Tejal Kadave

Experience

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  Zerebral IT Solutions Pvt Ltd

  Oct 2014 - Mar 2015

  Software Engineer

  • Operation Engineer Responsibilities:- Extracted data from websites/APIs using XPATH for (MarketCheck Cars Inc) one of their main products • Junior Software Engineer Responsibilities:- Developed Tasktracker using Ruby on Rails technology and MySQL for official work Tracking which is still in operation - Testing and maintaining in house products (using GIT) related to the stock market and a gymnasium

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  Tata Consultancy Services,India

  Mar 2015 - Aug 2019

  Information Technology Analyst

  Worked for TCS BaNCS, which is one of the top platforms for securities settlement(Capital market)• Off-shore Responsibilities:- Consulted about 14 clients on process and operational flow of the product- Co-ordinated with clients for queries resolution, requirement gathering, and impact analysis for optimized performance- Enhanced the product to reduce complexity- Responded to regulatory changes by updating/enhancing product using technologies Oracle (PLSQL), SQL, Unix, and Python • On-site Responsibilities:- Ensured smooth operation of the system by consulting and making the process efficient- Analysed customer satisfaction feedbacks and improved process flow for user-friendly usage- Handled rollout and implementation releases and integration with other systems - Maintained the components and bug fixes management in the JIRA system Initiative and Achievements:- Conducted inductions of juniors in the team for product overview and technical sessions- Led team of 4 people in GST rollout to meet the deadlines with qualitative delivery- Updated the system reports by reducing the data pulling time by 40%- Developed reports to minimize the manual work by 30%- Created a functionality which can change the structure of the reports according to the different tax structures- Awarded TCS recognition award during GST rollout- Received client appreciation on implementation of physical settlement and Interoperability Show less

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  Tata Consultancy Services

  Nov 2020 - Aug 2021

  Data Engineer

  -Developing python code to handle complex logic while transition from Data warehouse to Datamart and automate the file creation process(ETL data processing)- Scheduling and building Azure DevOps CI/CD pipeline to deploy the ADF pipelines and debugging Kubernetes clusters- Working with Azure synapse Analytics instance(ADLS, Azure data bricks, Azure SQL,ADF pipeline) and analyse different ways to implement requirements in efficient way in preparing data for Power BI- Document the work/report writing, discuss requirements/solutions and system design with architects/scrum masters,Migration to Snowflake,Integrate Data from various sources into the snowflake platform,supporting establishing and streamlining the data warehouse deployment process in snowflake via DBT,Complex buisness logic data transformation in DataBricks,and handling completion of tasks with the team-Power BI reporting and data preparation for reports which made reporting 20% efficient-Worked on installation of Docker using docker box,creating images and Docker file-Wrote PySpark Scripts to apply check on data to generate reports (Containing millions of records) to end users and Optimized the report generation process by 90% discarding manual intervention Show less

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  Tanco Autowrap

  Jan 2022 - Mar 2023

  Data Analytics Engineer

  -Designing the machine learning data preparation model to process complex data by integrating various data files of pastureland target fields -Exploring multiple data augmentation and data splitting techniques for small and highly distributed data to improve overall performance-Building a ML model to predict various traits (e.g. yield, sugars, nitrates) of crop matter to determine if the crop are ready for forage -Research and study on 8 types of images with different wavelengths considering the environmental conditions (sunny, cloudy or rainy) during data collection, given that the data was collected from different land types-Leading a team of data collection to the rules and transfer and prepare data files properly-Applying transfer learning (using different pre-trained models and a combination of pre-trained models) to improve the evaluation percentage from 20% to 85% Show less

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  Xpedition

  Jun 2024 - now

  Data and AI Consultant