Leadership and Management: Led a team of developers and data analysts, managing end-to-end software development for data collection and automation using Python, SQL, and Selenium.Data Pipeline Development: Engineered a data pipeline for data management and storage using PostgreSQL and AWS cloud computing services, ensuring high data quality and scalability.Automation Implementation: Automated EC2 service start-ups at 5 AM for data processing across 50+ brands with parallel processing.Data Analysis and Reporting: Conducted thorough data analysis and data mining, developing SQL queries for business analysis and reporting.Machine Learning and NLP: Trained machine learning models for competitor analysis using advanced data science and natural language processing (NLP) techniques.Consulting Services: Provided expert consulting services, applying business intelligence strategies and collaborating effectively with cross-functional teams.Key Achievements:Developed and deployed a comprehensive data pipeline ensuring seamless data flow and storage.Successfully automated data processing tasks, enhancing efficiency and productivity.Utilized advanced data visualization tools to generate critical business insights, aiding in strategic decision-making.Project: Blooprint AnalyticsData Consulting: Led data efforts at a consulting firm for major eCommerce platforms such as Flipkart, Amazon, and Meesho.Data Scraping: Overcame data challenges by scraping public data to extract valuable insights.Automation and Tools: Automated data collection using Python (Selenium, Requests, Pygsheets, Pandas) and SQL (BigQuery), improving data handling efficiency.Operational Efficiency: Enabled efficient competition and inventory analysis and ad optimization, reducing meeting preparation time from a full day to just 10-15 minutes.Development:Developed automated, self-repairing code for continuous data gathering.Awards

Data Analysis: Utilized Python, SQL, and Microsoft Excel to analyze data, uncovering insights into market trends, customer behavior, and competition.Customer Targeting: Implemented the RFM (Recency, Frequency, Monetary) technique to effectively target customers, resulting in a 23% increase in sales within one month.Business Process Improvement: Applied problem-solving and analytical thinking skills to enhance business processes, driving measurable results.Cross-Functional Collaboration: Worked closely with cross-functional teams, demonstrating strong communication and people skills to align on business objectives and strategies.Market Research: Conducted thorough market research to inform strategic decision-making and competitive positioning.Reporting: Developed and presented comprehensive reports to stakeholders, providing actionable insights and recommendations based on data analysis.Project Management: Managed multiple projects simultaneously, ensuring timely delivery and quality outcomes.Key Achievements:Boosted sales by 23% through effective customer targeting using RFM analysis.Improved business processes by leveraging data-driven insights, enhancing overall efficiency and effectiveness.Successfully collaborated with various teams to drive strategic initiatives and achieve business goals.