Sreeja Kandukuri

About

With a go-getter attitude and a dedication to quality, I approach each challenge with enthusiasm and a tireless drive to succeed. Drawing on my experiences, I see each opportunity as a chance to learn, grow, and improve. My unwavering commitment to continuous growth is perfectly aligned with my desire to positively contribute to every endeavor I undertake. Experienced in Data Warehouse and Data Mining, Big Data Analytics, ETL, Business Intelligence, and Machine Learning. Proficient with tools like Tableau, Microsoft Power BI, and Google Analytics.

Experience

• Marketing Data Analyst Intern · World Salon2024-09-01 –
• Data Scientist · Humanitarians AI2025-01-01 –
• Data Analyst Associate Intern · Excelerate2024-09-01 – 2024-10-01

  • Utilized Google Looker Studio and Excel in a certification project to perform comprehensive user data analysis and trend assessments. • Leveraged advanced Excel functions, including Pivot Tables, VLOOKUP, and data validation techniques to identify key trends and forecasting outcomes, which led to a 15% increase in project efficiency.

• Web3 Security Data Analytics Externship · Extern2024-08-01 – 2024-09-01

  • Employed in-depth analysis of smart contract vulnerabilities using Python and Tableau; identified and documented 15 critical vulnerabilities, leading to a 40% reduction in potential security risks for client projects. • Performed frequency and correlation analysis of risk tags to identify the most prevalent vulnerabilities and their associations, gaining proficiency in data manipulation and statistical tools. • Assessed unsupervised machine learning techniques for cluster analysis, discovering patterns and commonalities among smart contracts.

• Strategist / Data Analyst · Google2022-05-01 – 2023-04-01

  • Developed & executed data driven Google Ads strategies, resulting in a notable increase of 40% in sales & a 50% increase in leads. • Designed custom dashboards, reports, & visualizations in Google Analytics & GA4 to increase data accessibility & provide actionable insights for decision-making, contributing to a 30% improvement in overall performance optimization based on key KPIs. • Set up custom goals, business strategies, improving campaign performance by 15% through accurate measurement of conversion rates & click-through rates. • Provided exceptional customer service by utilizing the knowledge of various industry trends & digital marketing tools to drive automation solutions through data-driven decision-making. • Effective communication skills with detailed documentation & translated complex data insights to non-technical stakeholders were presented, facilitating informed decision-making & ensuring understanding across cross-functional teams. • Utilized Google Analytics data to identify high-performing keywords and ad placements, leading to a 25% increase in ROI for all advertising efforts. • Developed & implemented advanced tracking mechanisms in Google Analytics to enhance accuracy of customer engagement monitoring by 25%, leading to improved campaign performance & better insights for future strategy adjustments. • Executed detailed analysis of marketing campaigns performance data, aligning strategies with business performance & optimizing ad targeting, algorithms resulting in a 30% increase in ROI through strategic planning and resource optimization.

Education

• Northeastern UniversityMaster of Science - MS, Data Analytics, Applied Machine Intelligence
• St. Francis College for WomenMaster of Science - MS, Computer Science
• St. Francis College for WomenBachelor of Science - BS, Mathematics, Computer Science and Electronics

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