Satya Nerurkar Email & Phone Number

Mumbai, MH, IN

Mumbai, Maharashtra, India

• Created easy-to-understand dashboards and reports using advanced data visualization tools on multiple key performance indicators (KPIs). This helped stakeholders make decisions based on data and aligned with evaluating.
• Analyzed customer data for over 130 digital ad campaigns spread across various platforms. Ensuring that the campaigns were precisely targeted to the right audience, leading to lower marketing costs.
• Applied structured problem-solving methods and the appropriate tools and techniques to streamline and fix pre-existing data pipelines. This effort saved 60 hours each month and minimized the need for manual.
• Offered guidance and support to junior data analysts in their daily analysis tasks while helping them enhance their skills. This mentoring process improved team performance and promoted knowledge sharing among team.

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Mumbai, Maharashtra, India

• Conducted data extraction and quantitative analysis for multiple ad hoc business requests, each aimed at meeting specific needs. By carefully examining the data, I provided valuable insights to help decision-making and.
• Participated in the routine processing of transactions on a daily, weekly, and monthly basis. This included generating factual tables containing key performance metrics.
• Monitored daily batch processes, ensuring smooth operation and accuracy. Whenever issues arose within these processes, they were promptly addressed to maintain the overall workflow and data integrity, leading to a.

• During my internship with Eduvance, I gained extensive experience in a variety of technologies and tools related to Python programming and data analysis. These included:
• Basics of Python Programming: I received training in the fundamental concepts of Python programming, such as syntax, data types, control structures, functions, and modules.
• Advanced Python programming concepts: I developed my skills in more advanced aspects of Python programming, including decorators, generators, and exception handling.
• Data Analysis with Pandas Dataframe: I utilized the Pandas library for data analysis and learned how to load, clean, and manipulate datasets.
• Data Visualization Techniques using Python: I was trained in creating data visualizations using the Matplotlib library, including line graphs, bar charts, histograms, scatter plots, and heatmaps.
• Machine Learning techniques with Python Scikit-learn package: I acquired skills in machine learning algorithms and techniques, including linear regression and k-means clustering, using the Python Scikit-learn.