Data Collection & Cleaning: Gathering data from various sources and performing data cleaning tasks such as handling missing values, duplicates, and ensuring data quality.Data Analysis & Exploration: Using statistical methods and analytical techniques to interpret data, identify patterns, trends, and outliers that provide insights into business performance.Data Visualization: Creating charts, graphs, dashboards, and other visualizations using tools like Excel, Power BI, or Tableau to help stakeholders understand data trends.SQL Querying: Writing and optimizing SQL queries to extract and manipulate data from relational databases, a key skill for accessing and preparing data for analysis.Automation of Reports: Using automation tools or scripts (e.g., Python, R) to automate repetitive reporting tasks and create more efficient processes.Predictive Analytics & Machine Learning: Assisting with implementing predictive models using machine learning algorithms in Python or R to forecast trends and outcomes.Collaboration with Stakeholders: Working closely with various teams (e.g., marketing, finance, operations) to understand their data needs and provide actionable insights.Data Documentation: Maintaining proper documentation of the data sources, transformations, methodologies used, and results for future reference and compliance purposes.ETL (Extract, Transform, Load) Processes: Assisting in building and maintaining ETL pipelines to ensure that data flows smoothly between systems and is ready for analysis.Business Intelligence Support: Supporting the business intelligence team in integrating data from different systems and creating reports that help drive decision-making.

Provided resolutions to avoid trouble calls by proactively addressing customer issues on outcalls.Took follow-ups on customers' existing issues to ensure timely resolution.Performed data scrubbing to clean and update customer data, ensuring accuracy and efficiency in customer service operations.Managed the team in the absence of managers and provided necessary support to team members.

Proficient in Data Analytics, Data Modeling, Data Management, Data Quality, Data Visualization, and Machine Learning.Worked on projects like Loan Prediction and Personal Budget & Finance Management, applying machine learning and natural language processing (NLP) techniques.I completed a data analysis and science internship, applying my skills to real-world projects.Developed a basic understanding of Python for data analysis and tools like MySQL, Excel, and Power BI.