• Programmed, built and deployed a product from scratch by developing multiple APIs using Python Flask for tracking supply, equipment and product inventory quantities for helping clients in keeping track of products and made available mutliple solutions for tackling problems. • Create automated solutions using SQL and/or Python to bolster the sales reporting capabilities and databases.• Used Pandas, Numpy, Scipy, Matplotlab, Seaborn and other libraries for data analysis and modification. • Build data pipelines to prepare aggregated results for dashboards using SQL, Python Flask and AWS. • Implemented scalable and efficient modeling algorithms and modeling pipelines for large-scale data in production systems.• Built predictive, analytic and step-wise regression machine learning models based on feed forward networks, CNN, RNN and back-propagation techniques.• Applied data analyst knowledge and filtering skills to resolve indecipherable or garbled data, to extract data from relational and non-relational databases, integrate data seamlessly and perform data cleaning and data transformation, and helped in identification and resolution of performance bottlenecks in supply chain management. • Collaborated with product management and engineering teams to develop new products and features.• Used Agile Development methodologies to accomplish weekly and monthly goals.

• As part of the core technical team, worked on data extraction and visualization for identifying current trends by extracting data from different sources like NYTimesAPI, TwitterAPI, CommonCrawler, etc. using Python and R languages.• Worked as an ETL engineer by cleaning and transforming the extracted data & concurrently running MapReduce jobs on EC2 and EMR instances on AWS.• Visualized the data using Tableau for identifying the relevant trends and improving intelligent resources to facilitate consistent data visualization.• Applied statistical and algebraic techniques to interpret key points from gathered data and coordinated statistical data analysis, design, and information flow.• Recommended and implemented data standardization to ensure data integrity and worked on integrating data from different data sources.• Streamlined processes to minimize day-to-day downtime and increase overall productivity.

• Created REST and POST APIs for providing interchangeability between computer systems for allowing the requesting systems to access and manipulate textual representations of Web resources.• Updated programs as per user needs and developed codes that were in accordance to specifications.• Controlled adaptability of all APIs and integration.• Tested programs and databases and identified and ameliorated system critical issues.• Modified existing databases to meet unique needs and goals determined during initial evaluation and planning process.