Priyanka Panhalkar

About Priyanka Panhalkar

I am a Data Analyst by choice. For me having passion for data often means you\'re not just interested in numbers, but in the stories they tell, the decisions they shape, and the impact they create. Whether it’s building models, uncovering trends, or empowering teams with insights, a data-driven mindset is a major asset in today’s world. With over 9 years of cross-industry experience spanning biotech, tech and enterprise consulting, including roles at. Specializing in machine learning, deep learning, and generative AI with hands-on expertise in predictive analytics, multimodal learning, and structured/unstructured data modeling. Expertise in regression modeling for trend analysis and time series forecasting for demand prediction, financial modeling, and operational efficiency optimization. Passionate about ethical AI and responsible model governance, leveraging synthetic data generation, reinforcement learning, and multimodal representation to optimize performance while ensuring data security and compliance. Exploring advancements in Agentic AI, developing autonomous AI systems that dynamically adapt to evolving real-world environments. A collaborative problem-solver, combining statistical modeling, data storytelling, and scalable ML solutions to drive innovation and cross-functional impact: Python (NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch, Statsmodel) SQL, HTML :Descriptive & Inferential Statistics Clustering (K-Means), Dimensionality Reduction (PCA), A/B Testing & : Data Cleaning / Data Wrangling, Feature Engineering, Regression / Classification / Clustering,Time Series Analysis,Natural Language Processing (NLP),Recommendation Systems, Model Deployment / MLOps, Experiment Design : Big Data, Spark, Hadoop, ETL (Extract, Transform, Load), Data Warehousing, Apache Airflow, AWS / GCP / Azure, Snowflake / Redshift / BigQuery, NoSQL (e.g, MongoDB), Data Visualization (e.g, Tableau, Power BI, Matplotlib, Seaborn)/: Regression & Classification, Decision Trees, Ensemble Methods, Cosine Similarity, Recommendation Systems, Predictive Analytics, Big Data Technologies (e.g. Spark, Hadoop)Certified Scrum Master (CSM)Google Data AnalyticsSpringboard Data Science

Experience

1. Data Scientist

   Meta

   Oct 2025 — Present · Menlo Park, CA, US

Education

• Springboard

  Data Science, Machine Learning

• Mississippi State University

  Master's degree

  2011 — 2013

• Savitribai Phule Pune University

  Bachelor's degree, Bachelor of Technology

  2006 — 2010