Machine Learning Intern @ Forage | Quantum
š Data Scientist & ML Engineer | Specializing in scalable pipelines & predictive AI ā” Track Record: Processed 3.7M+ records | Boosted model $R^2$ to 0.86 š ļø Tech Stack: Python ā¢ SQL ā¢ AWS ā¢ Snowflake ā¢ Scikit-Learn š” Focus: Building sub-200ms analytics engines & high-accuracy NLP/LLM systems
1 attempting
Most used languages
Experience
Machine Learning Intern
Forage | Quantum Ā· Remote
Jun 2025 ā Jul 2025 Ā· 1 mo
Engineered an end-to-end forecasting pipeline processing 3.7M+ Zillow records (2.3GB), slashing dimensionality by 91.4% while improving MAE by 98.4% over baseline. Integrated an automated drift-monitoring system triggering model retraining at >2% MAPE deviation, and applied K-Means clustering to segment 13k+ regions for risk-reward analysis.
Power BI Intern
Forage | PwC Ā· Remote
Oct 2024 ā Nov 2024 Ā· 1 mo
Built enterprise Power BI hubs featuring 15+ custom DAX measures and interactive matrix heatmaps, cutting high-attrition risk isolation time by 40%. Engineered a zero-fault Power Query ETL pipeline for workforce data and designed a Call Centre analytics engine tracking 5,000+ interactions with an 81% resolution rate.
Power BI Intern
Forage | TCS Ā· Remote
Sept 2024 ā Oct 2024 Ā· 1 mo
Designed interactive global sales dashboards across 12 countries, pinpointing top-performing regions and identifying a 120% seasonal revenue surge. Built dual-axis and geographic heat maps analyzing quantity vs. revenue to support strategic resource allocation.
Education
Master of Computer Applications Information Technology
MIET, AKTU, Meerut
2025 ā 2027
Bachelor of Computer Applications Information Technology
IMS, CCS, Ghaziabad
2023 ā 2025
Class XII Commerce
Vanasthali Public School, Delhi
2021 ā 2022
Class X General
Vanasthali Public School, Delhi
2019 ā 2020
Skills & stack
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