Babasaheb Bharat Mane

Implemented machine learning algorithms for Customer Personality Analysis projects. Conducted Exploratory Data Analysis (EDA) on diverse datasets, uncovering key patterns and insights. Collaborated with cross-functional teams to pre-process and clean data for model training. Developed and deployed predictive models for customer segmentation. Utilized Python and machine learning libraries such as Pandas, NumPy, Skit-learn, Matplotlib, Seaborn to streamline data analysis processes. Assisted in creating data visualizations and dashboards, enhancing data-driven decision-making. Contributed to the development of Label Encoder, Feature Scaling for efficient data processing.

Conduct Exploratory Data Analysis, identifying trends and patterns to inform business decisions. Develop and maintain automated dashboards for key performance indicators using Tableau, resulting in an increase in data accessibility. Collaborate with cross-functional teams to gather requirements and provide data-driven insights for process optimization. Analysed large datasets using SQL and Python, leading to an improvement in forecasting accuracy. Created and presented reports to stakeholders, translating complex data findings into understandable insights. Collaborated with the engineering team to implement data tracking processes, resulting in improved data accuracy. developed and maintained dashboards and reports to visualize data insights using Power BI.