● Employed at a company that is committed to revolutionizing the market through IntelligentAutomation, fostering strong partnerships while upholding corporate responsibility● Integrated client’s legacy systems with a new process management and workflow automationsystem● Automated the acquisition and processing of buying receipts for multiple stores within a dealershipnetwork● Implemented multiple bots to access manufacturers' web systems, download receipts for thedealerships, and upload them to the dealer’s finance software● Used Python, Django, OLS, SQLServer, and JavaScript in two projects that involved buildingapplications to assist clients with stock control, production, and shipping● Leveraged Pandas to manage tabular data within Python consistently● Employed AutoIt and Selenium for automation tasks, depending on whether dealing with web ordesktop applications and any limitations imposed by clients● Implemented REST, SOAP, GraphQL, XML, and JSON for inter-application communication, anddeveloped scripts for seamless data exchange and process automation● Developed several API endpoints using Flask to integrate internal systems, and utilized Scrapy forscraping Twitter data for demonstrations● Employed SQLServer extensively, because it was the database widely preferred by clients

● Worked at a company that specializes in developing and implementing cutting-edge businessintelligence solutions using state-of-the-art software platforms for data analysis● Developed scrapers to research products and parts on marketplace platforms, obtaining valuabledata insights● Used Tableau and Power BI as primary data visualization tools, and later began incorporatingJupyter Notebooks for visualization tasks● Utilized Scrapy for scraping Twitter data for demonstrations.● Utilized Selenium for scraping for part and product prices.● Utilized Python, Pandas, IBM Watson, Tableau, MySQL, Selenium, Scrapy, and PowerBI

● Spearheaded the development of a BI Platform, initially taking responsibility for creating the mainengine to source and process data. This engine consisted of a scraper and an analyzer● Integrated IBM Watson into the first version of the platform for sentiment analysis of text,collaborated with a team to migrate to an in-house solution for subsequent versions● Integrated IBM Watson also with scrapers, and the resulting data was stored in a database● Developed scrapers using Beautiful Soup to acquire internet pages for analysis, these scrapersparsed the acquired pages to extract text used for various analyses, such as sentiment analysis andidentifying associated words● Conducted initial data testing with visualizations on Tableau before progressing to building afront-end● Implemented REST, SOAP, and Selenium to acquire necessary data for projects when notprovided beforehand● Used MySQL extensively as the primary database for the platform and PostgreSQL wasfrequently used in other projects● Managed multiple projects focused on extracting and sourcing data for key consulting services● Leveraged Python to extract data from various service APIs or by scraping; then organized,cleaned, and stored data for further analysis● Employed EC2 and S3 for hosting and processing data, as well as for the first demo version of aproduct developed with a client● Utilized IBM Watson, Power BI, Beautiful Soup, Tableau, REST, SOAP, Selenium, MySQL,PostgreSQL, Python, Pandas, AWS (EC2 and S3)

Summer placement, part of the science without boarders scholarship program.Help in experiments and experiment result analysis.Ultrasound and microparticles.

Apprentice researcher, part of the "New Science Talent" scholarship program.Help in developing experimentes and test them.Wireless Sensor Networks.Utilizing C.