Data Scientist | Team Leader | Hackathon Enthusiast🚀 Professional Summary:Results-oriented Data Scientist with a proven track record in extracting actionable insights from complex datasets.Led a team of 5 in a comprehensive Exploratory Data Analysis (EDA) of health care insurance, influencing insurance pricing policies.💡 Skills:Proficient in Python, Numpy, Pandas, Statistics, Matplotlib, Seaborn for end-to-end data processing and analysis.Expertise in web scraping and data cleaning, ensuring high-quality datasets for impactful decision-making.Strong statistical knowledge, adept at identifying patterns and correlations within datasets.🏆 Hackathon Participation:Contributed to Uber Fare Prediction and Analytics Hackathon, showcasing problem-solving skills and innovative thinking.Participated in Netfiz Hackathon, applying data science techniques to derive meaningful insights.🔬 Project Highlights - EDA of Health Care Insurance:Analyzed a dataset of 1338 rows, 7 columns, revealing insights such as the impact of smoking on medical charges.Established positive correlations between age and charges, BMI and charges, influencing insurance product recommendations.📈 Key Achievements:Successfully executed data extraction, cleaning, manipulation, and visualization, optimizing team efficiency.Spearheaded recommendations for differentiated premium rates based on smoking status and tailored insurance products.🚀 Data Scientist | Web Scraping Specialist | Insights-driven Decision Maker🌐 Professional Summary:Proven expertise in web scraping and data science, leading a project on Ambition Box to analyze a dataset of 1980 rows and 7 columns related to jobs in India.💼 Project Highlights:Conducted web scraping on Ambition Box, extracting valuable insights from job listings, interviews, and employee reviews.Cleaned the dataset meticulously, removing outliers, handling duplicates, and converting data types for robust analysis.📊 Data Analysis Insights:Uncovered patterns showcasing that IT services and consulting offer a substantial number of job opportunities.Established a strong positive correlation of 0.94 between interviews and reviews, emphasizing the impact of company interview experiences on employee feedback.📈 Correlation Findings:Identified positive correlations between reviews and job opportunities (0.39) and interview and rating (0.94).Discovered a nuanced negative correlation between rating and interview experiences (-0.03).