About Me
Anukriti Vibhuti is an IT professional, with 6+ years of experience of technical competency in software development and delivery, and business intelligence. Her background in software engineering and data management, now allied with statistical and data analysis, report handling, and account management, informs her of a mindful yet competitive approach. She has gained her master's degree in 'Business Information Management and Systems' from La Trobe University, Melbourne; with a graduation in 'Computer Science Engineering (B.E.) ' from VTU, India. Anukriti is fuelled by her passion for understanding the nuances of data in strategies and decision-making. She considers herself a ‘forever student,’ eager to build both on her academic foundations in 'IT and Business', and stays in tune with the latest data-science studies through continued certifications and capstone projects.
Anukriti's hunger for knowledge and determination to turn information into action has contributed to her past successes with great recognition in her team. She has not only led data-driven campaigns increasing the market values for heavy-hitting brands but also helped spread health awareness through her analytical skills. She enjoys solving problems, and what better way to refer to such solutions than data-directed decision-making?!
Anukriti believes that continuous learning and mindfulness at the workplace are key to success - a tenet she lives out through her interests in yoga, meditation, psychology, writing, and painting. In her leisure time, she likes to spend time with her family and friends, explore places and their cultures, and try worldly cuisines. Her passionate nature brings her inquisitiveness to her work.
Anukriti has been working as a self-employed Data Scientist/Analyst/Engineer and is now looking for some new opportunities with full-time possibilities. She is always curious about new data insights and uses SQL, R programming, Spark-R, Posit (formerly RStudio), PowerBI / Tableau, and Advance Excel / Spreadsheets to complete her data projects. She also uses Machine Learning algorithms to foretell data predictions as required by businesses.