Ahilya Shinde

I’m Ahilya Shinde, a passionate Data Analyst and aspiring Data Scientist with a strong foundation in machine learning, predictive modeling, and business intelligence. I specialize in transforming complex datasets into clear, actionable insights that drive smarter decisions and measurable business impact.

Currently completed my Master’s in Data Science at Amity University, I’ve gained hands-on experience through impactful projects and internships—ranging from predictive maintenance modeling to automating KPI dashboards and optimizing delivery routes using Ant Colony Optimization.

My technical toolkit includes Python, R, SQL, Tableau, Power BI, and Snowflake, alongside strong analytical and problem-solving skills. I’m deeply motivated by the challenge of using data to uncover hidden patterns, improve efficiency, and enable data-driven strategies.

Data Analyst with hands-on experience in data migration, automation, and machine learning. Currently part of Colgate’s Data Architecture team, where I streamline reporting by automating KPI dashboards and validating large-scale data migrations to Snowflake using Python and R.

Previously developed a predictive maintenance model during an ML internship to reduce equipment downtime and improve reliability. At AI Variant, enhanced data quality processes, automated dashboards, and optimized SQL queries to accelerate insights.

Skilled in data analysis, visualization, and predictive modeling, with a strong focus on delivering efficient, accurate, and business-driven analytics solutions.

completed a Master of Science in Data Science at Amity University, Gurgaon (2023–2025) with a CGPA of 8.0
Coursework includes Machine Learning, Data Mining, Statistics, Time Series Analysis, Database Management, and Big Data Technologies, providing a strong foundation in both analytical and technical aspects of data science.