🏡 Home Depot Experience - Enterprise Data Science & Analytics Team:During my time at Merkle, I provided comprehensive support to Home Depot as the primary client, leading teams across geographies to solve complex business problems and championing RPA initiatives. I also developed efficient Python and Flask-based tools for large quoting using automation while collaborating with various teams to drive innovative solutions and enhance data governance. Additionally, I established a SharePoint hub for streamlined team communication, which improved data quality and led to cost-saving data cleanup efforts and best practices implementation.Key Highlights:🌐 Solutions Expertise: Specialized in diverse AI and machine learning based solutions.🛠️ Enterprise Data Science: Collaborated within an enterprise data science team.🤖 Robotics Champion: Advocated for robotic process automation (RPA).🌱 Talent Development: Contributed to middle management hiring processes.🚀 Project Highlights:- 📝 Process Streamlining: Streamlined data pipelines for efficiency.- 💸 Revenue Growth: Reduced quote conversion time and processed larger orders efficiently.- 📊 Data Governance and Enhancement: Ensured data accuracy and introduced advanced alerts.- 🌟 Innovative Analytics: Provided advanced analytics to business teams and created dashboards.- ⚙️ Tooling: - Built AI based quote process tool using python and Flask which automated manual steps for quote creation and vendor communication for real time product quoting.

🛍️ Experience with Prominent Clients🖥️ CDW Experience:At CDW, I supported digital teams as part of strategy and Insights team, providing vital strategic insights for search, content, and marketing initiatives. My role emphasized the importance of data-driven decision-making in crafting effective digital strategies, enhancing cross-functional collaboration skills, and showcasing proficiency in Python, coding, and data engineering. In this journey, I've learned to be productive from people and teams, trained individuals, and supported a culture to create a learning environment with a growth mindset.Key Projects and Business Solutions for CDW:- 📊 Digital Strategy Optimization: - Collaborated on search, content, and marketing initiatives to optimize digital strategies. - Utilized data and analytics to drive effective decision-making.- 💡 Subject Matter Expertise: - Served as a subject matter expert for online and offline data. - Played a pivotal role in implementing Adobe analytics solutions for CDW.- 💰 Revenue Impact: - Made significant contributions to revenue through process improvements and project solutions.Michaels Experience:At Michaels, I worked with my team to create automated business performance reporting dashboard, enabling efficient business reporting for leadership. This involved addressing complex analytics challenges, optimizing their data pipeline and leveraging technical expertise in Python and automation. These experiences sharpened my data-driven problem-solving abilities and contributed to Michele's retail operations.Key Projects and Business Solutions for Michele's:- 📈 Data Pipeline Optimization: - Streamlined the data pipeline, enabling efficient business reporting for leadership.- 📊 Complex Analytics Challenges: - Addressed intricate analytics challenges related to business reporting.- 🛠️ Technical Proficiency: - Leveraged technical expertise in Python and data engineering to drive process improvements.

• Built an automated tool which enabled sales managers in prioritizing customer’s feedback as per priority. This enabled sales manager to take immediate response on critical feedbacks• Enhanced overall satisfaction (CSAT) with over 45% increase in Tier1 satisfaction bucket. This framework also helped various teams to improve on their daily operation using Trending topics.• Tableau and Salesforce Integration: This project was responsible for providing analytical support and business solutions for BFSI Client in which my responsibilities involved driving client communication, managing deliverables, account management and pioneering analytical solutions for the business and conduct training session for the Knowledge transfer of the entire workflow

• Worked on automating the process of data loading into data bases and report generation.• Data segmentation basis on business KPIs resulting in rapid issue rectification.• Optimize SQL store procedures and help data management team with Data governance projects.• Worked with the data engineering team to design and implement an automated ETL process that extracts, transforms, and loads data from various sources