Help & Supportcareers@gravityer.com
Data Engineer with 1+ years in SQL & Python for Financial Data Operations
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 and aspiring Data Engineer with hands-on experience at Morningstar India, specializing in SQL, Snowflake, Python, and PySpark for large-scale financial data operations. Built and shipped COHO a full-stack internal data platform used by the Private Markets team to automate LP fund filing ingestion, AI-powered entity extraction, and fund reconciliation at scale. Experienced across the full data lifecycle — pipeline architecture, ETL design, validation, and delivery — with a strong foundation in private markets data, cloud infrastructure (Snowflake, Azure), and production-grade AI tooling.
Osmania University
B.E. · Electronics and Communication Engineering
N/A – June 30, 2024
Morningstar India
Data Analyst
January 1, 2025 – Present
India
Labit Agro Pvt. Ltd.
Full-Stack Developer Intern
September 1, 2024 – December 1, 2024
India
Echo-Vision: Auditory Guidance System for the Visually Impaired
June 18, 2026 – Present
Developed a real-time embedded assistive system using computer vision models, ultrasonic sensors, and text-to-speech to provide audio-based navigation guidance; achieved 90%+ obstacle detection accuracy through iterative real-world testing. Awarded Best Final Year Project (2024).
COHO - Internal AI Data Platform for Private Markets (Morningstar)
June 18, 2026 – Present
Designed and delivered a full-stack internal data platform adopted by Morningstar's Private Markets Secondary team to replace manual LP filing workflows — covering the complete pipeline from document ingestion to validated, analyst-ready structured output. Core platform architecture: batch document queue manager → OCR extraction layer → LLM-based entity parser (Groq llama-3, adaptive 8b/70b model routing by complexity) → fuzzy-match fund resolver against PitchBook reference data → editable validation interface → 22-column CSV export per filing. Implemented intelligent LLM token and capacity management for a shared team API key, dynamically routing filings between fast and high-accuracy models to balance throughput and extraction quality at scale. Delivered as a self-contained portable application with embedded runtime, enabling zero-setup deployment for non-technical analysts — no installation, no configuration, no dependencies. Impact: ~70% reduction in manual processing time per filing cycle; full adoption across the analyst team within weeks of launch.
Microsoft Azure Data Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
AWS Certified Cloud Practitioner (In Progress)
AWS
June 1, 2026 – Present
Google Cloud Skill Badge – BigQuery for Data Analysts
June 1, 2026 – Present
Financial Markets
Yale University (Coursera)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with both academic (Echo-Vision) and professional (COHO) projects, coupled with their pursuit of multiple cloud certifications, demonstrates a diverse skill set and a proactive learning attitude. Their involvement in organizing technical events suggests a collaborative and community-oriented mindset. The COHO project's impact on reducing manual processing time by ~70% and achieving full adoption indicates a results-driven and impactful approach, aligning well with a performance-oriented culture. The breadth of technologies and domains (AI, finance, embedded systems, full-stack web) suggests adaptability and a willingness to tackle varied challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by the complex COHO platform development and the Echo-Vision project. Their ability to package a technical solution for non-technical users (COHO) indicates good user empathy and a practical approach to deployment. The description of leading a team for technical events suggests leadership potential and collaboration skills. The candidate's proactive pursuit of multiple cloud certifications indicates a strong drive for continuous learning and adaptability.