Ayushi Saxena

AAYUSHI SAXENA Kanpur, UP |- |-| https://linkedin.com/in/ayushi-saxena-/ | https://github.com/ayushi-2508 SUMMARY A detail-oriented student with strong Computer Science foundation, proficient in statistical analysis, data visualization, SQL, Python, Java, and hands-on experience, eager to contribute to dynamic teams and support data-driven decision-making. TECHNICAL SKILLS Data Analytics Tools: MS- Excel, MS-Office, Google Sheets, Power BI, Tableau, Programming Languages: C, Java, Python(Pandas,NumPy),SQL,R, HTML, CSS. Database Management: SQL (PostgreSQL, MySQL) Data Processing& Analysis: A/B Testing, Agile,SDLC, Analysis(Cohort, Funnel, Retention) Software & Tools: Jupyter Notebook, Git, Visual Studio Code, Android Studio EDUCATION Pranveer Singh Institute of TechnologyKanpur Bachelor of TechnologyJuly – 2025 Currently Pursuing B.Tech in the field of Computer Science with the specialization in Artificial Intelligence and Machine Learning. Shivaji Inter CollegeKanpur IntermediateApril – 2021 Completed my 12th in the field of Science and Mathematics. PROFESSIONAL EXPERIENCE Tata Data Analyst InternJune 2024 – July 2024 Conducted A/B testing to compare product features,increasing user engagement by 12%. Analyzed funnel drop-offs using CleaverTap, optimizing conversion rates by 15%. Created interactive dashboards in Tableau & PowerBI, enabling stakeholders to track key metrics. Ensured 90% data accuracy through event testing and validation. IBM AI Research InternJune 2023- July 2023 Apply and Develop AI technologies to solve health care challenges in Metaverse / AR / VR. Cleaned, managed and extracted data from diverse sources,improving data processing efficiency by 20%. PROJECTS Music and Movie Recommendation System Developed a collaborative filtering algorithm to recommend content based on user preferences. Used matrix factorization and content-based filtering to improve recommendation accuracy. Processed and analyzed large datasets with Pandas & NumPy, identifying user trends. Music Store Analysis Designed and managed a PostgreSQL database for storing and querying music sales data. Performed comprehensive data cleaning & normalization, ensuring accurate analytics.. Sales Data Analysis Analyzed sales transactions using Python (Pandas, NumPy) to track key performance indicators (KPIs). Created data visualizations using Matplotlib & Seaborn to illustrate trends. Provided actionable insights, improving sales strategies. ADDITIONAL LANGUAGES:- English (Fluent, Professional,Written) , Hindi (Native, Fluent, Professional). CERTIFICATES:- Python Fundamentals, Front-End Development, Data Analytics, PowerBi(PWC) QUALITIES:- Leadership, Problem Solving, Critical Thinking, Data Integrity, Team Collaboration