Accomplished Full Stack Developer with expertise in data analysis and cloud technologies, delivering robust applications through a combination of front-end and back-end skills. Proven ability to implement data-driven solutions and optimize performance via cloud platforms, enhancing user experience while aligning with business objectives. Experienced in Agile methodologies and equipped with a diverse toolkit of development tools. Committed to continuous professional development to leverage emerging technologies and drive innovation.
Programming & Databases : Python, Java, Java Script, MySQL, MS SQL Server,R,SAS,Pandas,NumPY
Web Technologies : ReactJS, HTML, CSS, Bootstrap, REST API’s, Hibernate, Spring, GraphQL, Hibernates
Methodologies : SDLC, Waterfall, Agile, CI/CD, Jenkins
Cloud Platforms: AWS (S3, RedShift, Glue, EC2, Athena), Microsoft Azure, Google Cloud Platform
Data analysis and visualization : Statistical Analysis, Data Mining, Machine Learning, Tableau, Power BI, D3js
Development tools : IDEs: Eclipse, Visual Studio, PyCharm, Jupyter Notebook, Anaconda, Project Management: Jira
Database Management : SQL: PostgreSQL, Oracle, NoSQL: MongoDB, Cassandra
Project 1 : Twitter Sentiment Analysis .
Description : Sentiment Analysis is the automated process of analyzing text data
and sorting it into sentiments positive ,negative or neutral.
Project 2 : Automation Of Resume Quality Assessment Using Machine Learning
Algorithm.
Description: In a typical service organization, professionals with a variety of
technical skills are hired and assigned to projects to resolve customer issues. This
task of selecting the best talent among many others is known as Resume
Screening. Recruitment of appropriate people for certain positions is critical for
any companies or organizations. Manually screening to select appropriate
candidates from large amounts of resumes can be time-consuming. By
investigating the dataset, we identified some factors or features that could be useful
to discriminate good resumes. To do this end, we presented a machine learned
solution with rich features and machine learning methods.
• Earned participation certificate in Android App Development course conducted by Apptronix Technologies in collaboration with Sandeep Institute of Engineering & Management
• Participated in Machine Learning workshop by Ramson Techlabs, successfully completing all assigned projects
• Attended Ethical Hacking workshop at IIT Hyderabad as part of Megathon event
• Achieved 83% score in NPTEL online certification course on Programming in Java
• Attended Ethical Hacking workshop at IIT Hyderabad as part of Megathon event
• Achieved 83% score in NPTEL online certification course on Programming in Java