A Data Analyst skilled to deliver data-driven insights and solutions. Achiever of ‘Client Value Creation’ award with the experience of Data Analysis, Data cleaning, Data visualization revealing critical relationships to …
A Data Analyst skilled to deliver data-driven insights and solutions. Achiever of ‘Client Value Creation’ award with the experience of Data Analysis, Data cleaning, Data visualization revealing critical relationships to enhance business performance. An enthusiast with result driven approach able to learn new technologies. I have an excellent analytical background to meet the increase of revenue growth and customer satisfaction by 50%. A growth-driven professional with a track record of delivering business impact through data insights.
Conducted data mining and validation on over 50 uncleaned datasets, followed by the analysis,
visualization, and presentation of results to diverse stakeholders.
• Examined an 800MB raw dataset, providing recommendations through data auditing, generating
reports using SQL queries, and manual audit processes.
• Skilled in concepts of Clustering, Schemas, normalization, joins, etc.
• Utilized various Power BI features such as drill down, drill through, report page tooltips, and more than
10 others to create visually appealing and effective reports that support informed decision-making.
• Developed 25+ dashboards using advanced features of Power BI like Bookmarks, Selection Panel,
Button, etc.
• Mastered in cleaning & verifying more than 30 datasets on excel using functions like Xlookup, Vlookup,
Countif, etc and prepared Pivot tables and charts as well as used Macros.
• Created ‘1 stOp’ Chatbot using Azure Cognitive services as a result of client data analysis.
• Worked on manipulating, cleansing, and processing data for over 60,000 customers using Python and
SQL, leading to a 60-70% enhancement in client relationships and streamlined presentation pointers.
• Made use of my Data expertise to contribute insights and identify key performance indicators (KPI’s),
resulting in a 50% improvement in customer acquisition for the platforms.
• Acted as POC for 21 new joiners, providing training in visual creation and uncovering hidden insights.
• Fostered an understanding of business needs, objectives, and data dynamics.
• Formulated a Cross Industry Standard Process for Data Mining (CRISP-DM).
• Had the opportunity to collaborate with a diverse tech stack to extract, transform, and load data, ensuring
accessibility and insightfulness using tools such as Excel and Python obtaining an accuracy of 79%.
• Employed over 5 Python libraries including Numpy, Pandas, Seaborn, Matplotlib, Sklearn, and others.
• Deployed python approaches to perform exploratory data analysis (EDA) on more than 15 datasets.
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