Data Science Lead candidate in Mumbai, Maharashtra, India

Summary

Profile Summary I leverage my 14+ years of experience in program management and leadership to drive significant improvements in organizational performance. My strong execution, analytics, and leadership skills have enabled me to manage strategic programs and implement innovative global solutions in over 80 countries, including Top 5 Lighthouse plants across multiple industries. Core Data Science Experience with more than 14+ years working into Engineering Industry 4.0 domain (Manufacturing, Oil & Gas Industry, Petrochemical Industry, Utility Industry like Smart City projects etc. ) and other multiple domain ( Retail Industry, Health Care Industry ,Banking & Finance Industry, Telecom Industry and etc.)
Solution Approach (Exploratory Analysis Diagnostic Analysis Predictive Analysis Prescriptive Analytics What-if Analysis)
GenAI LLM Skill Sets
Prototype Development: Experienced in building prototypes through dataset creation and model fine-tuning.
Model Fine-Tuning: Proficient in fine-tuning open-source LLMs (e.g., LORA, LLAMA 2/3) and proprietary models (e.g., GPT-3.5/4.0).
Retrieval-Augmented Generation (RAG): Skilled in advanced RAG systems, including chunking, indexing, and managing complex PDFs.
Agentic Workflows: Developed and implemented agentic workflows for various conversational agents.
Prompt Engineering: Strong expertise in crafting effective prompts for models like GPT-4 and Cloud 3.
Inference Frameworks: Familiar with inference frameworks, including VAM and advanced direct pipelines.
Data Engineering: Experienced in data engineering tasks, including ingestion, processing, and pipeline construction
Skill Sets
Data Science, Machine Learning, MLOps/ LLMOps, NLP ,Gen AI , LLM, Statistics , Reliability Analysis, Google Analytics
Cloud Services & Architecture AWS((Bedrock,SageMaker,Lamda S3),Azure, GCP (GCS,CloudRun,VertexAI,BigQuery,AutoML),SPSS ,Big Query, Data Pipeline ,ML Pipeline ,MLFlow, KubeFlow ,AirFlow , Kubernate , Data Robot
Data Visualization & Documentation Looker Studio , Data Studio ,Tableau , Qlikview , QlikSense
Coding Language & IDE - R Studio , Python , SAS , Visual Basic , SQL,C++, Java , Visual Studio Code, Spyder , Anaconda , Jupiter Notebook, Google Colab , PyCharm .
Industry 4.0 ,Project Management, AGILE, CRISP-DM, Sales Performance Management

Work Experience Holcim Services (Lafarge Holcim) as Sr.MLOps Lead ( Jan 2021 to Till Date ) My Current Role as Sr.MLOps Lead in Cement Manufacturing Industry - Plant of Tomorrow ( POT ) project to design the finest Predictive Maintenance Solution Product based on Clients requirement / problem statement and developed a scalable solution for mass level deployment purpose which can be easily deployed in any environment ( Plug and Play ) . Product type - On Equipment specific CBM (Condition Based Monitoring) PDM ( Predictive Maintenance ) PPDM ( Prescriptive based Predictive Maintenance ) All are products using AI/ML solution design on customer specific product development for Global stakeholders. I have designed & worked on Predictive Maintenance products: - Product Innovation (POC) - Product development ( MVP ) - Mass Level Deployment ( Roll-out ) - Product Enhancement
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Vitha Govind Society, Sector 20, Airoli , Navi Mumbai Contact /
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- Product Maintenance - Product support -Product Quality Assurance / Quality Control on 250+ products ( 1788 locations ( Plants )) Tools are used by customers with positive feedback.
As Sr.MLOps Leader ( Corporate IT - Global Head ) Core Responsibilities : Transformation and Digitalization programs in Holcim at a global scale ( 70+ countries ) Supporting Holcim to create a data driven next level of Cement Manufacturing plant. Through the establishment our team enabling the reduction of manpower cost Improving customer services and aiming to reach minimum manpower to maintain the plant. Lead the design, development, and deployment of ML models to solve complex business problems. Oversee the entire ML lifecycle, from problem definition and data collection to model evaluation and monitoring. Design and implement robust MLOps pipelines for model training, deployment, monitoring, and governance. Select and utilize relevant MLOps tools and frameworks to automate and streamline the ML lifecycle.
Digitalize AI based Predictive Maintenance Solution Projects for the equipments:
Vertical Roller Mill
Ball Mill
Bucket Elevator
High Frequency Analysis
Cement Quality Analysis
ID Fan
Free lime
Image Analytics on Crusher
Cooler
Crusher
Kiln
Roller Press
Projects Undertaken:
Lead end-to-end POT predictive maintenance product development (M Predict) (VRM, Ball Mill, IDSAN, Kill)
Dynamic production report analysis and generation using LLM GenAI
User query chatbot for quick solutions using LLM GenAI
Employee idea bucket selection using LLM GenAI
Pricing and competitive analysis through EPD documents using LLM GenAI L&T Technology services as Senior Data Scientist (Jan 2019 to Jan 2021 ) Over 2 yrs with L&T Technology Services as Senior Data Scientist , Working in multiple segment (Oil and Gas, Petrochemical Industry ,Manufacturing Industry , Utility Industry , Pharma Industry , Health Care Industry etc.) Offering Services: Data Science Product Development - Product based Generic Algorithm / Solution development. Service base Data Science Solution development Analytics solution development on Clients requirement ( In Multiple scenario based on different business problem areas )
Contact Das
Vitha Govind Society, Sector 20, Airoli , Navi Mumbai Contact /
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List of projects working: 1. SABIC Predictive Maintenance on Manufacturing units assets : In Manufacturing industry , operate multiple equipments for large level of production , but due to random failure of equipment , the production have suffer the uncertain losses . In this case, we are considering 19 assets health assessment and raising alarm on before failure. The type of assets are considering for analysis Transformer , HT Panel , Diesel Generator , Chiller , AHU , GA55 Compressor , Condenser Pump , Vector Fan , Cooling Tower Fan , Lobe blower etc. Predictive Maintenance mechanism for assets : Install Edge Gateways through sensors Data Simulation for each asset type Signature Library / Repository Remaining Useful Life ( RUL ) Fault Classification Text Analytics ( NLP ) Acoustic Analysis Thermal Testing Oil testing 2. Halliburton Coring Retrieve Analysis: For Oil industry, in rock side area is bit difficult to observe good coring and bad coring retrieve side for dig out the fine oil. The objective is to compare the good and bad coring files and identify the key parameters that are causing for failure and also identify the root cause analysis for the failure using Deep Learning model RNN ( LSTM ) and Classify the type of fault using Text Analytics ( NLP ) .
3. Product Quality Analysis using Image Processing ( Computer Vision ) :
In Manufacturing industry , common problem is to identify the defective manufacturing product in daily production level , using Deep Learning Image analytics technique ( Computer Vision ImageNet_VGG16 , AlexNet ) to simply identify the defective piece of product on manufacturing unit and classify the product for recovery state and also offering root cause analysis ( RCA ) to identify the cause of error on component level . 4. Honda of America Manufacturing: In every Assembly line car manufacturer organization facing common and repetitive type of production issues /error /problem like certain failure or delay in any assembly line sub parts and due to some specific reason , that issues equally suffer production level and it is also impact on high maintenance cost which is increased day by day .The solution offering fully automated equipments health monitoring system to detect anomalies in any level or sub level of the equipment and also helps to identify the accurate faulty part. Solution also offering Preventive Alarm for status of the equipment health . 5. Cardiac Anomaly Detection Congenital heart disease (CHD) is estimated to affect between 3% to 5% of all new-borns and similar case odd case happened on senior patients. The solution offering using AI/ML - Identify the anomaly behaviour , Root Cause of the anomaly and Prescribe the preventive care .
Contact Das
Vitha Govind Society, Sector 20, Airoli , Navi Mumbai Contact /
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6. Employee Performance Monitoring ( EPM in NLP ) : In every industry follow the employees performance assessment and it is the key factor for growth of the organization , employees data are digitally transformed using Artificial Intelligence and offering absolute performance insight in multiple dimension .Our solution : Employees face recognition to extract historical data using Image Analytics & Computer vision . Previous all the experience data ( Managers feedback , appreciation ,complain , escalation etc. ) updated information and summarize using Text Analysis [NLP ] . Prediction of exit employment ( employees self review , casual leave reason , leave pattern , medical history etc. ) using Deep Learning. Segmentation of employees skill set based on their updated skill improvement plan using Text Analytics ( Classification and Sentiment Analysis) . Others Project : 7. ExxonMobil - Oil & Gas equipments failure's root cause analysis and forecasting for next failure. 7. Keppel Data Centre (KDC) - equipments Compressor failure prediction 8. Hindustan Unilever (HUL) - DRUPS failure's root cause analysis and Calculate RUL (Remaining Useful Life) 9. Vanderlande - equipments health monitoring and compressor failure Prediction 10. P&G Rotary equipments estimated life prediction and Calculate RUL etc.
Rolta BI Bigdata Analytics as Senior Data Scientist ( May 2017 to Jan 2019 ) Over 1.10 years working with Rolta BI Bigdata Analytics as Senior Data Scientist in Multiple domain ( Utility Industry, Oil and Gas, Petrochemical Industry ,Manufacturing Industry , Health Care , Pharma Industry and India Defense Security sector etc.). Offering Services: Data Science Product Development - Product based Generic Algorithm / Solution development. Service base Data Science Solution development POCs development on Clients requirement ( In Multiple scenario based on different business problem areas ) In work profile, main focus is to design finest solution based on client requirements and deliver to the client successfully using Deep Learning ( ANN,CNN,RNN ) & Machine Learning technics like- SVM, Random Forest, KNN, Text Analytics , NLP , Decision Tree, Naïve Bayes, Neural network, Regression Models ,Reliability Models ( Weibull Dist. , Kaplan Meier, Cox Reg etc.) with help of R Studio, SAS, Python, Microsoft Azure and Advance Excel etc. Deep Learning - I have gained expertise in Deep Learning last couple of years and extensively used CNN, RNN (LSTM, GRU) in the domain of Computer Vision (Image and Video Data) and NLP. List of projects working: 1. Data Science Product Development : Develop Data Science product and assemble all the generic algorithm which can utilize for data cleaning, Data Preparation, Exploratory Analysis, Diagnostic Analysis, Predictive and Prescriptive Analysis. This product utilized in any domain for any kind of data and offered ready made finest solution based on requirement ( Like Data Preprocessing , Exploratory Analysis, Diagnostic Analysis, Predictive Model / Forecasting Model , Recommendation model ).
Contact Das
Vitha Govind Society, Sector 20, Airoli , Navi Mumbai Contact /
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2. CAIRN INDIA Heat Exchanger fouling prediction project: In Oil&Gas industry suffer Heat Exchanger fouling problem and due to regular fouling issues, maintenance cost becomes very high. Offering solution is successfully predict fouling prediction with duration of failure and Recommendation model for extend of maintenance cycle.
3. Security Monitoring Analysis using Image Processing ( Computer Vision ) : In every engineering industry have lots of high powered equipments , due to high power consumption of assets , they need a continues monitoring system for security purpose . Using Deep Learning Image analytics technique ( Computer Vision ImageNet_VGG16 , Alex Net ) to identify the near by object of the equipment and raise the alarm for security purpose . In addition , the object and feature classification also offer for reduce the risk purpose . 4. SMART CITY Projects based on Sensor Technology [ IOT ] : Smart City Project for Major Metropolitan / Non Metropolitan City based on Sensor data analysis , Audio analytics, Video analytics and Solution development for Utility Product . List of specific areas working in Smart City : Environment Monitoring ( AQI ) City Security Surveillance Solid Waste Control Management Smart Traffic Management Smart Queue Management Water Management System Smart Parking Management Face Recognition System 5. PETRONAS - MRO Inventory Spare Part Optimization : In Inventory Optimization, sufficient stock level is important for supplying spare part demand. Business challenge is to maintain optimum inventory stock levels by optimizing components ( Min,Max & ROL). Developed efficient AOM (Automated Optimization Models) for nature of demand type like- ABC,VED,FSN,HML etc. 6. Reliance Energy Power Cable fault estimation: In Power & Energy industry most common problem is to detect underground cable fault on Metropolitan City which is responsible for certain electricity off. Our Offering solution for these problem to predict cable fault estimation before 7 days ( Before Trip happening ) with Exact Geographical location wise. 7. Blue-chip companys Stock price forecasting: Huge uncertainty on stock market for return-on-investment purpose. Daily fluctuation effecting Capital Formation of organization. Deep Learning method Offering solution is to forecast opening stock price for next day on every day basis ( Blue Chip Company). Based on this Recommendation/Guidance customer can invest and get better Return On Investment (ROI). 8. RTA Dubai Crime Analysis: Dubai Smart City Project for Preventive analysis purpose, on increasing rate of Crime and preventive alarm for crime analysis. 9. BOREALIS equipments Compressor failure prediction: In Petrochemical industrys Compressor failure is common problem. Predict Compressor failure state with expected duration of failure and root cause analysis for failure.
Contact Das
Vitha Govind Society, Sector 20, Airoli , Navi Mumbai Contact /
Contact m Contact No Contact / Contact
10. Remaining useful Life ( RUL ) of NTPC turbine survival model analysis: In NTPC , multiple turbine equipment are failed randomly and remaining useful life is unknown. Offering Reliability model to predict remaining useful life for turbines and estimate failure probability of equipment based on useful life span. 12. Survival Analysis on Cardiac Patients: Survival Analysis on Cardiac Patient is measure the fraction of subjects living for a certain amount of time after treatment .Offering solution produce a survival graph over time, which shows the estimated percent survival of the subject(s) at each point in time. Bristlecone (Mahindra Group of Company) as Senior Data Scientist ( April 2015 to May 2017) 2.3 years experience into Bristlecone (Mahindra group of company) as Senior Data Scientist responsibilities are to Analytic Consulting to all Mahindra group of companies (Manufacturing ,Retails ,Finance ,Mahindra Holidays ,Utility Product, Mahindra Aerospace ,Logistics ,Tech Mahindra , HealthCare Industry etc.) Based on Industries business problem or challenges , we offered finest solution to resolve the issues and help them to find value addition to business.
Projects & tools : R Studio, Python and SAS Analytics Tool.( Data analysis and statistical model development for purpose of forecasting customer behavior and these model helps to make a better business decisions using R Programming ,Python, SAS VISUAL ANALYTICS 7.1, SAS EG 7.1 ,SAS 9.3 - SAS Base, Microsoft Azure, QlikView 11, Qlik Sense etc . ) Competitive Analysis for Manufacturing Industry using on R Studio ,Python & SAS . This analysis is a critical part of each organization marketing plan. With this evaluation, we establish what makes your product or service unique--and what attributes should play up in order to attract our target market. Risk Analytics Model for Financial Organization using on R Studio ,Python & SAS . Increasing tendency of defaulters in financial organization. Future estimate of defaulter is unknown, so inappropriate provision for defaulters account. Using Analytics technics to estimate number of defaulters, credentials for defaulter, estimate provision for defaulters. Churn Model / Customer Retention Model using on R Studio ,Python & SAS . Decreasing ratio of customer day wise its unpredictable for organization. Churn model offering solution to predict existing customer ratio and predicted probability for churning customer.
Financial Analytics (Cash Transaction Analysis) for finding optimize balance on monthly expenses, monthly income resource balance and forecast future amount of income and expenses using Time series model in R Studio ,Python and SAS 9.3 . Survival Analysis for RUL of Electrical Instrument using R Studio ,Python & SAS ( Kaplan Meier and Cox Regression method ) calculate preventive analysis for under warranty vehicles and identify the potential issues and their underlying causes and developing models for several dimensions in warranty analysis.
Contact Das
Vitha Govind Society, Sector 20, Airoli , Navi Mumbai Contact /
Contact m Contact No Contact / Contact
Warranty Analytics using R Studio ,Python & SAS ( Weibull Distribution method ) calculate parameter estimation and its explore how manufacturers can analyze warranty claims to quickly identify potential issues and their underlying causes and developing predictive models for several incidences regarding warranty analysis. Developed predictive modeling to find out and resolve the incidences issue and do the future prediction regarding warranty claims.
Media & Campaign Analysis for to identify the right media source to promote the product correctly for customer aspect and also identify those media sources are not able to impacting for sales prospect. Optimized advertisement cost helps to develop the production and also forecast the next level production for expected sale. In this analysis using R Programming ,Python & SAS.
Sentiment Analysis using Text Analytics [ NLP ]
Based on social media data ,In this analysis identify the customers emotion ,expression & thoughts about the product. Based on customers behavior / feeling about the product, organization launch the new upgraded product using R Studio ,Python and SAS 9.3

Expectations

Expectations for a Lead Data Science role, here are some key areas to focus on:

Strategic Leadership: Develop and execute a data science strategy aligned with business goals. Inspire and lead the team to innovate and deliver impactful solutions.

Team Development: Foster a culture of continuous learning, mentorship, and collaboration within the data science team. Support career growth and skill development.

Cross-Functional Collaboration: Work closely with other departments (e.g., IT, marketing, product) to identify opportunities for data-driven initiatives and ensure alignment across the organization.

Stakeholder Engagement: Communicate complex data concepts clearly to non-technical stakeholders. Build strong relationships and gain buy-in for data initiatives.

Project Oversight: Oversee data science projects from conception to execution. Ensure projects are delivered on time, within scope, and with measurable results.

Innovation and Best Practices: Stay updated on industry trends and emerging technologies. Implement best practices in data analysis, modeling, and deployment.

Data Governance and Ethics: Promote ethical use of data and ensure compliance with relevant regulations. Advocate for data quality and integrity.

Performance Metrics: Define and track key performance indicators (KPIs) to measure the success of data initiatives and the teams impact on business outcomes.

Resource Management: Manage budgets and resources effectively to optimize team performance and project delivery.

Vision for Future Growth: Identify new opportunities for leveraging data within the organization, exploring new methodologies, and driving the business forward.

Data Science Lead

Data Science Lead

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