VAMSHI TUMMALA

+1-201-***-**** Jersey City, NJ

ad4se6@r.postjobfree.com linkedin.com github.com OBJECTIVE

Data Analyst with 1 year of internship experience in SP technical, seeking Data Analyst jobs. EDUCATION

Master of Data Science, Saint Peter’s University Expected MAY 2025 Relevant Coursework: - Data analysis, visualization, and machine learning, with expertise in Python programming and application in various domains such as finance, marketing, healthcare, and artificial intelligence. Bachelor of Science in Internet Communications, University of Rome Tor vergata 2020 - 2023 Relevant CourseWork: - Grade: 85/110 Proficient in designing and implementing DSP systems, analyzing network architectures, and understanding electromagnetic transmission phenomena. SKILLS

Technical Skills: Python, MySQL, Quilksense, Pandas, Scikit learn, TensorFlow, R, SQL, PowerBI, Tableau, C++.

Soft Skills: Data Analysis, Machine Learning, SAS

EXPERIENCE

Data Analyst Intern Dec 2022 - Sep 2023

SP Technical Rome, IT

• KPI Monitoring and Analysis: Monitored ShopStyle KPIs daily, conducting comprehensive analysis to identify trends and drivers.

• Utilized Excel to perform data analysis, resulting in a 15% increase in identifying actionable insights for business improvement.

Undergraduate student Researcher Oct 2022 - Jun 2023 University of Rome Tor vergata Roma, IT

• Designed low-cost gripper with minimal power consumption and essential features for industrial packaging, reducing costs by 40%.

• Integrated Arduino for precise control, boosting packaging performance by 30%.

• Validated gripper’s functionality through experiments, enhancing overall efficiency by 25%. PROJECTS

Customer Lifetime Value Analysis Email marketing yields highest revenue with 20% ROI; social media excels in conversion rates. Social media and referrals outperform other channels. Informs decision-making for a 15% increase in insights and 20% efficiency boost. (Project link!). Credit Scoring and Segmentation Enhance financial decision-making. Techniques like the FICO score model and KMeans clustering yield insights, leading to a 15% increase in credit approvals and a 20% boost in risk mitigation. This informs loan approvals and interest rate setting, improving lending practices significantly. (Project link!). Cohort Analysis for Businesses Optimizing user engagement and retention strategies for businesses. Analyzed datasets with 30 weeks of user data, revealing average new users (3,418/week), returning users (1,353/week), and changes in user engagement (208 seconds on day one to 136 seconds on day seven). (Project link!) LEADERSHIP

• Organized a weeklong convention for 950 students with activities geared towards improving health on campus.

• Linked 174 freshman to upperclassmen with similar career objectives in a one-on-one mentoring.