Suhas Pawar

About Suhas Pawar

I\'m a Lead Data Scientist at Biogen Inc. with more than 9 years of IT experience. I specialize in executing data-driven solutions to enhance organizational efficiency and profitability. Passionate about leveraging machine learning, deep learning, GenAI and data analytics for meaningful insights and solving complex business problems. Currently, leading a team of 4 data scientists in an agile development environment.My expertise includes developing prediction systems, clustering tools, working on supervised and unsupervised problems and Gen AI App development using Python, Pyspark, SQL, statistics, ML, and the Azure cloud platform.My tech stack comprises of Machine Learning | Python | SQL | NLP | Deep Learning | R | Pyspark | PyTorch | Keras | Pandas, Scikit-Learn, NumPy, SciPy, NLTK, TensorFlow, re, BeautifulSoup, Gensim, Spacy, Flask, pandas-profiling, Matplotlib, Seaborn, Statsmodels | Azure Data Factory | Azure Data Lake | Predictive Analytics | Data Analytics | Tableau, Plotly | Git, Jira | Statistical modelling | Time series analysis | Anomaly detection | Microsoft Azure | Agile/Scrum | Selenium | Statistics - hypothesis testing, estimations | Gen AI | Langchain | Agentic AI | Open AI GPT | Llama | Hugging Face Transformers | LoRA | RAG | Bloom | Gemini | Mistral | Pinecone | Weaviate | FAISS | Promptify | OpenAI Playground | PromptChainer | Azure OpenAI Service | Docker | Kubernetes | Posit | Azure Kubernetes Service | Azure Container Registry | Azure AI searchI\'ve worked across various industries, collaborating with European and US-based, companies in high-scaling environments. I excel in building and debugging reliable, high-availability, secure, and performant distributed services and applications. A quick learner who loves taking on new challenges.Additionally, I\'ve mentored 100+ students in data science with different edTech organizations.

Experience

1. Lead Data Scientist

   Biogen

   Jan 2024 — Present

   Managing end-to-end AI project delivery — from stakeholder requirement gathering and JIRA-based planning to backlog refinement and application development till deployment.Delivered full-cycle AI applications using Streamlit for interactive, user-friendly delivery across teams.Spearheaded Generative AI initiatives, including large-scale document review systems using GPT, RAG architecture, and LangChain, significantly reducing legal document review turnaround times.Designed and deployed LLM-powered legal compliance tools, reducing manual review time from 1 hour to under 30 seconds through advanced NLP techniques.Automated complex document comparison workflows, cutting SOP review efforts from 60 hours per person to 10 minutes using AI-driven bots.Created standardized compliance playbooks for contracts and agreements, improving accuracy, traceability, and operational efficiency across review cycles.

Education

• Bharti Vidyapeeth's K.B.P.V & Jr.college, Pune

  H.S.C. - Maharashtra State Board, Science

  2011 — 2012

• Texas McCombs School of Business

  Post Graduation, Data Science and Business Analytics

• Vishwakarma Institute of Information Technology

  Bachelor of Engineering (B.E.), Electronics and telecommunications

  2012 — 2016