Mounica Subramani
Data Scientist @Great American Insurance Group
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WORK HISTORY
Data Scientist @Great American Insurance Group
Cincinnati, OH, US
EDUCATION
R M K College of Engineering and Technology
BTech - Bachelor of Technology, Information Technology
Northeastern University College of Computer and Information Science
Master's degree, Data Science
ABOUT MOUNICA SUBRAMANI
Data Scientist with 7+ years of experience in machine learning, statistics, NLP, and AI/LLM solutions solving high‑impact business problems. Skilled in experimentation, metric designing, and building production-ready models while uncovering insights through data exploration. A strong communicator known for working across product, engineering, and business teams to drive data-informed decisions.Following is an overview of my technical skills-Languages/ Database : Java, R, Python, C++, MySQL, Libraries : Scikit-learn, NumPy, Pandas, Matplotlib, Keras, TensorFlow, SciPy, PyTorch, Plotly, NLTK, Hugging Face Transformers, LangChain, OpenAIFrameworks : GitHub, Jupyter, PyCharm, VS Code, Snowflake, Databricks, Azure AI/ML Studio, AI Foundry, Tableau, R Studio, Eclipse, Grafana, GCP, AWSConcepts : Machine Learning, Deep Learning, Natural Language Processing, Statistical Modeling, Time Series Forecasting, Computer Vision, LLM Fine-tuning, Prompt Engineering, MLOps, Vector Search, Agentic AI, Image Detection & Segmentation, Agile Methodology, Dashboarding & Visualization, Linear Algebra, Statistics, AlgorithmProficient in Python and R. I\'m still enthusiastically grabbing onto any other programming languages, frameworks, or principles I can integrate into the coding web in my head. A little bit about me outside the technical jargon - my professors, colleagues, mentors and managers describe me as a smart, responsible team player, extremely professional, a self-starter who sees every task right through the end. I always come across as someone who asks the right questions at the right time to define and understand the scope / nature of the work better. Lot more people focused. Happy to teach what I know. Equally happy in connecting with people. Can adapt to changes. Innovate and keep the energy moving as much as I can. A quick learner. Love taking up risks. Apart from being passionate about Data science, I enjoy reading novels, playing PS to keep the kid in me alive, contemporary dancing, solving Sudoku puzzles, crosswords, writing poems to reflect on my thoughts, and practicing Yoga / Pilates. P.S: My resume and cover letter are hand typed and I did not use any AI tool - It\'s part of my job to learn, assess these tools and be up to date with the tech but I also enjoy doing certain things in an old way to keep it more real and authentic.You can reach out to me at s••••••••@husky.neu.edu /+16•••••••22
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