Poli Ghosh
Dallas, TX, USA 214-***-**** **********@*****.*** linkedin.com/in/polighosh/
PROFESSIONAL SUMMARY
Dynamic Business Data Analyst with expertise in data analysis, process improvement, and project management. Skilled in translating complex requirements into actionable plans. CERTIFICATIONS AND TECHNICAL SKILLS
Programming Languages: Python (matplotlib, numpy, pandas, seaborn, scikit-learn), R, SAS, C, C++, JAVA Databases & Big Data Frameworks: Microsoft SQL Server, Snowflake, Oracle, PostgreSQL, Hadoop, Hive, Spark Visualization Tools: Tableau, Power BI, Looker, Advanced Excel, Sigma Computing Certifications & Training: Google Data Analytics, Alteryx Foundation, Tableau Essential, Time Series Analysis and Forecasting using Python, AWS Certified Solutions Architect (Associate) Technical Skills: A/B Testing, ETL, AWS, Azure, Data Mining, Statistical Modeling, Predictive Analytics, Prescriptive Analytics, Machine Learning, Advanced Statistics, Git Project Management software: Azure DevOps, Trello, JIRA, Agile (Scrum/Kanban) PROFESSIONAL EXPERIENCE
Love’s Travel Stops - Associate Data Analyst July 2023 – Present
• Extracted and processed over 1.2 million rows of data from Snowflake using advanced query techniques, resulting in a 30% improvement in data retrieval efficiency.
• Developed predictive models using Python and SQL to align fair value charts, achieving an 18% increase in forecast accuracy. The business objective was to provide actionable insights, where forecasts above the established benchmark indicated bearish market sentiment.
• Analyzed an extensive dataset comprising daily refinery outage information using Python and R, visualizing error values with Plotly, and realized a significant 25% reduction in downtime. Deloitte – Consultant (Risk and Financial Advisory) June 2018 – Dec 2021
• Obtained data from client system and analyzed to identify potential risks for the Fortune 500 companies which increased the revenue generation by $120k in financial year 2018 - 2021.
• Executed tests and documented diverse General IT Controls (GITCs) pertaining to processes like Access Security, Change Management, and IT Operations across various IT infrastructures, including Operating Systems (Windows, Linux), and Databases (HANA, Oracle, SQL) for multiple Sarbanes-Oxley (SOX 404) audit clients.
• Utilized Azure DevOps to streamline and automate the end-to-end software development lifecycle, including version control, continuous integration, and deployment processes, resulting in a 20% reduction in release cycle time and improved collaboration among cross-functional teams.
• Awarded the Spot Award (April 2021) from Deloitte US Leadership for outstanding achievement. EDUCATION
Master of Science (Business Analytics), The University of Texas at Dallas, USA (3.7/4.0 GPA) May 2023 Master of Computer Applications, Gandhi Institute of Technology and Management, India (3.8/4.0 GPA) Sept 2018 Bachelor of Science - Mathematics, Statistics & Physics, University of Calcutta, India Aug 2015 PROJECTS
Risk Score Modeling for Loan Approval EDA, Python, SQL, Modelling August 2023
• Developed a risk score model to assess creditworthiness and optimize loan approval processes. Analyzed historical loan data, including credit scores, income levels, and repayment history. Built a machine learning model using logistic regression to predict the likelihood of default reducing default rates by 20% while maintaining profitability. Machine Learning for FinOps: Credit Card Fraud Detection: Machine Learning, R, SQL, Python January 2024
• Developed Machine Learning Models – Decision Tree, Random Forest, KNN, Naïve Bayes together with Logistic Regression to better detect credit card fraud. Optimized the model to reach F1 score of 0.91. Achieved the goal of reducing fraudulent transactions by 20%.