Sreenivasulu Puli

Experience

• 

  Indian Institute of Management Bangalore

  Nov 2009 - Aug 2011

  Research Associate

  As a Research Associate at IIM Bangalore, I provided advanced data and analytics consulting to faculty, PhD scholars, and MBA students, supporting high-impact research and academic projects across domains such as finance, economics, and public policy.Key Contributions:Acted as a key data consultant, helping researchers procure, clean, and analyze large datasets from reputed sources including Bloomberg, CMIE Prowess, and Thomson Reuters.Delivered end-to-end data support, including data extraction, preprocessing, and transformation using tools like SAS, R, SPSS and SpotfireDeveloped automated workflows using SQL Server Integration Services (SSIS) to streamline repetitive data operations and improve research efficiency.Assisted researchers in building custom dashboards and visualizations using Spotfire, enabling data-driven insights and storytelling.Supported faculty members and doctoral students in applying statistical and econometric techniques, guiding them on the next steps for empirical analysis and model building using SAS.Collaborated closely with cross-functional academic teams to ensure data integrity, reproducibility, and robust analytical methodologies. Show less

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  Indian School of Business

  Aug 2011 - Jun 2014

  Research Associate

  Worked closely with Prof. Deepa Mani and other distinguished faculty members at ISB, contributing to cutting-edge research in technology, innovation, and economics. My role focused on transforming complex research frameworks into actionable insights through advanced data engineering, real-time analytics, and visual storytelling.Key Contributions:Developed real-time analytical models and dashboards to uncover actionable insights using data from global and national sources like Bloomberg, WRDS, CMIE Prowess, and Thomson Reuters.Translated academic research frameworks into data-driven prototypes, leveraging SAS (Base & Advanced) for deep statistical analysis and live data connections.Used R, Python, and SPSS to perform robust quantitative analysis and predictive modeling as per the evolving needs of research design.Designed and deployed interactive visualizations and dashboards using Spotfire and Tableau to support data storytelling and academic presentations.Delivered data solutions in close collaboration with multiple professors and PhD researchers, providing continuous support in data acquisition, wrangling, model development, and report generation.Enabled research projects to stay industry-relevant and insight-driven, by integrating world-class datasets and latest analytical techniques into the academic workflow. Show less

• 

  Cyient

  Jun 2014 - now

  As a Lead Data Scientist at Cyient, I’m driving AI-powered automation solutions in the rail transportation sector, with a strong focus on subsystem failure prediction for components like brakes, batteries, and doors. I lead the design and development of end-to-end data pipelines, transforming real-time sensor streams into actionable insights and dashboard-based alerts.In addition to predictive analytics, I’ve implemented test automation frameworks using Python to ensure system reliability and performance. My role also involves managing Azure cloud services, including Databricks, Data Lake, and DevOps pipelines, ensuring scalable deployment and seamless integration across analytics solutions. Show less As a Senior Data Scientist, I led end-to-end AI and ML initiatives in the mining, industrial automation, and healthcare domains. My work focused on real-time classification, predictive modeling, and data-driven decision support. I specialized in designing and deploying deep learning models for sensor and video-based analytics while maintaining model lifecycle management using modern tools and cloud environments.One of my key projects involved automating the classification of Heavy Construction Machinery (HCM) activities using deep learning techniques such as CNN, RNN, LRCN, and YOLO. By processing video feeds in formats like .mp4 and .avi, I developed a custom neural network-based system to classify actions like digging, dumping, and transferring. These models were optimized using the NVIDIA CUDA toolkit to enhance GPU-based performance. Additionally, I developed operational dashboards for BHP’s mining operations using PostgreSQL, PL/SQL, and Power BI to provide insights into equipment utilization and performance.In the pharmaceutical domain, I contributed to clinical trial data analytics by managing and analyzing trial data using SAS (Base and Advanced). I ensured compliance with CDISC standards (SDTM/ADaM) and developed statistical reports, including TFLs and interim analyses, supporting regulatory submissions across clinical trial phases. My work involved ensured data quality and compliance across phases (Phase I–III), close coordination with medical writers and CRO teams, ensuring high data quality and reproducibility. Show less (Part of startup data science firm Invati Insights Pvt Ltd, later rebranded as Cyient Insights following Cyient’s 51% acquisition in 2014 and full acquisition in May 2018)As a Data Scientist, I led and delivered numerous AI-driven solutions across industries such as transportation, aerospace, and heavy machinery, with a strong focus on sensor data analytics, predictive maintenance, and real-time health monitoring. I designed and deployed end-to-end data pipelines, developed advanced ML models, and delivered scalable solutions using Azure Databricks, ADF, Data Lake, and CI/CD pipelines.I built descriptive, diagnostic, predictive, and prescriptive models tailored to client-specific challenges, while creating interactive dashboards with Power BI and Tableau to monitor assets like elevators, mining trucks, trains, and aero engines. My ETL workflows using Python, SQL, and Alteryx enabled efficient handling of high-frequency sensor and ERP data.Major Projects:ThyssenKrupp Elevators: Led predictive maintenance for 100K+ global elevators, developing failure prediction models and a technician recommendation system.Caterpillar (ECA Division): Built dealer-facing health monitoring dashboards for mining trucks, improving equipment uptime through condition-based analytics.Pratt & Whitney: Designed and deployed ML solutions for early detection of combustion distress in aero engines, supporting real-time diagnostics.VR Trains (Finland): Worked onsite to implement predictive models for wheel wear profiling using SAS, enhancing operational safety and component lifespan.Other Initiatives:Developed OCR-based tools for extracting text from scanned documents and asset images using image analytics and Python. Show less

  • Lead Data Scientist

    Sept 2023 - now

  • Senior Data Scientist

    Jul 2021 - Aug 2023

  • Data Scientist

    Jun 2014 - Jun 2021