Sejal Pachpor

Scripting Languages and Data Visualization • Developed intricate SQL queries to extract multi-year datasets of NYC data, allowing for a descriptive analysis of data trends over time • Applied exploratory data analysis (EDA) using Python and its libraries, to preprocess, clean, and prepare large-scale NYC datasets • Utilized Tableau to craft insightful data visualization and interactive dashboards, simplifying complex data into easily user-friendly formats Machine Learning Model Development and Cloud Data Infrastructure • Developed SQl code on Google Cloud Platform to retrieve stored data for enhancing efficiency and data processing capabilities • Designed, trained, and optimized deep neural network models for image recognition on the dataset on GCP, achieving an exceptional 99.99% accuracy rate, while implementing cross-validation, hyperparameter tuning, and continuous monitoring for peak performance • Collaborated closely with the data science team to deploy ML models into production providing actionable insights for decision-makers

Data Infrastructure and Data Integrity • Deployed SQL queries to extract data from seven Qualcomm-affiliated software’s via Rest APIs and loaded data into MS Excel for analysis • Developed a comprehensive JSON dictionary and naming convention to standardize diverse data sets, enhancing data accuracy, mitigating errors, and establishing a critical reference point for robust data integrity and harmonious data integration across all software sources • Implemented an efficient ticketing system that improved communication by 70%, reduced errors, and enhanced efficiency, leading to streamlined operations, significant time savings, and reduced error checking needs with designated team members overseeing detection Data Science and Predictive Modeling: • Developed a predictive error detection model through statistical analysis and modeling techniques in python to identify and rectify errors • Accomplished a 97% reduction in errors, resulting in concurrent boost in software performance, all achieved without manual intervention Data Visualization, Reporting and Business Impact • Effectively conveyed project progress through Power BI visualizations which made technical information accessible to all stakeholders • Enhanced clarity, improved communication, and fostered collaboration among team members positively influenced business meetings

Market Research and Data Analysis: • Utilized extensive experience to lead cross-functional programs emphasizing big data driven market research and data analysis conducting comprehensive studies with a specific focus on products such as Homeopath Firefly, Homeopath Neo Metal, and Homeopath Eco Tek • Applied advanced SQL querying techniques to extract valuable insights, allowing for a deep dive into sales data by geospatial analysis Pricing Strategy Optimization: • Tracked metrics like sales, margins, value perceptions and competitor pricing to continually refine pricing approaches to optimize revenues • Utilized geospatial data and key performance metrics for Adobe Analytics to differentiate pricing strategies by region, maintaining prices in high-revenue areas while adjusting them in lower-performing regions, which increased overall revenue by 15% and profitability by 13% Data Pipeline Optimization: • Applied advanced feature engineering techniques including data transformation to enhance data accuracy and integrity within the dataset • Programmed statistical models and efficient data pipelines to enhance product demand forecasting, achieving a 15% accuracy boost • Enhanced sales and performance analysis by identifying high-performing regions and implementing code reducing analysis time by 97% Data Visualization and Communication: • Produced Tableau reports and infographics to provide essential business insights that facilitate informed, data-guided decision-making • Conveyed market research insight to the management and optimized advertising placement in higher sales region, resulting increased ROI