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Entry-level Data Analytics and AI Engineer with 8 months of internship experience.
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Assessing your cultural and operational fit
Detail oriented graduate with hands-on experience in Data Analytics, Snowflake, SQL, Tableau, Python, and AWS Cloud. Skilled in building data-driven projects, dashboards, and Generative AI applications. Seeking an opportunity to contribute to data analysis, reporting, and business intelligence while continuously learning and solving real-world problems using data.
Lakireddy Bali Reddy College of Engineering
B.Tech · AI & DS
August 1, 2022 – June 30, 2026
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End-to-End E-Commerce Analytics Platform Using Snowflake and Streamlit
January 1, 2026 – June 1, 2026
Developed a cloud-based E-Commerce Analytics Platform using Snowflake, Python, SQL, Pandas, and Streamlit by implementing ETL pipelines, a Star Schema Data Warehouse, interactive BI dashboards, and advanced analytics such as RFM Analysis, CLV, Cohort Analysis, Churn Analysis, and Revenue Forecasting.
Cloud-Based Retail Analytics Platform Using Snowflake and Streamlit
January 1, 2026 – June 1, 2026
Developed a cloud-based retail analytics platform using Snowflake, Python, SQL, and Streamlit to analyze 390,000+ retail transactions. Implemented ETL pipelines, interactive BI dashboards, and advanced Snowflake features including Views, Stored Procedures, Streams, Tasks, and RBAC for enterprise-grade analytics and automation.
Employee Productivity Monitoring System (AWS Cloud)
January 1, 2026 – June 1, 2026
Developed a cloud-based system to track and analyze employee activity in real time using AWS Lambda for automated data processing. Utilized Amazon S3 and DynamoDB for secure data storage and management, and built dashboards to visualize productivity metrics and generate reports.
AI Workspace - Generative AI Applications
January 1, 2026 – June 1, 2026
Developed and integrated LLM-based chat interfaces into the AI workspace, facilitating rapid prototyping of generative AI tools and accelerating project timelines by 25
View ProjectAWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Google Analytics Certification
Google Skillshop
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests in data analytics, cloud, and AI, aligning with a dynamic, learning-oriented culture. Involvement in college clubs and training activities suggests a proactive and collaborative mindset. The diversity of projects, from retail analytics to autonomous vehicles and generative AI, indicates a willingness to explore different domains, which is beneficial for cultural fit in an innovative environment. However, the experience level is entry-level, which might require more mentorship.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, communication, and team collaboration as professional skills. Participation in an Agile environment during an internship suggests adaptability. Training 900+ students in Generative AI indicates strong communication and mentoring potential. However, without specific psychometric or communication test results, a deeper assessment of these soft skills and operational fit is limited.