Sahil gaikwad
@sahilgaikwad1
I turn retail and supply-chain data into KPI dashboards, forecasts, and actionable business insights.
What I'm looking for
I've analyzed retail, supply-chain, and sales datasets using SQL, Python, Power BI, and machine learning to uncover pricing gaps, inventory inefficiencies, and operational risks.
In my Retail AI Intelligence System, I analyzed 500K+ records representing ₹550M+ in revenue, built a demand forecasting model with 96.27% accuracy, and created Power BI dashboards and a Streamlit prediction interface.
Through internships at FlyRank AI and Aivariant Pvt. Ltd., I've developed production-oriented ML models, automated Power BI reporting, performed EDA and data cleaning, and applied NLP and statistical techniques to support data-driven decisions.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
FlyRank AI
Jul 2026 - Present (1 month)
Developed and evaluated machine learning models for production-oriented business applications. Performed feature engineering, model evaluation, and hyperparameter tuning to improve predictive performance.
Artificial Intelligence Intern
Aivariant Pvt. Ltd.
Nov 2025 - Feb 2026 (3 months)
Analyzed structured datasets using Python and SQL to generate actionable business insights. Developed automated Power BI reports and applied NLP and statistical techniques to extract patterns from real-world datasets.
Education
Degrees, certifications, and relevant coursework
Dr. Babasaheb Ambedkar College
Bachelor of Science, Mathematics
2021 - 2024
Grade: 7.85 CGPA
Pursued a Bachelor of Science in Mathematics, achieving a CGPA of 7.85.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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