Puja K.
Senior Data Scientist
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Puja K. is an accomplished Data Analyst/Business Analyst with over seven years of experience in transforming complex datasets into actionable insights, primarily within the finance, banking, cybersecurity, ad-tech, and network analytics sectors. Proficient in SQL, Python, and Power BI, she excels in building dashboards, analyzing trends, and supporting data-driven decision-making. At Hughes Network System, she enhanced network prediction models and refactored feature pipelines to improve processing efficiency. While serving Eitacies Inc, she visualized cybersecurity data and improved foundational ML models to enhance cyber threat protection. Her tenure at Talentica Software was marked by collaborating with cross-functional teams to derive actionable data insights and streamline data processing tasks to feed machine learning models efficiently. Puja's academic credentials include a Master's degree in Data Science from the University at Buffalo, reinforcing her technical prowess and strategic insight in data analytics.
Experience
Data Scientist
Hughes Network System · 2025 — PresentAnalyzed network trends and anomalies to generate insights for predictive modeling and enhance RAG/GenAI accuracy in automated root cause identification. Developed and validated predictive models using exploratory data analysis (EDA) on large datasets. Refactored a feature engineering pipeline to PySpark to enable efficient processing of millions of data records. Built automated monitoring tools with MLflow and Evidently to track model performance and detect data drift. Collaborated with cross-functional stakeholders to gather requirements and present analytical findings.Senior Data Analyst
Eitacies Inc · 2024 — 2025Applied Data Visualization techniques to aggregate and visualize cybersecurity data using Excel and Power BI with DAX from sources such as network logs and threat intelligence feeds. Improved foundational ML models by leveraging domain-specific data to enhance cyber threat protection. Constructed a scalable data pipeline with Python and Apache Spark for data ingestion and transformation. Developed interactive dashboards to display real-time security metrics, aiding the sister team in implementing new rules for threat patterns. Operated in an Agile environment, translating business needs into actionable solutions and managing weekly sprints.Senior Data Analyst
Talentica Software · 2021 — 2023Collaborated with engineers, product managers, and data scientists to ascertain data requirements across various projects and effectively communicated key data insights. Employed statistical methods and data analysis tools such as Excel, SQL, and Tableau to explore datasets and extract meaningful trends. Developed visual representations to simplify complex data for stakeholders, facilitating prompt data-driven decisions. Designed an ETL pipeline with PySpark to improve data flow efficiency to ML models, resulting in reduced processing time.Data Analyst
Talentica Software · 2017 — 2021Created data processing pipelines for diverse datasets, including historical, real-time, and traffic patterns using Apache Kafka, Apache Spark, and Python. Conducted analysis on historical ad inventory data to uncover predictive insights for forecasting models. Worked with data scientists to refine real-time ad inventory forecasting, improving accuracy through effective preprocessing and data insights. Developed dynamic dashboards with Excel, Power BI, and VBA to visualize inventory levels and key performance indicators.Data Analyst
NINELEAPS Technology · 2016 — 2017Analyzed student borrowing and credit behavior using SQL, Power BI, Tableau, Python, and visualization libraries to derive actionable insights. Built segmentation and risk models using statistical methods and Random Forest to predict default risk and personalize credit strategies, optimizing SQL query runtime.
Skills & Expertise
Education
- Master of ScienceUniversity at Buffalo (SUNY Buffalo) · 2023 — 2024
- Bachelor of TechnologyVisvesvaraya National Institute of Technology (VNIT) · 2012 — 2016