I’m transitioning from business development to data science, combining my background in sales with a focus on data-driven insights. My experience in business development taught me to identify customer patterns, build targeted strategies, and use data tools to source high-quality leads. These experiences developed my analytical thinking, attention to detail, and ability to communicate insights—skills I now bring into data science.Transferable Skills:✔️Data Collection & Validation: Experienced in sourcing leads, verifying industries, and ensuring data relevance (e.g., lead roles, company size).✔️Analytical Thinking: Skilled at identifying target demographics and customer needs.✔️Communication: Proficient in creating communication strategies, which will be a great advantage in presenting data and making insights comprehensible to non-technical stakeholders.✔️A/B Testing: Experienced in designing and executing A/B tests, from ideation to implementation, to shape strategies in email marketing.✔️Creating Reports: Extensive experience generating comprehensive reports on campaign outcomes and trends.✔️Attention to Detail: Experienced in quality assurance, verifying the work of a team of over 70 people to ensure accuracy and consistency in deliverables. This skill has been crucial in maintaining high standards and ensuring data quality.👨🏻💻Data Science Skills and Goals:✔️Current Skills: Python, NumPy, Pandas, data visualization (Matplotlib)⚫In Progress: Learning SQL🎯Future Goals: Develop expertise in machine learning and AI