Subodh Lonkar

Work Experience

It’s easy to do great work when you believe in what you do!

Organizations I've been Associated with

Lead Cloud AI/ML Engineer

Roche

Data Scientist

A. P. Moller - Maersk

Data Scientist

XPO

Data Analytics & Automation Associate

Community Brands

My Contributions

Lead Cloud AI/ML Engineer

Roche

Oct 2023 - Present

Roche is a healthcare giant headquartered in Switzerland, specializing in pharmaceuticals and diagnostics. It's renowned for innovative treatments in oncology, immunology, infectious diseases, and more. With a history dating back over a century, Roche is a leader in personalized healthcare, aiming to improve patient outcomes worldwide. Its commitment to research and development drives advancements in medical science and patient care.

Contribution Summary:

Promoted to the role of Lead Cloud AI/ML Engineer.
Exploring applying GenAI techniques for state-of-the-art Drug Discovery.
Developed a Proof of Concept (POC) for searching through petabytes of scientific and patient data using natural language search queries, addressing the challenge of efficient information retrieval from large-scale datasets. Evaluated and compared various Large Language Models (LLMs) trained on medical datasets, utilizing Retrieval-Augmented Generation (RAG) to incorporate Roche-specific data and enhance model performance.
Designed the complete system architecture for deploying the LLM model, utilizing AWS services like SageMaker, Lambda, and OpenSearch to ensure scalability and accessibility. Piloted the model for business stakeholders, successfully demonstrating its potential value.

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Data Scientist

A. P. Moller - Maersk

Mar 2023 - Oct 2023

A. P. Moller - Maersk is the world's largest shipping company, with a significant presence in logistics and energy sectors. Founded in 1904, it operates a vast fleet of container vessels, connecting global trade routes. Maersk's innovative solutions drive efficiency in maritime transport, shaping the logistics landscape worldwide. With a legacy of over a century, it continues to lead the industry in scale, sustainability, and technological advancements.

Contribution Summary:
• Played a key role in the Global Data Analytics - IoT & Automation team, driving data-driven decision-making across various business functions by leveraging expertise in working with financial data, IoT sensor & asset data interpretation to develop solutions for diverse business challenges.
• Performed Root Cause Analysis (RCA) for asset breakdowns across A. P. Moller Terminals Terminals, utilizing EDA and text mining to identify root causes and frequency of failures for individual components. Collaborated effectively with stakeholders to gain deep understanding of the problem and delivered actionable insights for optimizing on-ground business processes.
• Designed, developed and implemented an asset failure prediction model from scratch for APMT, achieving a 74% recall rate and projected savings of ~$3M per year per terminal through optimized preventive maintenance strategies. This solution significantly reduced total machine downtime by predicting when a particular component in an asset will undergo failure & generates recommendations for robust maintenance strategy.

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Data Scientist

XPO

Aug 2021 - Mar 2023

XPO is a global transportation and logistics company based in the United States. It stands out as a major player in less-than-truckload (LTL) freight shipping, particularly in North America. XPO’s extensive network of locations and trucks efficiently move goods across the continent. Beyond North America, it also offers transportation services in Europe, including truckload options and freight forwarding. It offers a comprehensive suite of services, including freight brokerage, warehousing, and last-mile delivery. Known for its advanced technology and efficient supply chain solutions, XPO is a leader in the global logistics industry and a key player in shaping the future of logistics.

Contribution Summary:

Received recognition for outstanding contributions in the LTL IT R&D team, earning a promotion to the role of Data Scientist.
Performed comprehensive Exploratory Data Analysis (EDA) across diverse datasets: financial, IoT, and geospatial, leveraging data-driven insights to inform strategic decision-making. Utilized advanced retracing and remapping techniques to pinpoint vehicle locations and validate sensor-generated data, ensuring its accuracy and usefulness for downstream applications. Extracted valuable insights uncovering hidden patterns and trends.
Analyzed IoT data quality by leveraging Data Analysis Techniques to determine optimal vendors, leading to a 28% improvement in data reliability and subsequently ensured (almost) real time and accurate vehicle tracking.
Developed end-to-end Machine Learning (ML) solutions, utilizing Cloud Services like BigQuery, BQML, Vertex AI, Cloud Functions, Pub/Sub, Kubeflow, Cloud Storage and LookerStudio for end-to-end model development and deployment. Designed robust production monitoring and online training systems for continuous. improvement and performance optimization. Collaborated closely with senior leadership, including the VP of Technology, Senior Manager of Technology, and Manager of Data Science, to ensure project alignment and address key challenges.
Successfully implemented a Computer Vision (CV) solution for extracting information from Delivery Receipts. Improved the existing algorithm's accuracy from 97% to 98.5% in v2.0, leading to adding a revenue of over $12M annually and a 33% reduction in human feedback, demonstrating expertise in model optimization and real-world impact.
Uncovered critical business insights through exploratory data analysis, identifying a $4M annual loss due to empty pickups and a missed revenue of $11M due to missed pickups. Findings gained traction, influencing decisions from the VP of Technology and Director of Data Science. Further proposed process optimizations to address identified financial leakages.

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Data Analytics & Automation Associate

Community Brands

Aug 2019 - Aug 2021

Community Brands is a product based software and technology company catering to the nonprofit and association sectors. It provides a range of solutions, including membership management, event management, and fundraising software. Established to serve the unique needs of these organizations, Community Brands empowers over 50,000 organizations globally to achieve their missions more effectively.

Contribution Summary:

Applied ML techniques to identify customer acquisition patterns, contributing to an increase in potential customer leads in collaboration with R&D leadership.
Utilized Data Analysis & ML techniques to extract insights from customer requirements, informing targeted acquisition strategies alongside R&D management.
Collaborated closely with R&D Manager and Director to analyze customer requirements, fostering a data-driven approach to acquisition within the R&D team.
Produced concise and impactful 6-page reports summarizing key findings from research activities, driving informed decision-making within the R&D team.
Translated technical data into actionable insights through well-structured and visually appealing reports, facilitating clear communication of R&D outcomes.
Recognized for excellence in role with Spot Awards, demonstrating consistent high performance and dedication.
Leveraged the knowledge in data analysis to proactively conduct technical seminars for R&D colleagues, fostering knowledge sharing and collaboration.

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