Niharika Sharan
Development
Telangana, India
Skills
Data Science
About
NIHARIKA SHARAN's skills align with IT R&D Professionals (Information and Communication Technology). NIHARIKA also has skills associated with System Developers and Analysts (Information and Communication Technology). NIHARIKA SHARAN appears to be a low-to-mid level candidate, with 2 years of experience.
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Work Experience
Software Engineer
DATAECONOMY
December 2022 - March 2024
- Data Science Workbench: Developed AutoML platform that enables data scientists to develop and deploy data science projects, providing an integrated environment for tasks like data exploration, feature engineering, feature selection, and machine learning • Conducted research on various Feature engineering and feature selection techniques and supervised machine learning models using python. • GEN AI: Contributed to the Gen AI project, a cutting-edge initiative aimed at advancing artificial intelligence technology. • Led efforts in natural language processing (NLP) tasks within LangChain, focusing on language understanding and processing algorithms. • Citizens Bank Project: Spearheaded the migration of data from DataStage to AWS cloud server infrastructure for the Citizens Bank project. • Played a pivotal role in the ingestion and testing phases of the data migration process, ensuring seamless transition and data integrity. • Acted as the primary point of contact (POC) with the client, facilitating clear communication, addressing concerns, and ensuring alignment with project objectives. • Provided ongoing support and training to internal stakeholders on AWS cloud technologies and data management practices, empowering teams to leverage the new infrastructure effectively. • Received commendations from the client for exemplary project management, technical expertise, and dedication to ensuring a successful data migration project.
Trainee Developer
DATAECONOMY
December 2021 - November 2022
- • Created data visualization graphics, translating complex data sets into comprehensive visual representations. • Performed various data analysis techniques like plot building using various libraries like plotly, seaborn and matplotlib for univariate, bivariate and multivariate Developed python code to identify conflicts between datasets • Data Transformation: Developed Python code to perform various arithmetical operations and operations like exponentials, logarithmic, etc among numerical columns within dataset and cardinality, replace, etc, functions for categorical columns within the dataset. • Successfully led a customer onboarding initiative resulting in a 40% reduction in time-to-value, enhancing overall customer satisfaction and retention rates while significantly improving the product adoption rate within the first quarter of implementation. • Implemented a proactive customer engagement strategy that resulted in a 30% increase in customer satisfaction scores leading to improved customer retention and loyalty.
Education
