

Experienced business intelligence, data science and analytics professional with a proven track record of transforming data into actionable insights. Proficient in programming, web development, and database applications, I excel in leveraging innovative solutions to drive success. Passionate about collaboration and dedicated to empowering individuals and organizations to maximize the value of their data.
Data Analytics Tools: Python, Tibco Spotfire, Power BI, Tableau, Domo, Excel, SQL, DAX, Apache Hive, Hue, SSIS
Python: TensorFlow, Pandas, NumPy, Keras, PyTorch, Selenium, NLTK, Scikit-learn NetworkX, Seaborn, Matplotlib, BeautifulSoup, PySpark
CRM/ERP: Salesforce, MicroStrategy, Google Analytics, Five9, NetSuite, Zendesk, Power Automate, Zapier
Issue Tracking/Task Management/Version Control: Git, Jira, Trello, ClickUp
IBM: Data Science Professional Certificate
Simplilearn’s Machine Learning Certification
Spotfire - The Complete TIBCO Spotfire Course
Analyzing and Visualizing Data with Power BI
. Pull and join data from various sources, architect and implement ETL, and data movement solutions using Domo Data Warehouse
• Create and maintain data visualizations that engage multiple business units on key metrics and performance measures that are built in Power BI and Tibco Spotfire
• Advise executive leadership team with insights, analytics, reports, KPIs, and recommendations enabling effective strategic planning across all business units, distribution channels, and product lines and identify opportunities by conducting exploratory data analysis and statistical analysis to provide strategies
• Follow Scrum with biweekly sprints and kept track of projects at hand by creating documentation for task management
• Cleaned and prepared data to apply analytical and statistical methods for identifying out of pattern activities Used Pandas in Jupyter Notebook and various queries on Hive data warehouse to proactively prevent fraudulent activity by building rules and scanners, written in automated Python scripts
• Created models using several machine learning algorithms such as XGBoost, linear regression, and computer vision to predict and catch fraudulent orders
• Provided data insights to the management using Tableau to mitigate fraud risk on the purchase of mobile products
• Engaged with the team members, operations and other cross functional business partners to provide insights into current fraud controls, potential gaps in the processes
• Advised startup scrum teams from different backgrounds, while spending most of the time on the company called Insolar in order to find the lowest prices in the market using artificial neural networks in TensorFlow Collected data from various field sites using BeautifulSoup library, used Pandas library for analysis, NetworkX and Matplotlib libraries for visualization in Jupyter Notebook
• Developed processes and tools to monitor the model performance and data accuracy in R
• Assessed the effectiveness, quality and accuracy of new data sources and data gathering techniques, by using machine learning and statistical modeling
• Developed kernel modules, embedded systems, and libraries for high-level languages
• Worked on the modules for APIs of different environments that are efficient, reliable, easy to maintain and test applications
• Developed algorithms to optimize performance of computer hardware systems in enterprise environment