Akanksha Kumari profile photo 1 on Tal

Akanksha Kumari

| IGDTUW | Final Year | Head Coordinator @Taarangana | AI/ML Learner | Aspiring Web Developer | Mentee LeanIn |

Delhi

< 1 year of work experience

Hackathon Project – Noumar (KakushIN 9.0)
Jan 20253 mosMar 2025

Built an AI-driven sustainable platform using Python, Flask, and TensorFlow for event discovery and real-time assistance. Collaborated in a team of 4, handling ML pipeline design and integration with front-end. Achieved 85% model accuracy in live prediction systems, driving higher user engagement. Optimized training pipeline using GPU acceleration, cutting model training time by 25%.
Full – Stack & ML Development (Project Internship)
Jun 20237 mosDec 2023

Created a dashboard in React.js + MongoDB that reduced report generation time from 2 hours to 15 minutes. Automated preprocessing pipeline (handling 1M+ records) using Python, Pandas, and NumPy. Accelerated ML-based decision-making speed by 30% through optimized data storage and query mechanisms. Deployed the dashboard on AWS EC2, improving accessibility for 50+ internal users. Integrated API-based data fetching to ensure real-time updates, reducing manual intervention by 40%.

Education

Indira Gandhi Delhi Technical University for Women

Computer Engineering

Indira Gandhi Delhi Technical University for Women

Indira Gandhi Delhi Technical University for Women

Bachelor of Technology

Indira Gandhi Delhi Technical University for Women

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Headline

| IGDTUW | Final Year | Head Coordinator @Taarangana | AI/ML Learner | Aspiring Web Developer | Mentee LeanIn |

Location

Delhi

Work experience

Machine Learning Engineer at Hackathon Project – Noumar (KakushIN 9.0), Jan 2025 - Mar 2025 · 3 mos, Built an AI-driven sustainable platform using Python, Flask, and TensorFlow for event discovery and real-time assistance. Collaborated in a team of 4, handling ML pipeline design and integration with front-end. Achieved 85% model accuracy in live prediction systems, driving higher user engagement. Optimized training pipeline using GPU acceleration, cutting model training time by 25%.

Data Engineer at Full – Stack & ML Development (Project Internship), Jun 2023 - Dec 2023 · 7 mos, Created a dashboard in React.js + MongoDB that reduced report generation time from 2 hours to 15 minutes. Automated preprocessing pipeline (handling 1M+ records) using Python, Pandas, and NumPy. Accelerated ML-based decision-making speed by 30% through optimized data storage and query mechanisms. Deployed the dashboard on AWS EC2, improving accessibility for 50+ internal users. Integrated API-based data fetching to ensure real-time updates, reducing manual intervention by 40%.

Education

Computer Engineering, Indira Gandhi Delhi Technical University for Women

Bachelor of Technology, Indira Gandhi Delhi Technical University for Women

Akanksha Kumari - Machine Learning Engineer in Delhi | Tal