About

Martina Valogia is a highly skilled Python Developer with over 7 years of experience in the field. She is currently working for a search analytics based company where she develops code for data analytics with machine learning. Martina has had the opportunity to build AI assistants using RASA for helping customers to troubleshoot issues using chatbots with machine learning policies like Spacy, BERT, nltk, etc. She is a certified RASA developer in chatbot development. In her previous role as a Programmer Analyst at Peri Software Solutions, Martina specialized in Python scripting, Data Science (Numpy, Scipy, Pandas), Django applications development, PERL scripting, Oracle database development (RMAN, Performance tuning, SQL, PL/SQL, running stored procedures and triggers). She has worked with business data sets and predicted the future market forecast using data science packages. Martina has built applications using Django Framework, worked on predicting and building data models using Python modules like Pandas, Numpy, and pandas, and has done pattern matching using regular expressions using Python and Perl. She has created database instances, procedures, functions, and triggers in Oracle, performed backup of data, utilized sqlldr to load data from flat files into schemas, Tkprofiler to load trace files, Import and export utility for transferring data from one schema to another, Oracle Forms and Reports using Apex, and has created records in the database using Perl scripts in the Unix environment. Martina has also worked as a content writer for Augray, a virtual reality firm, to build contents for the TADA personalized chatbot, which is in the initial stages of development. She has been working as a Tariff Data Analyst for nearly 2 years at an International Telecommunication Firm based in the United Kingdom. She has worked on prediction algorithms like SVM and Bayesian curve fitting and implemented them using Python in her previous projects. Martina's current role as a Python Developer involves creating Python-based applications using Elasticsearch APIs and Python modules, building web applications in Python using frameworks like Fast API to serve ML models, working with SB platform for deployment, configuration, development, tuning, and support, creating virtual AI assistants using RASA framework for customer support, extracting data logs from Elastic search, cleansing, visualizing, and building models using search data, building a variety of NLP products with language models and machine learning, and building text generators, title generation models, keyword generation models, Recommendation models, Entity extraction models, Acronym Extraction models,