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Data Analyst with 1+ years in Data Analytics & Machine Learning
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Data-driven Computer Science graduate with a Master's from Saint Louis University and hands-on experience in data analytics, machine learning. Skilled in Python, SQL, Azure, and AWS, I specialize in turning complex data into actionable insights and building scalable systems. From fake account detection on Instagram to Uber trip analysis and ETL pipeline development, I've delivered impactful solutions across social media, urban mobility, and retail domains. Proficient with Tableau, Power BI, and Spark, I bring a blend of analytical rigor to every project. Seeking roles in Data Analytics and Data Analyst to drive innovation and create data-powered solutions.
Saint Louis University
Master's · Computer Science
August 1, 2022 – June 30, 2024
Kalasalingam University
Bachelor's · Computer Science
August 1, 2018 – June 30, 2022
Brainwave Matrix Solutions
Data Analytics Intern
May 1, 2025 – Present
India
Unified Mentors
Data Analytics
February 1, 2025 – April 1, 2025
India
saint louis university
Research (Linux Deployment & Management)
October 1, 2023 – December 1, 2023
USA
Excelerate
Data Science Intern
August 1, 2023 – September 1, 2023
USA
Saint louis university Global grad SLU
Global grad SLU
August 1, 2022 – May 1, 2024
USA
Supermarket Sales Forecast & Customer Segmentation
June 1, 2026 – Present
• Led a project analyzing multi-branch supermarket data to uncover sales drivers and customer behavior. Utilized K-Means for customer clustering, Linear Regression for sales forecasting, and classification models like AdaBoost/XGBoost to refine product targeting. Created predictive models using SVM to inform inventory and marketing strategies.
Uber NYC Trip Data Analysis
February 1, 2025 – April 1, 2025
• Analyzed over 18 million NYC Uber/FHV ride records to extract patterns in demand, geography, and time. Built data pipelines and performed advanced cleaning and aggregation using SQL and Python. Applied ML models to predict peak ride hours and visualize traffic trends. Insights supported urban planning and ride-share optimization strategies.
Fake Account Detection on Instagram
August 1, 2022 – May 1, 2024
• Engineered a full-scale ML pipeline to detect fake/spam Instagram accounts, utilizing a manually labeled dataset with high accuracy. Led data cleaning and feature engineering in Python and SQL, and trained multiple supervised learning models focused on precision and recall. Developed Tableau dashboards to present behavioral insights, enabling better content moderation strategies for platform integrity.
SAP ABAP - Certified Technical Consultant
Unknown
June 1, 2026 – Present
Microsoft Certified: Azure Data Engineer Associate
Microsoft
June 1, 2026 – Present
AWS Certified Solutions Architect - Associate (SAA)
AWS
June 1, 2026 – Present
AWS Certified Data Engineer - Associate (DEA)
AWS
June 1, 2026 – Present
Career Skills in Data Analytics - Foundational Certificate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from urban mobility analysis to supermarket sales forecasting and fake account detection, indicates adaptability and a broad interest in applying data analytics to various domains. The experience in a research team and full-stack development projects, alongside core data roles, shows a versatile skill set. The pursuit of multiple certifications (AWS, Azure, SAP) demonstrates a proactive approach to skill development and a commitment to professional growth, aligning with a culture of continuous learning.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in project teams, strong communication skills for stakeholder interaction, and a focus on continuous learning. Experience with Agile methodologies and DevOps principles suggests a good operational fit for dynamic team environments. The ability to translate complex data into actionable insights for non-technical teams is a significant soft skill.