- Working as Software Engineers, Designing and Implementing APIs using dataiku plateform, - Designing Azure DB SQL and postgres SQL tables- Scraping data from Excels using python's Openpyxl - Perform ETL on different data sources transforming to support multiple businesses

As a Software Engineer Working on Data Engineering on ETL workflows with Rest APIs.➢ Developed and maintained high-performance Python applications using Django and Flask frameworks.➢ Designed and implemented RESTful APIs for seamless integration with external systems.➢ Optimised database queries and ensured efficient data retrieval using SQL and ORM frameworks.➢ Conducted code reviews and provided constructive feedback to team members, ensuring adherence to coding standards andbest practices.➢ Actively participated in Agile development processes, including sprint planning, daily stand-ups, and retrospectives.➢ Designed and implemented data pipelines and ETL processes to transform and load data from different sources.➢ Utilised Git for version control and collaborated with a distributed team using GitHub for code sharing and review.➢ Integrated machine learning models into existing applications for predictive analytics and data-driven insights.➢ Deployed applications on AWS and utilised various cloud services for scalability and reliability.➢ Integrated third-party APIs and services to extend the functionality of web applications.➢ Collaborated with UI/UX designers to implement responsive and user-friendly front-end interfaces.➢ Researched and implemented best practices and new technologies to enhance the development process.

As a Consultant provides training and is available to solve challenging issues in software development challenges.➢ Build and provide support in back-ends primarily with Django and Flask while creating Rest APIs in python.➢ Build and provide help in web scraping and regularisation libraries➢ Solving large-scale technical computing problems with an emphasis on data management, analysis, and visualisation andoffers solutions for big-data analysis and scientific computing solutions➢ Helping in all phases of the Python-based software project: project planning, training, management, consulting, programmingand testing➢ Collaborated with cross-functional teams to gather requirements and translate them into technical specifications.

Proficient in Data analysis and its curation, utilisation and cleaning. Have good experiencewith machine learning and deep learning algorithms and their deployment as well asintermediate skills in Python and R programming language.➢ Developed Python scripts and automation tools to streamline data processingtasks, resulting in significant time and cost savings.➢ Collaborated with data scientists to preprocess and clean large datasets usingPandas and NumPy to make various QSAR based ML models for prediction ofinhibitors using rdkit and the scikit-learn library.➢ Develop an NLP based model for extraction data and finding and making relevantkeywords from research papers (.pdfs).➢ Integrated machine learning models into existing applications for predictiveanalytics and data-driven insights.➢ Design Website using Flask and Django using HTML, CSS, Angular, React.js,Bootstrap.➢ Deep learning based model for predicting active and inactive chemicalcompounds by using their fingerprints. and done Meta-Analysis using R.➢ Experience in OS: Linux/Unix Ubuntu & Windows power shell.➢ Implemented database models and performed data migrations.➢ Conducted unit testing and resolved bugs to ensure application stability.