Data Analyst Power Bi

ANKITA CHAUDHARI

Data Analyst

+91-899******* www.linkedin.com/in/Ankitac26 ******.*********.**@*****.***

Career Objective

Highly skilled and detail-oriented Data Analyst with 3.6 years of experience in data management, analysis, and visualization. Seeking to leverage my expertise in data-driven decision-making and advanced analytics techniques to drive business growth and contribute to organizational success in a challenging role.

Professional Summary

Proficient in data analysis, data cleansing, and data visualization.

Strong expertise in SQL, Python and Excel for data manipulation and analysis.

Experience in working with large datasets and deriving actionable insights.

Adept at creating interactive dashboards and reports using Power BI and Tableau.

Solid understanding of statistical analysis and machine learning techniques.

Skilled in translating business requirements into analytical solutions.

Ability to collaborate with cross-functional teams to achieve business objectives.

Excellent problem-solving skills with a keen attention to detail.

Strong communication and presentation skills for conveying complex data insights to non-technical stakeholders.

Experience

Working for Cognizant as a Data Analyst from Feb 2022 - Till Date

Roles and Responsibilities:

Conducted comprehensive data analysis to support strategic business decisions, identifying key trends, patterns, and correlations in large datasets.

Developed and maintained SQL queries and scripts for data extraction, transformation, and loading (ETL) processes.

Created interactive dashboards and visualizations using Power BI and Tableau to track and present key business metrics.

Performed data cleansing and validation to ensure accuracy and reliability of data used in reporting and analysis.

Conducted statistical analysis, including regression analysis, hypothesis testing to support decision- making.

Implemented predictive models to forecast sales, customer behavior, and other key performance indicators, improving accuracy by 15%.

Automated data processing tasks using Python, reducing manual effort and increasing efficiency by 20%.

Provided actionable insights and recommendations to senior management, contributing to a 10% increase in operational efficiency.

Led the migration of legacy data reporting systems to modern analytics platforms, improving reporting speed and accuracy.

Mentored junior data analysts and provided training on data analysis tools and techniques.

Worked closely with IT and data engineering teams to integrate new data sources and improve data accessibility.

Skills

Programming Languages: Python, SQL

Data Visualization: Power BI, Tableau, Excel

Databases: MySQL

Data Processing: ETL, Data Cleansing, Data Transformation

Statistical Analysis: Hypothesis Testing

Machine Learning: Supervised and Unsupervised Learning, Predictive Modeling, Regression Analysis, Clustering

Tools: Jupyter, Anaconda, GitHub, MS Excel (Advanced), Visual Studio Code

Reporting: Creating and automating reports using SQL and BI tools, generating insights for business stakeholders.

Projects

Blinkit Supply Chain & Customer Insights Dashboard

Developed an end-to-end Power BI dashboard to monitor critical KPIs such as order volume, delivery efficiency, customer retention, and revenue trends for a quick-commerce platform.

Created interactive visualizations and dynamic filters for real-time data exploration by product category, region, and time frame, improving usability and insights.

Implemented inventory analytics including stock level tracking, inventory turnover ratio, and low- stock alerts to optimize supply chain operations.

Improved operational visibility and data-driven decision-making by centralizing KPIs in Power BI, resulting in a 25% faster identification of delivery and inventory issues.

Predictive Maintenance Model for Machine Failure Detection

Developed a binary classification model to predict machine failures using sensor data from a Kaggle competition, achieving 92% accuracy, and improving early detection capabilities.

Performed Exploratory Data Analysis (EDA) to uncover operational patterns, correlations, and anomalies in machine performance data.

Engineered relevant features and applied machine learning models to enhance predictive performance and generalization.

Implemented and evaluated multiple classifiers including Logistic Regression, Decision Trees, Random Forest, and SVM to identify the most accurate model.

Educational Details

Master's Degree, Mathematics, University of Pune 2016 Percentage:60.60% Pune, India

Bachelor's Degree, Mathematics, K.T.H.M College 2014 Percentage:73.58% Nashik, India

Declaration

I hereby declare that the above furnished information is true to the best of my knowledge.

Ankita chaudhari

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