Abhinandan Mukherjee

Lead Data Scientist and AI Architect

Deloitte•  January 2021 - Present

- Led the development of AI solutions for predictive maintenance in supply chain logistics. - Pioneered anomaly detection using CNNs and LSTM for operational efficiency. - Orchestrated maintenance scheduling platform with Deep Reinforcement Learning. - Designed advanced maintenance log chatbot leveraging LLMs and prompt engineering. - Developed real-time acoustic diagnostic tools using deep learning for machinery health. - Emphasized MLOps for rapid iterations and efficient model deployments. - Championed agile methodologies in cross-functional team collaborations. - Bolstered operational robustness using Generative AI for transformative solutions. - Utilized Google Cloud Platform (GCP) for scalable AI infrastructure and deployments. - Continuously enhanced predictive models and algorithms with iterative feedback.- Led the development of AI solutions for predictive maintenance in supply chain logistics. - Pioneered anomaly detection using CNNs and LSTM for operational efficiency. - Orchestrated maintenance scheduling platform with Deep Reinforcement Learning. - Designed advanced maintenance log chatbot leveraging LLMs and prompt engineering. - Developed real-time acoustic diagnostic tools using deep learning for machinery health. - Emphasized MLOps for rapid iterations and efficient model deployments. - Championed agile methodologies in cross-functional team collaborations. - Bolstered operational robustness using Generative AI for transformative solutions. - Utilized Google Cloud Platform (GCP) for scalable AI infrastructure and deployments. - Continuously enhanced predictive models and algorithms with iterative feedback. Skills: Project Management · Software Design · MLOps · Google Cloud Platform (GCP) · Signal Processing · Natural Language Processing (NLP) · Reinforcement Learning

Senior Machine Learning Engineer

T-Systems•  October 2019 - December 2020

- Spearheaded AI initiatives aimed at reshaping the telecom landscape for a major telecom group. - Leveraged advanced NLP techniques to craft automated executive reports, synthesizing vast datasets. - Led a customer retention project using Deep Learning and analytics to identify churn risks. - Collaborated closely with European counterparts for global vision alignment. - Championed agile methodologies, ensuring quality and timeliness in project deliveries. - Utilized tools like PySpark, TensorFlow, and BERT for state-of-the-art machine learning solutions. - Paved the way for personalized telecom solutions via intricate data analytics. - Facilitated regular team sync-ups, nurturing innovation and fostering collaboration. - Managed inter-departmental harmony, driving AI and ML initiatives to successful fruition.- Spearheaded AI initiatives aimed at reshaping the telecom landscape for a major telecom group. - Leveraged advanced NLP techniques to craft automated executive reports, synthesizing vast datasets. - Led a customer retention project using Deep Learning and analytics to identify churn risks. - Collaborated closely with European counterparts for global vision alignment. - Championed agile methodologies, ensuring quality and timeliness in project deliveries. - Utilized tools like PySpark, TensorFlow, and BERT for state-of-the-art machine learning solutions. - Paved the way for personalized telecom solutions via intricate data analytics. - Facilitated regular team sync-ups, nurturing innovation and fostering collaboration. - Managed inter-departmental harmony, driving AI and ML initiatives to successful fruition. Skills: Project Management · Software Design · MLOps · Deep Learning · Natural Language Processing (NLP) · PySpark · BERT

Machine Learning Engineer

Tata Consultancy Services•  May 2018 - October 2019

- Spearheaded anomaly detection solutions for large-scale trading systems, optimizing PoC into production-grade deployment. - Developed an NLP-driven investment advisor chatbot utilizing Deep Learning, enhancing personalized investment recommendations. - Embraced MLOps principles for seamless model lifecycle management, ensuring optimal performance and continuous monitoring. - Leveraged Generative AI techniques to craft innovative solutions tailored to BFSI sector demands. - Collaborated cross-functionally to integrate ML solutions with business operations, amplifying financial tech advancements. - Advocated for and practiced agile methodologies to drive efficient project timelines and quality deliverables. - Utilized tools like PySpark, TensorFlow, and BERT to ensure state-of-the-art ML application in BFSI solutions. - Demonstrated expertise in handling large datasets and complex ML architectures to tackle nuanced BFSI challenges.- Spearheaded anomaly detection solutions for large-scale trading systems, optimizing PoC into production-grade deployment. - Developed an NLP-driven investment advisor chatbot utilizing Deep Learning, enhancing personalized investment recommendations. - Embraced MLOps principles for seamless model lifecycle management, ensuring optimal performance and continuous monitoring. - Leveraged Generative AI techniques to craft innovative solutions tailored to BFSI sector demands. - Collaborated cross-functionally to integrate ML solutions with business operations, amplifying financial tech advancements. - Advocated for and practiced agile methodologies to drive efficient project timelines and quality deliverables. - Utilized tools like PySpark, TensorFlow, and BERT to ensure state-of-the-art ML application in BFSI solutions. - Demonstrated expertise in handling large datasets and complex ML architectures to tackle nuanced BFSI challenges. Skills: Software Design · MLOps · Deep Learning · Chatbot Development · Natural Language Processing (NLP) · BERT

Data Scientist

capgemini•  August 2016 - April 2018

- Pioneered AI-powered real-time fraud detection solutions, integrating Spark Streaming for seamless transaction processing. - Designed and deployed advanced clustering algorithms for customer segmentation, driving targeted marketing strategies. - Orchestrated end-to-end development of an AI-driven credit assessment tool, streamlining risk management and lending decisions. - Developed predictive analytics models for proactive customer churn identification, formulating effective retention strategies. - Collaborated with cross-functional teams, ensuring alignment with business objectives and maximizing ROI from AI initiatives. - Utilized a diverse toolkit of Machine Learning algorithms and techniques to address multifaceted business challenges. - Played a pivotal role in feature engineering, ensuring model robustness and applicability to real-world scenarios. - Championed the agile methodology, ensuring rapid iterations and timely deployments of AI solutions in diverse domains.- Pioneered AI-powered real-time fraud detection solutions, integrating Spark Streaming for seamless transaction processing. - Designed and deployed advanced clustering algorithms for customer segmentation, driving targeted marketing strategies. - Orchestrated end-to-end development of an AI-driven credit assessment tool, streamlining risk management and lending decisions. - Developed predictive analytics models for proactive customer churn identification, formulating effective retention strategies. - Collaborated with cross-functional teams, ensuring alignment with business objectives and maximizing ROI from AI initiatives. - Utilized a diverse toolkit of Machine Learning algorithms and techniques to address multifaceted business challenges. - Played a pivotal role in feature engineering, ensuring model robustness and applicability to real-world scenarios. - Championed the agile methodology, ensuring rapid iterations and timely deployments of AI solutions in diverse domains. Skills: Data Science · Machine Learning · XGBoost · Statistical Modeling · Python · SQL · Logistic Regression · Decision Trees · Bayesian statistics

Software Engineer

Cognizant Technology Solutions•  November 2013 - July 2016

- Initiated into the professional realm, taking on substantial roles in data analytics and big data projects within the BFSI sector. - Spearheaded the creation of robust data pipelines, laying the groundwork for scalable data migration and real-time integration. - Developed a comprehensive data analytics platform on real-time processing, visualization, and predictive modeling. - Collaborated with teams to design and implement ETL processes, optimizing data flow and ensuring quality outputs. - Engaged with cross-functional units, translating business requirements into actionable data-driven solutions. - Integrated solutions within BFSI client infrastructures, enabling enhanced risk analysis, fraud detection, and customer insights. - Fostered team collaboration through regular meetings and workshops, promoting a culture of continuous learning and improvement. - Embraced challenges as a novice, rapidly adapting to technological advancements and ensuring high-quality project deliverables.- Initiated into the professional realm, taking on substantial roles in data analytics and big data projects within the BFSI sector. - Spearheaded the creation of robust data pipelines, laying the groundwork for scalable data migration and real-time integration. - Developed a comprehensive data analytics platform on real-time processing, visualization, and predictive modeling. - Collaborated with teams to design and implement ETL processes, optimizing data flow and ensuring quality outputs. - Engaged with cross-functional units, translating business requirements into actionable data-driven solutions. - Integrated solutions within BFSI client infrastructures, enabling enhanced risk analysis, fraud detection, and customer insights. - Fostered team collaboration through regular meetings and workshops, promoting a culture of continuous learning and improvement. - Embraced challenges as a novice, rapidly adapting to technological advancements and ensuring high-quality project deliverables. Skills: Software Design · Java · MapReduce · DevOps · Machine Learning · Python · PySpark · SQL · Hadoop · Hive