An Internship in Data Science: My Experience with Abhyaz (Mtab Technologies P Ltd.)-

24 Jan 2023 05:12 PM Comment(s) By Ssameer


During my internship with Abhyaz (Mtab Technologies P Ltd.), I had the opportunity to work with a team of experienced data scientists and learn a variety of professional statistical techniques. As a data science intern, my main responsibilities were to collect and analyze data from partners and customers, complete data cleaning and validation, and identify, analyze, and interpret trends or patterns in complex data sets.

Task performed

One of the most challenging tasks I encountered was data cleaning and validation. This involved reviewing and editing large databases to ensure that the data was accurate and consistent. I also had to ensure that the data was properly formatted and ready for analysis. Through this process, I was able to promote a robust data management platform, resulting in accurate data analysis and entry in CRM software.


Another important task that I took on was identifying, analyzing, and interpreting trends or patterns in complex data sets. This involved finding correlations and visualizing data with charts. I also performed ad hoc data investigations analysis as necessary. I was able to aggregate data from various sources and construct streamlined data pipelines.


In addition to these tasks, I was also responsible for account mapping on various industries and institutes. This involved collecting data, validating it, and then uploading the finished excel sheet to Zoho CRM software. I also had the opportunity to create a Learning Analytics dashboard from scratch, and update the master internship dashboard and Recruit Analytics dashboard.


Throughout my internship, I was able to develop a variety of skills, including advanced Excel, data collection, data enrichment, Zoho CRM management, and Zoho Analytics dashboards creation. I am grateful for this opportunity to work with such a great team and learn from experienced professionals. This experience has been invaluable in helping me understand the importance of data in the field of data science and I look forward to continuing to develop my skills in this area.


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