Divakar Kumar

Divakar Kumar has work experience in various companies. From March 2021, they worked as a Data Analyst at MedTourEasy, where they focused on a project called "Predicting-Blood-Donation-Data." Divakar used TPOT to select Logistic Regression as the best model for the dataset, allowing for accurate forecasting and potential life-saving actions.

From July 2021 to October 2021, Divakar served as a Data Analyst Intern at A for Analytics IT solution. Here, they imported data from SQL Server DB to Power BI, generated reports, and created computed columns using Dax Queries. Additionally, they optimized existing queries and stored procedures and visualized reports using Power View and Power Map.

Finally, they joined Exponentia.ai in November 2021 as an Associate Business Intelligence Engineer. In this role, Divakar worked on analyzing, designing, developing, testing, and implementing business intelligence using QlikSense. Divakar designed and developed QlikSense dashboards by extracting data from various sources and optimized performance in QlikSense applications. Divakar also demonstrated expertise in Qlik SaaS, AutoML, and Qlik App Automation.

Divakar Kumar completed their Bachelor of Technology (BTech) in Electrical and Electronics Engineering from Lovely Professional University from 2017 to 2020. Prior to that, they obtained a Diploma in Electrical and Electronics Engineering from ST. Mary's College of Engineering & Technology from 2014 to 2017. Divakar also completed their intermediate education in PCM (Physics, Chemistry, and Mathematics) from D.V.C. +2 High School between 2012 and 2014. In addition to their formal education, Divakar acquired various certifications, including Time Series Analysis using ARIMA and Time Series Analysis using SARIMA from MachineHack in 2022, Neural Networks and Deep Learning from Coursera in 2022, and Tableau Training and Certification-Data Visualization from Udemy in 2021. Furthermore, they completed several data analytics and manipulation courses offered by DataCamp in 2021, such as Data Analyst with Python, Introduction to Databases in Python, Cleaning Data in Python, Data Manipulation with pandas, Exploratory Data Analysis in Python, and many others.