Prachi Pal profile photo 1 on Tal

Prachi Pal

Data Scientist - Associate Specialist @ MSD (Merck Sharp & Dohme) || Ex-WNS || M.Tech @ AI & ML at BITS Pilani (2024- 2026) ||B.E in CSE with specialization in Data Science (2019-2023)

India

4+ years of work experience

MSD
Aug 20251 yr 1 moPresent

India

WNS
Apr 20255 mosAug 2025

Hybrid

WNS
Apr 20232 yrsMar 2025

Hybrid

Working in Research and Analytics department our main objective is to deliver useful insights to our clients and up bring any sought of modifications that could provide efficiency while creating campaigns, targeting audience and measure the end results as it provides the client a perceptive regarding the effectiveness of the campaign. We are working with giant USA retailer and so each campaign has its own reason to run with different levels of complexities and targeting requirements.
WNS
Apr 20221 yrMar 2023

India

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.
CodeChef_CUIET
Dec 20202 mosJan 2021

India

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.

Prachi’s AI Stack

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Education

Birla Institute of Technology and Science, Pilani

Master of Technology - MTech, Artificial Intelligence and Machine Learning

Birla Institute of Technology and Science, Pilani

20242 yrs2026
Chitkara University

Bachelor of Engineering - BE, Computer Science with specialization in Data Science

Chitkara University

20194 yrs2023

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Headline

Data Scientist - Associate Specialist @ MSD (Merck Sharp & Dohme) || Ex-WNS || M.Tech @ AI & ML at BITS Pilani (2024- 2026) ||B.E in CSE with specialization in Data Science (2019-2023)

About

email id - prachi.pal11259@gmail.com Data Scientist with more than 4 years of experience in data analytics and data science fields. Recognized by the award for Operational Excellence twice. Skilled in tech stack like Python, Structured Query Language (SQL), Pyspark, Azure Databricks and Azure Data Factory. Upskilled myself in Data Science and Machine Learning Algorithms like Linear Regression, Logistic Regression, Decision Trees, Support Vector Machine (SVM), K- Nearest Neighbour (KNN), Naive Bayes, Random Forest, and Principal Component Analysis (PCA) Proficient in visualization tools like Power BI & Tableau and collaborating them with ML Models in predicting future trends. Further consistently elevating the skillset to contribute to the projects at deeper level.

Location

India

AI stack

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claudecode

Work experience

Data Scientist - Associate Specialist at MSD, Aug 2025 - Present · 1 yr 1 mo, India

Lead Associate Data Analyst - (Research and Analytics Department) at WNS, Apr 2025 - Aug 2025 · 5 mos, Hybrid

Data Analyst - (Research and Analytics Department) at WNS, Apr 2023 - Mar 2025 · 2 yrs, Hybrid, Working in Research and Analytics department our main objective is to deliver useful insights to our clients and up bring any sought of modifications that could provide efficiency while creating campaigns, targeting audience and measure the end results as it provides the client a perceptive regarding the effectiveness of the campaign. We are working with giant USA retailer and so each campaign has its own reason to run with different levels of complexities and targeting requirements.

Data Analyst Intern - (Research & Analytics Department) at WNS, Apr 2022 - Mar 2023 · 1 yr, India, 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.

Promotion Member at CodeChef_CUIET, Dec 2020 - Jan 2021 · 2 mos, India, 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.

Education

Master of Technology - MTech, Artificial Intelligence and Machine Learning, Birla Institute of Technology and Science, Pilani

Bachelor of Engineering - BE, Computer Science with specialization in Data Science, Chitkara University