sayeed shekh

💼 Internship Projects Glassdoor Job Search Analysis Analyzed job trends, skills demand, and salary data using Python and Excel. Amazon Prime TV Shows & Movies Analysis Explored genre popularity, release trends, and content ratings; visualized data with Power BI. Flipkart Customer Support Analysis Cleaned and analyzed customer support data to identify service bottlenecks. Uber Product Dissection Conducted a competitor and product strategy analysis using publicly available datasets. Airbnb Power BI Dashboard Built an interactive dashboard showing booking patterns, revenue trends, and customer behavior. Blood Donation Data Analysis Identified patterns in donor data to improve awareness and donation frequency. Big Sales Prediction Developed a regression model to forecast sales using machine learning techniques. Cancer Prediction Using ML Built a classification model to predict cancer presence based on diagnostic data. 🧪 Technical Tools & Skills Applied Python: Data cleaning, analysis, and visualization (Pandas, NumPy, Matplotlib, Seaborn) SQL: Data extraction, joins, filtering, aggregation Power BI: Dashboard design and business reporting Excel: Pivot tables, charts, VLOOKUP, and formulas for quick insights R & RStudio: Statistical analysis (basic level) Jupyter Notebook: Interactive data science workflow 🏆 Achievements Completed Google Professional Data Analytics Certificate Completed Master Data Science Course and NumPy & Pandas Master Class on Udemy Scored top performer in Labmentix Internship evaluations Successfully completed 4-week internship at MedTour Easy in healthcare analytics Participated in multiple online hackathons and analytics challenges 👨‍💻 Academic Activities Contributed to group case studies and data presentations Regularly published insights and dashboards on GitHub and LinkedIn Participated in college seminars related to AI, Data Science, and Business Intelligence