Kunal Rai

Data and AI Analyst with 2+ years of experience across the full analytics lifecycle — from ETL pipeline design, SQL-driven reporting, and business intelligence dashboards to predictive modeling and machine learning workflows.

At Avyaan

Management, Samatrix.io, and Cosmic365.ai, I delivered end-to-end data solutions that improved data quality by 20%, cut reporting time by 40%, and enabled faster, data-backed decisions for leadership. Proficient in Python, SQL, Power BI, and ML frameworks with a strong foundation in statistical analysis, data modeling, and business process automation. Hands-on experience in computer vision data annotation and QA — adaptable across Data Analyst, Business Analyst, MIS, ML Engineer, and AI/ML roles.

Senior Data Analyst at Avyaan Management Pvt. Ltd. (2026-07 – Present)

• Owned end-to-end quality assurance and technical delivery for a multilingual AI training data collection program spanning 13+ language locales, operating beyond core BA scope into hands-on audio engineering and automation.
• Worked on computer vision annotation projects: analysed and annotated traffic signal lights, and annotated road and trucking scenes end to end, from barricades to outside views, with QA review against project guidelines.
• Designed and built Python automation pipelines integrating FFmpeg/FFprobe for audio verification, metadata extraction, and client-schema-compliant delivery, replacing manual per-file QA review.
• Diagnosed and resolved a critical audio verification defect that had caused a client-issued batch rejection, redesigning the check using signal-level analysis rather than metadata alone.
• Built market-benchmarked cost models (min/avg/max scenarios) across 13+ locale expansions, incorporating tiered pricing and margin-based client quote formulas.
• Evaluated and negotiated with third-party vendor platforms for enterprise-scale audio recording infrastructure, resolving platform-level technical defects to protect delivery timelines.

Data Analyst at Samatrix.io (2025-03 – 2026-07)

• Designed key business metrics and built aggregated SQL views to simplify querying for product and leadership teams — consolidating multi-source KPIs into a single Power BI dashboard that cut executive reporting time by 35%.
• Wrote complex SQL queries and window functions for cohort analysis, uncovering a 15% growth in high-value customer segments and presenting findings directly to stakeholders.
• Owned end-to-end ETL pipeline design using Python and Pandas — from raw data ingestion and transformation to clean, query-ready tables — saving 20 hours of manual work monthly and resolving cross-team data integrity issues.
• Forecasted seasonal demand by analyzing historical trends, raising budget efficiency by 10% and informing quarterly planning decisions.

Data Science & Machine Learning Analyst at Cosmic365.ai (2024-05 – 2025-04)

• Managed end-to-end data pipelines across 300+ hours of EDA and predictive modeling projects — handling ingestion, transformation, and validation workflows in Python.
• Cleaned and processed large, messy datasets to prepare them for machine learning models, improving data quality and reliability for downstream analysis.
• Applied feature engineering and hyperparameter tuning to improve model prediction accuracy, translating technical improvements into actionable business insights.
• Collaborated in an agile remote team to coordinate data pipeline delivery across contributors, meeting project milestones consistently throughout the COSMIC365 Expert Program.

Master of Computer Applications – Lakshmi Narain College of Technology, Bhopal (2022-05 – 2024-06)

Bachelor of Science in Minor in Computer Applications – Barkatullah University, Bhopal (2017-05 – 2020-12)