Kamlesh Tambe Email & Phone Number

Pune, Maharashtra, India

• Consulted with clients to understand their needs and provided strategic recommendations based on in-depth analysis of student marketing data.
• Analyzed marketing data to identify trends, patterns, and insights, aiding clients in optimizing their marketing strategies and improving engagement.
• Developed comprehensive reports and dashboards using Power BI and Excel, visualizing key metrics and performance indicators to support data-driven decision-making.
• Utilized SQL to extract, manipulate, and analyze large datasets, ensuring accuracy and relevance of findings.
• Applied data analysis techniques to evaluate the effectiveness of marketing campaigns and suggest improvements for enhanced client outcomes.
• Collaborated with cross-functional teams to integrate data insights into client strategies and drive business growth.

Pune, Maharashtra, India

• Analyzed seven diverse datasets using SQL and Power BI to uncover content trends and deliver actionable strategic recommendations.
• Utilized Excel for thorough data analysis, cleaning, and modeling, ensuring data accuracy and integrity.
• Developed advanced DAX measures in Power BI to produce dynamic reports and monitor KPIs in real-time.
• Leveraged SQL and Python for extracting actionable insights from complex datasets, driving data-informed decision-making.
• Prepared and delivered professional reports and interactive visualizations using Power BI, facilitating strategic decisions.
• Applied data science techniques such as machine learning algorithms and predictive modeling to enhance data analysis and forecasting capabilities.

Chennai

• Developed and tuned models using scikit-learn and TensorFlow to enhance performance and achieve project goals.
• Conducted exploratory data analysis (EDA) and feature engineering to prepare datasets for training and improve model outcomes.
• Applied statistical analysis and data preprocessing techniques to ensure data quality and model reliability.
• Utilized Jupyter Notebooks for coding, documenting, and sharing machine learning experiments and results.
• Collaborated on projects involving natural language processing (NLP) and computer vision to build and deploy innovative solutions.-Participated in data science competitions and challenges to apply machine learning.
• Studied and implemented deep learning techniques, such as neural networks, for advanced model development and performance optimization.