Preeti advises those interested in data analytics to be prepared to consistently practice solving problem statements and to take advantage of the plethora of readily available datasets online. With endless possible ways to interpret data, the field can be challenging, but Preeti stresses that “practice makes you perfect” and the pay-off in seeing your work be used in critical decisions is one of the most rewarding aspects of the industry.
The ability to leverage data can make or break the decision-making process for businesses, but this didn’t deter alumna Preeti Lakhole’s, MIM’15, interest in pursuing her interests in data analytics and technology.
After completing her undergraduate degree in computer science at the University of Mumbai, India, Preeti had dreams of joining the vibrant community at the University of Maryland College of Information Studies (iSchool). She earned a spot in the Master of Information Management (MIM) program at the iSchool where she received the skills necessary to be successful in the field of data analytics and management.
“The coursework is a perfect blend of technology and management and the mentorship from professors and other graduate students helped me gain an overall perspective in the domain I chose to work in,” says Preeti. “After four years of general coursework in computer science, the iSchool helped me identify my specialty.”
Following the completion of her MIM degree in 2015, Preeti began her career as a Senior Data Consultant with PricewaterhouseCoopers. From building data pipelines to providing solutions to acquire clean workable data sets, Preeti has built on over six years of experience leveraging data science and analytics. Her expertise also includes working on a wide range of projects in the areas of software development, database administration, cloud computing and information security.
With a growing interest in international development, Preeti is now a Technology Specialist at the World Bank. In this role, she has been able to help with the World Bank’s financial systems that provide loans and grants to the governments of low- and middle-income countries.
Preeti advises those interested in data analytics to be prepared to consistently practice solving problem statements and to take advantage of the plethora of readily available datasets online. With endless possible ways to interpret data, the field can be challenging, but Preeti stresses that “practice makes you perfect” and the pay-off in seeing your work be used in critical decisions is one of the most rewarding aspects of the industry.
Outside of work, Preeti enjoys teaching kids Math in rural India through remote learning programs and has a special interest in cooking Italian food, singing Indian classical music and practicing yoga.