Harshil Saini

Experience

• 

  ID.me

  Dec 2020 - Dec 2022

  Data Analyst

  • Conducted extensive data analyses using Python (Pandas, NumPy) and SQL to monitor and track member behavior for over 100 million users, contributing to a 10% increase in customer retention rates through targeted insights. • Automated complex ETL workflows leveraging Python (PySpark) and SQL, resulting in a 40% reduction in manual reporting efforts and significantly increasing data accessibility for various teams. • Assisted in the development of predictive models using Scikit-learn to refine customer segmentation strategies, which improved marketing conversion rates by 12%. • Built real-time dashboards in Tableau and Looker to provide leadership with the tools to monitor essential business metrics and accelerate strategic decision-making processes. • Collaborated cross-functionally to define and establish key performance indicators (KPIs) for service efficiency, ensuring alignment of data-driven strategies with overall business objectives. • Delivered ad hoc data analysis and forecasting using Python and SQL, identifying strategic opportunities for revenue growth and operational enhancements. Show less

• 

  Incedo Inc.

  May 2023 - now

  • Engineered ETL pipelines using Python (PySpark) and SQL to process and analyze large-scale customer datasets, improving data efficiency and accessibility by 25%.• Developed and implemented K-Means clustering models to enhance customer segmentation strategies, leading to a 20% increase in targeted marketing engagement.• Designed and executed K-Nearest Neighbors (KNN) models to deliver personalized marketing recommendations in real time, resulting in a 15% increase in customer response rates.• Authored technical documentation and led training sessions to enhance team capabilities in advanced analytics techniques, fostering a culture of continuous learning. Show less • Built fraud detection models leveraging Python (Pandas) and Neo4j to analyze transaction patterns, identify suspicious activities, and detect anomalous network connections. These efforts led to a significant reduction in fraudulent transactions and enhanced security measures.• Implemented Neo4j graph analytics to uncover fraudulent behavior patterns within transaction networks, improving fraud prevention efficiency and enabling proactive security monitoring.• Created and maintained interactive dashboards in Tableau, integrating key customer behavior trends to reduce marketing decision turnaround time by 30% and facilitate data-driven strategies.• Collaborated with cross-functional teams, including marketing, finance, and security, to leverage data-driven insights for optimizing customer outreach and strengthening fraud detection measures. Show less

  • Data Scientist

    Dec 2024 - now

  • Associate Data Scientist

    May 2023 - Nov 2024