Mumbai, Maharashtra, India
- Working as an I.T. Officer at Bank of Baroda, contributing towards Data Science & GenAI Team. Working on ML and GenAI models aimed at financial analysis by utilizing Python Prog. & APIs. Leveraging NLP & Prompt Engineering to optimize model capabilities. Building & hosting Web Apps for model visualization using Flask, HTML & CSS. - Having 3 years of experience as Systems Engineer(Data Analyst) at TCS, contributed as a Python Developer in Data Analytics & Visualization project. Gained extensive experience in Python Programming, Perl Programming, Shell Scripting, Automation Scripts & Workflows within Unix/Production environment. - Having 4 months of experience as an intern at TCS in the Data Analytics & Visualization project 'PEGA'. - Got pre placement opportunities from TCS, Wipro & Infosys. Qualified TCS Codevita, TCS NQT, Infosys HackWithInfy, WIPRO, GATE 2021, TCS Wings1, IBPS SO(I.T. Officer) 2023-24, IBPS SO(I.T. Officer) 2024-25, JAIIB Certified
Working as an I.T. Officer(Assistant Manager) at Bank of Baroda, contributing towards Data Science Team. Working on ML and GenAI models aimed at financial analysis and advisory by utilizing Python Prog. & APIs. Leveraging NLP & Prompt Engineering to optimize model capabilities. Building & hosting Web Apps for model visualization using Flask, HTML & CSS.
Contributed as a Python Developer in the Data Analytics & Visualization project 'InfoVista'. Gained extensive experience in Python Programming, Perl Programming, and Shell Scripting to develop and manage Automation scripts & Workflows within a Unix environment. Enhancing both technical and problem solving skills. Gained valuable experience in managing Production Environments and got valuable exposure towards Web Portal Development.
PEGA's decisioning capabilities help organizations make smarter, data-driven decisions. PEGA integrates AI and machine learning to enhance decision-making processes, providing insights and recommendations based on large datasets and complex patterns. PEGA leverages both predictive models, which use historical data to forecast future behavior, and adaptive models, which continuously learn and adjust based on new data and interactions.
By integrating advanced networking technologies and robust cybersecurity measures, BSNL ensures the efficient and secure delivery of telecom services across India. It involves a combination of state-of-the-art infrastructure, rigorous security protocols, and continuous monitoring to safeguard against evolving threats. Gained insights regarding Networking, Cyber Security and its practical implementation in BSNL, Infrastructure, Access Networks, Core Network, Policies & Protocols.
Gained insights to develop applications for Android devices. It was a series of hands-on coding projects that covered fundamental concepts in CS along with android application development. Built an android application through collaborative learning.