Abhinav Mandal

About Abhinav Mandal

I am a data analyst with over two years of experience transforming complex datasets into actionable insights and AI-powered solutions that drive business decisions. I hold a Bachelor’s degree in Electronics and Telecommunication Engineering from Nagpur University and recently completed my Master’s in Information Systems at Pace University in New York. In my most recent role at Bright Mind Enrichment & Schooling, I developed and deployed data science models that enhanced outreach efficiency by 35%, automated data pipelines using Python and SQL, and implemented governance frameworks to ensure ethical AI compliance. I also conducted deep-dive analyses of socio-economic data to support program development and funding efforts. Previously at Growel, I built predictive models that optimized aquaculture feed, automated reporting systems, and leveraged statistical methods to improve product innovation. My technical proficiency includes tools and languages such as Python, SQL, Tableau, Power BI, Snowflake, and machine learning libraries like Scikit-learn and TensorFlow. Outside of work, I enjoy attending tech meetups, exploring emerging technologies, playing cricket, cooking, and traveling. I’m actively seeking roles in data analytics, business analytics, or software engineering, where I can apply my technical and analytical skills to solve real-world challenges and deliver business value.

Experience

1. Bright Mind

   Oct 2024 — Present · US

   Designed and implemented machine learning models that increased the effectiveness of educational outreach by 40%, enabling targeted support for underserved student groups.Automated data pipelines using Python and SQL, reducing manual data handling by 60% and cutting report generation time from 2 hours to 15 minutes.Created Power BI dashboards that tracked key wellness and academic indicators, leading to a 25% improvement in stakeholder decision-making accuracy and speed.Analyzed behavioral and engagement data for over students, helping identify and intervene with at-risk youth, contributing to a 15% boost in retention.Led a cross-functional analytics initiative that helped secure in grant funding by providing data-backed evidence of program effectiveness.Built and deployed an NLP model that processed feedback responses, providing sentiment analysis that improved satisfaction scores by 22%.Conducted A/B testing on digital learning tools, resulting in a 30% increase in student engagement with tech-assisted modules and apps.Standardized data governance practices across 4 programs, improving data accuracy by 35% and establishing audit-ready pipelines for compliance.

Education

• Pace University

  Master's degree

  2022 — 2024

• SB Jain Institute of Technology Management and Research, Yerla

  Bachelor of Engineering - BE

  2018 — 2022

• DELHI PUBLIC SCHOOL KAMPTEE ROAD NAGPUR

  Higher education

  2008 — 2018