Experience

• 

  Inmovidu technologies pvt limited

  Sept 2020 - Oct 2020

  Data science intern

  I worked over a data science project in this internship.

• 

  Bitwise inc

  Aug 2021 - Nov 2021

  Project trainee

  Extract, Transform, Load (ETL): Played a key role in the ETL process, including extracting data from various sources, such as databases, APIs, and files, and transforming it into the desired format for analysis and data warehousing. Data Mining: Utilized data mining techniques to identify patterns, inconsistencies, and anomalies in the data, enabling the implementation of corrective measures and ensuring data quality. Debugging: Proficient in investigating and resolving data-related issues and error requests from clients, using analytical skills to identify the root cause of errors and implement appropriate solutions. Linux: Operated in a Linux environment, performing tasks such as executing scripts, managing file systems, and configuring ETL tools. Developed proficiency in command-line operations and shell scripting. Python (Programming Language): Utilized Python extensively for data manipulation, transformation, and analysis. Developed custom scripts and functions to handle complex data transformations, automate tasks, and optimize the ETL pipeline. Client Communication: Collaborated with clients to understand their requirements and provided timely and effective solutions to their error requests. Developed strong communication skills to ensure client satisfaction. Team Collaboration: Worked closely with cross-functional teams, including database administrators, data analysts, and developers, to ensure seamless integration and delivery of ETL solutions. Efficiency Enhancement: Employed various techniques, such as automation and optimization, to enhance the overall efficiency of the ETL pipeline and improve the data processing workflow. Show less

• 

  Cognizant

  Mar 2022 - now

  Project Highlights:Large Language Models (LLMs): Throughout my tenure at Cognizant, I have actively worked on LLMs, such as T5, GPT, and BERT. By harnessing the power of these models, I have designed and implemented innovative solutions that address complex NLP challenges. From sentiment analysis and text summarization to language translation and named entity recognition, I have developed LLM-based applications that have streamlined processes and improved decision-making for our clients. NLP-Based Projects: As a Data Scientist, I have spearheaded numerous NLP-based projects that have made a significant impact across various industries. I have developed custom NLP algorithms and models, enabling clients to extract insights from unstructured text data, enhance customer sentiment analysis, automate information extraction, and facilitate intelligent document processing. Expertise in Teradata and Oracle DB: I have extensively worked with Teradata and Oracle databases, employing them as robust storage and retrieval systems for handling large volumes of structured and semi-structured data. Leveraging my proficiency in SQL, I have designed optimized data pipelines, performed complex joins and aggregations, and implemented efficient data extraction methodologies. This expertise has enabled me to deliver scalable solutions that meet the evolving needs of our clients.PySpark and Jupyter: To harness the power of distributed computing and handle big data challenges, I have utilized PySpark extensively. By leveraging PySpark's capabilities, I have designed and implemented data preprocessing pipelines, feature engineering workflows, and scalable machine learning models. Tableau for Data Visualization: As a proponent of data storytelling, I have leveraged Tableau to create visually appealing and interactive dashboards that enable stakeholders to derive insights from complex datasets effortlessly. Show less

  • Data Scientist (Programmer Analyst)

    Jul 2022 - now

  • Intern

    Mar 2022 - Jul 2022