Tarun Sharma

Motivated and detail-oriented Data scientist with expertise in creating dynamic and insightful visualizations using Tableau,Power BI, and Python. Skilled in data wrangling, UX/UI dashboard design, and statistical analysis to support data-driven decision-making. Experienced in building engaging visual analytics tools, implementing quality assurance protocols, and fostering clear communication with diverse stakeholders. Passionate about leveraging data visualization for advancing sustainable
energy initiatives..

• Cultural Coordinator - Friends of India Student Organization at Clarkson University.
• Worked as a volunteer in back stage committee for pet shows which took place in Hyderabad on 2019.
• Accomplished the role of high school sports captain, demonstrating exceptional leadership, teamwork, and dedication.

• Analyzing Diffusion Pattern of Electric Vehicle and Gas Station data of New York State
– Extracted and scraped the gas station data from different sources of New York State using Python.
– Analyzed different geo-graphical ranges to estimate the behavior of Carbon emissions.
– Presented the output of weekly analyzed reports using data visualization techniques in Power BI and Tableau.
• Biodiversity and land classification Analysis
– Extracted and identified data patterns from various sources of the New York State website using Python.
– Collected and analyzed internal and third-party data to track land classification, greenhouse gases, and carbon footprint using
statistical tools such as SAS and STATA to identify ad fill data gaps for carbon reduction.
– Presented the output of weekly analyzed reports by creating interactive dashboards using Power BI and Tableau.
• Basketball Tournament Database
– Developed a database by collecting data related to basketball from different cities.
– Performed all the SQL operations to make the structured data in the database for further querying of data.
– Created a relational database to display the winner among the teams based on round robin game format.
• Monitoring CO2 emissions from passengers vehicles
– Identified the key factors that contribute to CO2 emissions from vehicles.
– Developed predictive models that can estimate the CO2 emissions based on 4 vehicle features.
– Visualized the data using Python and Power Bi to identify the difference in CO2 emission of different vehicles.
• MBA Database
– Extracted and collected the data provided by University .
– Analyzed the information of MBA school students about fees and scholarships by using SQL in PHP-Myadmin.
– Created a front-end application to connect the database and displaying the data of students based on different features using flask in Python language