Prachi Pal

Experience

• 

  CodeChef_CUIET

  Dec 2020 - Jan 2021

  Promotion Member

  Promotion Executive Member - Executed Promotion activities through social media handles. Clarified and counselled doubts for 25+ participants for every technical events and discussions . Analysed and reported the improvements that can be done.

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  WNS

  Apr 2022 - now

  While starting my internship my main motive was to expand my hands-on experience & knowledge in the domain of Data Science & ML, but I also got the exposure to understand the working of a team and how it deals with a client on a regular basis.1) Supported in the earlier stage of my internship by accumulating and monitoring the required insights from Grafana Dashboards regarding the status of Airflow Dags on daily and weekly basis.2) Executed several clients and server-based incidents for different campaigns which required Azure pipelines to be reran after the completion of updates needed.3) Ran Alteryx jobs to fetch the required data and transform it into a certain way using Oracle SQL & Putty so that it could be used to observe any drastic changes in the consumer’s consumption from a region or any missing data/code changes in the backend.4) Managed few Accuzip servers as they were required to be updated with the release of new version. All the versions were tested first and then finalized so that it doesn’t impact rest files.5) Debugged various errors faced on running the measurements using Pyspark & Python and tried to get to the root cause leading us to these errors. Prepared a detailed documentation with most common issues and shared my insights on how we could resolve it.6) I received an opportunity for a new project from our clients that required me to deepen my knowledge on the backend code. Collaborated with the onshore development team regarding the measurement codes (Pyspark, Python and SQL) of different types of campaigns, further shared and optimized the results/insights.7) Cleared Microsoft exam for DP-100(Designing and Implementing a Data Solution on Azure) sponsored by WNS which provided experience with Azure Machine learning skills, and helped in understanding on working environment of data science workloads on azure, conducting experiments and developing predictive models, managing and improving models. Show less

  • Trainee Analyst - (Research and Analytics Department)

    Apr 2023 - now

  • Intern Trainee - (Research & Analytics Department)

    Apr 2022 - Mar 2023