With a passion for turning complex data into compelling stories that drive business success. My expertise in Power BI, Excel, SQL, and Python enables me to transform and clean data efficiently, ensuring accuracy and relevance.
I specialize in transforming complex data into actionable insights. Leveraging tools like Power BI, Excel, SQL, and Python, I excel at cleaning and interpreting data to tell compelling stories that drive business strategy and decision-making.
Fabric Analytics Engineer certification validates expertise in designing, building, and optimizing data analytics solutions using Microsoft Fabric.
Earned Google Data Analytics Certificate, showcasing proficiency in data tools like SQL, R, and Tableau, and AI application in data analysis.
Earned Google Business Intelligence badge, showcasing skills in data modeling, visualization, and dashboarding.
Hello! I'm a passionate Data Analyst with a solid foundation in data analysis, transformation, visualization, cleaning, and modeling. I am expert in tools like Power BI, Excel, and Tableau with ease and am proficient in programming languages including Python, R, and SQL.
My academic journey in physics and mathematics honed my analytical skills and quantitative reasoning, culminating in a degree with honors from Udaynath Autonomous College of Science and Technology in 2016. Professionally, I've enriched my expertise with four months of hands-on experience at innovative companies like Teachnook and Tranity.
When I'm not delving into data, you can find me enjoying the simpler pleasures of life, like playing with dogs and caring for them. It's this balance of professional dedication and personal passion that drives me to excel in the dynamic field of data analytics.
"Analyzing call volume trends to enhance customer experience within a company's inbound calling team using CX analytics."
"Investigating IMDB movie success factors through data cleaning, analysis, and the 'Five Whys' approach to inform industry decisions."
"Data analysis project optimizing car pricing and features for enhanced market competitiveness and profitability, focusing on consumer trends."
"A SQL-based data analysis project using Azure Data Studio to extract, analyze, and present key business insights from the Adventure Works database."
"A SQL-based data analysis project using MYSQL workbench to extract, analyze, and present key business insights from the Company database."
"Dynamic HR analytics Power BI report: insightful, user-friendly data visualization for strategic human resource decision-making."
"Explore comprehensive sales data through interactive Power BI visualizations, revealing key insights and trends in global superstore performance."
"An interactive Power BI report analyzing Netflix movies, showcasing data-driven insights for a captivating portfolio presentation."
"Analyzed health insurance data to predict customer interest in vehicle insurance using machine learning and data preprocessing techniques."
I hold a degree in Physics and Mathematics from Udaynath Autonomous College of Science and Technology, graduating in 2016. My academic background is complemented by my hands-on experience with data analysis, transformation, visualization, cleaning, and modeling.
I am skilled in using Power BI, Excel, and Tableau for various data-related tasks. For programming, I am well-versed in Python, R, and SQL, which enables me to handle complex data analysis and modeling effectively.
I have four months of professional experience working as a data analyst with companies like Teachnook and Tranity. During this time, I have honed my skills in extracting insights from data and contributing to data-driven decision-making processes.
I regularly engage in continuous learning through online courses, webinars, and reading industry publications. This helps me stay abreast of the latest tools, techniques, and best practices in data analysis.
I bring a collaborative spirit to team projects, combining my analytical skills with effective communication to ensure that all team members are aligned and informed about the data insights and their implications for the project.
Bhubaneswar, Odisha, India
9:00 - 17:00