Mithillessh V S Email & Phone Number

Mithillessh V S📈 Summary:Creative recent graduate with a strong academic background and a proven ability to adapt and learn quickly. Eager to apply my skills and enthusiasm to contribute effectively in a professional setting.🔍 Key Skills:Data Analysis: Proficient in using SQL, Excel, and Python for data extraction, cleaning, and analysis.Statistical Analysis: Familiarity with statistical methods and hypothesis testing to draw meaningful conclusions.Data Visualization: Experience in creating interactive and insightful visualizations using tools like Tableau and Power BI.Problem-Solving: Strong analytical and critical thinking skills to tackle complex business problems.Team Collaboration: Effective team player with excellent communication and interpersonal abilities.🎓 Education:Master of Business Administration in Business Analytics, SRM Institute of Science and Technology, 2022Relevant Courses: Data Science and Machine Learning, Scaler Academy🔧 Projects:MySQL, Large US retailer-case study•Recommended to improve product delivery time, as 92% of orders are late.•Identified 137% growth in 2017-2018 purchases, indicating a significant boost in buying behavior.•Extracted insights that most customers favor credit card payments, comprising 74% of total payments.Python Libraries, Leading Streaming Platform -case study•Discovered insights that 37% of the platform's content is adult-rated, the most common type.•Extracted insights that movie durations decreased, with a median preference of 90-110 minutes.•Identified top genres: international movies, dramas, and comedy, making up 34% of consumed content.Probability and Statistics, Fitness company - case study•Recommended to concentrate marketing efforts on people earning over $55,000 since they are more likely to buy the premium product, KP781.•Recommended to either develop marketing strategies or avoid targeting females, given their 3.8% likelihood of purchasing KP781.•Extracted insights that individuals who engage in exercise more than 4 days a week are more inclined to purchase the top product.Confidence Interval and CLT, American Superstore - case study•Extracted insights reveal, with a 99% confidence interval, that male spending surpasses female spending.•Discovered that with a 90% confidence interval, spending among married and unmarried individuals shows no statistically significant difference.•Recommended to concentrate marketing efforts on the 18-45 age group, as they make up 78% of total purchases.📞 Contact:Phone: 9677044359

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  Recruiter

  Bumsa Inc.

  Feb 2024 - Present - Chennai, Tamil Nadu, India