AAKANKSHA JAIN

LinkedIn: jainaakanksha11

ResearchGate: Aakanksha-Jain-7

Credly:aakanksha-jain.53b9c529

PROFESSIONAL SUMMARY

I am a passionate Azure AI Engineer seeking a challenging role in the Machine Learning/Data Science/Data Engineering domain. My objective is to join an organization that offers a strong platform for career growth and allows me to leverage my skills to contribute to the organization's mission and goals. With a background as an MCT and Subject Matter Expert, I possess extensive experience in Data Science and Data mining. Furthermore, my research and writing accomplishments include 2 Patents, 8 Research papers published in international journals and conferences, and 5 Book chapters.

These accomplishments showcase my involvement in prestigious national-level events and my recognition for contributions to the successful launch of an E-Learning application.

• Serve as Evaluator in National level Event under ‘AatmaNirbhar Bharat Abhiyan' initiated by our Hon'ble Prime Minister, Shri Narendra Modi, Toycathon-2021
• Served in a National level Event ‘Smart India Hackathon (SIH)', 2022 edition, organized by AICTE and MoE's Innovation Cell as a Pre-Screening Evaluator
• Received the " Proactiveness Value Award " from CloudThat, recognizing my contribution to the launch of the CloudAttack E-Learning application , co-founded by CEO Mr. Bhavesh Goswami

Microsoft Certified: Azure AI Engineer Associate (AI-102)

• Predictive Maintenance System : Developed a predictive maintenance system using Azure Machine Learning. Reduced downtime and optimized resources through proactive maintenance scheduling.
• Customer Churn Prediction : Created a churn prediction model using Azure Machine Learning. Enabled proactive retention measures to reduce customer churn.
• Sentiment Analysis for Social Media : Developed a sentiment analysis system using Azure Cognitive Services. Analyzed sentiment trends for brand monitoring and customer feedback analysis.
• Object Detection and Recognition : Built an object detection and recognition system using Azure Custom Vision. Enabled real-time object detection and classification for applications such as security surveillance and inventory management.
• Fraud Detection : Implemented a fraud detection system for a financial institution using Azure Machine Learning. Developed a real-time fraud detection pipeline to identify suspicious transactions.