw Data into Powerful Insights, Driving Smarter Decisions and Business Growth. With a keen eye for detail and expertise in Analytical Tools, I’m here to unlock the full potential of your Data.
Download Resume
Experience
Whiz.ai
Software Engineer
02/22 - 09/22Worked as a Software Engineer cum Data Analyst/Data Engineer on the CVM (Cardio Vascular Muscle) project, providing advanced data solutions for Johnson & Johnson.
Tripstack
Software Engineer - 1
07/21 - 01/22Worked as a Software Engineer responsible for solving coding bugs, coding in C#, and conducting web scraping to enhance the functionality of travel-related platforms.
Skills
Python
SQL
Excel
Power BI
Tableau
PostgreSQL
Apache Spark
Apache Airflow
Machine Learning
Git
Github
Gitlab
Bitbucket
Jira
SERVICES
Data Wrangling & Exploratory Data Analysis(EDA)
Utilize Python, SQL, and Excel to clean, standardize, preprocess raw datasets and perform in-depth exploratory data analysis to ensure high-quality, structured data for analysis and reporting therby discovering hidden patterns, relationships and actionable business insights.
Python Based Data Analysis & Visualization
Leverage Python libraries like Pandas, NumPy, and Matplotlib to analyze and visualize data, providing deep insights into trends and business performance.
SQL Query Development & Optimization
Develop and optimize complex SQL queries to extract, filter, and aggregate data from relational databases for actionable insights and business reporting.
Dashboard Building & Business Intelligence Reporting
Create insightful, interactive dashboards and develop customized BI reports in Power BI or Tableau to track KPIs, sales performance, and operational metrics, allowing businesses to monitor their health in real-time.
Predictive Analytics & Forecasting
Develop predictive models using machine learning and statistical techniques to forecast future sales, demand, and customer behavior based on historical data.
Data-Driven Business Solutions
Leverage data analytics to solve specific business challenges, offering strategic recommendations to improve operational efficiency, reduce costs, and drive profitability.
Financial and Sales Analysis
Perform in-depth financial and sales analysis to identify top-selling products,revenue drivers, and areas for revenue growth and optimization.
Customer Segmentation Analysis
Analyze customer data to segment the audience based on behavior, demographics and purchasing patterns, enabling personalized marketing and service strategies to target and engage customers more effectively.