Ujjwal Jha's Linkedin Analytics

Contact - ujjwal717@gmail.com Being a data analyst, I have worked with start-ups and clients from the US, UK, Europe, Singapore, and worldwide. I helped startups with customer behavior analysis, marketing analysis, and much more. I have worked with multiple industries including healthcare, sales, marketing, financial, retail, E-Commerce, entertainment, and more. I worked in multiple roles including Healthcare analyst, Product Analyst, Sales Analyst, Marketing Analyst, E-Commerce Analyst, Financial Analyst, and more. I have also taught students about data analytics where I helped them learn crucial skills such as SQL, Python, Excel, Power BI, and more. Some of my hard skills: SQL (MySQL, PostgreSQL), Python, Excel, Power BI, A/B Testing, Amazon RedShift, and more. Few Tasks that I performed in my job are: -- Performed data analysis for startups, improving decision-making by 40% and business processes by 35%. -- Conducted ad-hoc analysis across industries, including sales, marketing, healthcare, education, and finance. -- Performed A/B testing for features, designs, products, and strategies, boosting conversion rates by 25%. -- Analyzed user engagement metrics for startups, enhancing interfaces and increasing active users by 30%. -- Simplified complex analyses into actionable insights, improving decision-making efficiency by 45%. -- Developed solutions that enhanced cross-team collaboration by 55%. -- Solved start-up challenges using data, improving business decisions by 47%. -- Drove business impact through customer behavior analysis, increasing retention rates by 20%. -- Created visualizations with Python and Power BI, improving data storytelling and insights by 40%. -- Automated cleaning, EDA, and analysis using Python, reducing processing time by 45%. -- Built Power BI dashboards and KPIs, increasing efficiency by 30% and revenue by 20%. -- Used advanced SQL techniques like indexing and partitioning to boost database performance by 20%. -- Optimized SQL queries with CTEs, views, and joins, enhancing execution speeds by 40%. -- Reduced costs by 15% and boosted profits by 10% through data-driven strategies. -- Used Excel tools like pivots, XLOOKUP, and conditional formatting to improve analysis by 40% and cut reporting time by 50%.