Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in data validation & ML pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 1+ year of hands-on experience at Amazon as an ML Data Associate, specializing in data validation, ETL pipeline monitoring, and KPI dashboard development using SQL, Excel, and Amazon QuickSight. Experienced in processing and analyzing large-scale datasets with 99%+ accuracy, building data quality reports, and delivering insights to cross-functional teams. Additional experience in software development at Bluestock Fintech, working with REST APIs and MongoDB for real-time financial data workflows. Proficient in Python (Pandas, NumPy), SQL, Power BI, and Advanced Excel. Currently pursuing MCA at Amity University Mumbai.
Amity University Mumbai
Master of Computer Applications (MCA)
August 1, 2025 – Present
M.L. Dahanukar College of Commerce, Mumbai
Bachelor of Science · Information Technology
August 1, 2021 – June 30, 2024
Amazon
ML Data Associate
March 1, 2025 – Present
Mumbai, Maharashtra, India
Bluestock Fintech
Software Development Engineer Intern
January 1, 2025 – February 1, 2025
Mumbai, Maharashtra, India
IPO Market Analytics and KPI Dashboard
June 23, 2026 – Present
Built an end-to-end ETL data pipeline ingesting 5,000+ financial records, normalizing JSON payloads and reducing manual data preparation time by 35%. Developed interactive Power BI dashboards with 50+ IPO metrics enabling real-time KPI monitoring and improving stakeholder reporting efficiency by 25%.
Network Monitoring System - Infotact Solutions
June 23, 2026 – Present
Developed a real-time network monitoring solution to capture and analyze live traffic data, track performance metrics, and visualize system health through interactive dashboards.
Iris Flower Classification - ML Data Pipeline
June 23, 2026 – Present
Engineered an end-to-end multi-class ML data pipeline using Random Forest Classifier - executing data preprocessing, feature extraction, train-test splitting (80/20), and achieving 100% model accuracy on validated datasets.
Certified Ethical Hacker (CEH) v13
EC-Council
June 1, 2026 – Present
Cybersecurity Analyst Job Simulation
Tata Group / Forage
June 1, 2026 – Present
Generative AI Productivity Skills
Microsoft and LinkedIn
June 1, 2026 – Present
Microsoft Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Microsoft Security, Compliance and Identity (SC-900)
Microsoft
June 1, 2026 – Present
Google Cybersecurity Specialization
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from network monitoring to financial analytics and ML pipelines, indicates a broad interest in data-related fields. The pursuit of a Master's degree while working, along with numerous certifications, shows a commitment to continuous learning and professional development. This proactive approach to skill acquisition and diverse project engagement suggests a good cultural fit for dynamic and growth-oriented environments.
Soft Skills & Operational Fit
The candidate demonstrates a results-oriented approach through quantifiable achievements (e.g., 35% reduction in data prep time, 25% improved reporting efficiency). Collaboration in Agile sprints indicates an ability to work effectively in team environments. The focus on data quality and real-time insights suggests a strong operational fit for roles requiring meticulous data handling and actionable reporting.