Data Analysis Visualization

SEJAL SADASHIV PACHPOR

469-***-**** **************@*****.*** LinkedIn Github

SUMMARY

Accomplished analyst leveraging statistical modeling, visualization techniques, and analytical skills to extract powerful insights from complex data sets and communicate key findings to inform data-driven decision making. EDUCATION

The University of Texas at Dallas, Texas Master of Science (MS) in Business Analytics 2021 – 2023 The University of Mumbai, India Bachelor of Engineering (BE) 2017 - 2021 PROFESSIONAL EXPERIENCE

Senior Client Success Analyst, Kasasa, Austin, USA April 2024 – Present Financial Analysis and Strategic Planning.

• Utilized forecasting techniques to predict future trends and outcomes, providing valuable insights for strategic decision-making with 99.98% accuracy and using SQL, Excel, and Python.

• Implemented bottoms-up projection revenue method to analyze and forecast revenue at a granular level, enhancing accuracy.

• Conducted analysis to segment data and identify patterns, enabling targeted marketing strategies and personalized client approaches. Process Improvement and Operations Management

• Developed and implemented standards for incorporating best practices in forecasting, revenue projection, and data analysis techniques.

• Spearheaded initiatives to automated internal processes, incorporating Non-Qual, POS, Account Analysis and Bucket analysis into operational workflows for improved efficiency using Python. Data Visualization and Business Impact

• Utilized Power BI in conjunction with AWS to streamline the data visualization process, enabling seamless integration of diverse data sources and enhancing efficiency in report generation.

• Created compelling presentations for client feedback sessions, showcasing the analysis and insights derived from the data analysis process

• Developed visually engaging dashboards and reports using Power BI, incorporating advanced visualization techniques to highlight key insights and trends for client sectors.

Data Scientist Intern, Quantiphi, Boston, USA Oct 2022 – Feb 2023 Scripting Languages and Data Visualization

• Conducted comprehensive data analysis on multi-year datasets of NYC data by developing intricate SQL queries for extraction, performing exploratory data analysis (EDA) in Python to preprocess and clean the data, and utilizing Tableau to create interactive dashboards for simplified visualization of complex data trends.

Machine Learning Model Development and Cloud Data Infrastructure

• Utilized SQL code on Google Cloud Platform to retrieve stored data, designed, trained, and optimized deep neural network models for image recognition achieving a 99.99% accuracy rate, and collaborated with the data science team to deploy Machine Learning models into production, providing actionable insights.

Interim IT Engineering Intern, Qualcomm, San Diego, USA May 2022 – Aug 2022 Data Infrastructure and Data Integrity

• Utilized SQL queries to extract data from seven Qualcomm-affiliated software's via Rest APIs and standardized diverse datasets using a comprehensive JSON dictionary, enhancing data accuracy and integrity. Additionally, implemented an efficient ticketing system resulting in improved communication by 70%, reduced errors, and streamlined operations. 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. Data Analyst, Mind Technologies, Mumbai, India Jun 2019 – May 2021 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. 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 Power BI 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. TECHNICAL SKILLS

Programming Languages: Python, R, SAS, SQL, C++, C, Java Framework and Libraries: Scikit-Learn, Pandas, NumPy, Matplotlib, Tabulate, Json, Requests, Geotext, Re, Seaborn Data Analytics Languages: Python, Base SAS, R, Tableau, Power BI, Alteryx, Microsoft Excel, SAP HANA, ERP, SAP ECC Design and Stimulation Software: SAS Studio, Microsoft, Visual Studio, Tableau, Google Analytics, Adobe Analytics, Agile, JIRA, Google Collab

Contact this candidate