Volvo Group

★ Enterprise AI Strategy Lead | Redefining AI Goals at Volvo

Senior Machine Learning Architect 

★ Designed and implemented an Enterprise MLOps framework that streamlined data science projects involving predictive analytics, NLP, and computer vision at scale, resulting in improved efficiency and faster time-to-market for models

★ Implemented an enterprise-scale MLOps central monitoring dashboard to track both Model and Data drift using statistical techniques

★ Led the development of data and model governance framework incorporating automated data lineage tracking, data quality checks, and model performance monitoring. Achieved a 35% increase in data accuracy and a 25% reduction in model downtime

Senior Machine Learning Engineer

Merck Group

★	Streamlined implementation process and reduced average waiting time on product status inquiry from 2 days to 60 minutes by implementing custom NER model (RoBERTa large); Increased Customer Satisfaction Score (CSAT) from 46 to 72 on consecutive consolidated quarters

★	Developed model for Invoice document processing by using OCR (CRAFT + Attention OCR ) and NER (XLM-RoBERTa) model yielding a reduction of 15 % operation time via process automation; Sales lift increase by 2.5% and Expand service to top-5 high net sales countries

★	Implemented 4 different Recommendation systems for the scientific community research portal by amalgamating scientists and experts into a single platform; Stimulated an additional 30% lead generation and increased click-through rate by 18%

★	Designed sequence prediction model for chemical mixture separation using CNN BiLSTM model architecture; Resulted in $850k savings including annual licensing cost by developing the in-house product; Improved performance by 15% compared to the existing product (Empower Software)

★	Created a web scraping program in Python to support downloading public data, included >10,000 scientific abstracts and chemical products combined enriching internal data and increasing research efficiency by >50%

★	Research and Interpret to prototype to identify key influencers (HCP) on sales data using clustering techniques over 100,000 data points in Python

Senior Data Scientist

Miracle Software Systems, Inc

★	Achieved 82% accuracy by predicting Car Exterior Damage with trained on 1000 annotated images using Mask R-CNN architecture to speed up insurance claims; Reduced claim processing time by 40% and claim costs up to 25%

★	Conceptualized the real-time shopper footfall in retail stores by analyzing demand and visitors sentiment patterns using Faster R-CNN model architecture; Improved net promoter score by 30 points in pilot teams over 6 months; Understood customer sentiment and demographics by 25% than previous 12%

★	Customized Brand logo detection in commercial ads video using YOLOv3; Reduced time consumption by 70% time spent by the team

Data Scientist

High energy professional specialised in Machine Learning, NLP, CV and MLOps, with a proven track record of executing successful strategies. With exceptional analytical skills and strong business acumen, I have consistently delivered results that exceed expectations. 

Let's connect on LinkedIn to explore how I can bring my expertise to help drive your business forward.

My technical skills set include:
•	Domain: MLOPS, NLP, Computer Vision (CV), Machine Learning (ML), Deep Learning (DL), Artificial Intelligence (AI), Data Science
•	Architecture/Algorithms: Transformers, BERT, RoBERTa, CNN, RNN, LSTM, ULMFiT, Transfer learning
•	Library/Framework: PyTorch, TensorFlow, Keras, FAISS, Spark NLP, flair, Scikit-Learn, selenium, Tesseract, Flask, Neo4j
•	Web/Deployment: MLOps, Docker, Flask, Streamlit, RESTful API, Git, CI/CD
•	Cloud: Hugging Face, Amazon Web Services(AWS), Microsoft Azure

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