Developed and maintained data pipelines, utilizing Dataikus visual programming interface and PySpark, resulting in a 20% improvement in data processing time. • Collaborated with team members on code review and version control using Git and Bitbucket, resolving 50% of errors and improving existing code in Pyspark. • Implemented updates for omnichannel with minimal disruption to ongoing operations, resulting in a 10% increase in customer satisfaction. • Conducted exploratory data analysis (EDA) on over 200 GB of data, identifying patterns and trends to guide the direction of analysis and improve decision-making. Prepared reports and presentations, effectively communicating findings to stakeholders. • Built a color classification system with 90% accuracy, improving customer experience and streamlining product classification by 20%. • Applied NLP techniques to improve search engine rankings by 15%. Utilized NLP tools, trained ML models for keyword prediction, and integrated into company’s SEO strategy. Continuously optimized performance through analysis.
Provided data science solutions to over 20 international clients through LinkedIn and Fiverr. • Delivered over 20 projects that required data scraping, pre-processing, analysis, visualization, dashboard building, machine learning, model evaluation, monitoring, model deployment, driving insights, and generating BI report. • Applied pandas and NumPy to efficiently pre-process data and Implemented machine learning models using scikit-learn, Keras, and TensorFlow. • Maintained an average rating of 4.9 out of 5 from clients.
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