Paranjyoti Lahkar

Paranjyoti Lahkar is a data scientist with extensive experience in scientific research and a strong focus on applying quantitative skills to solve real-world problems, particularly in the field of urban transportation.

With proficiency in languages such as Python and SQL, Paranjyoti excels in various machine learning concepts including Feature Selection, Regression, Clustering, Classification, and more, and is adept at tools like Git, Jupyter, Tableau, and Anaconda.

His expertise extends to libraries like NumPy, Pandas, sci-kit-learn, and visualization tools such as Matplotlib, ggplot2, Seaborn, Plotly, among others. He is well-versed in databases like MySQL and MongoDB, showcasing a diverse skill set in data analysis and visualization.

Paranjyoti Lahkar's academic background includes a Master of Science (MSc) in Civil Engineering from Virginia Tech and a Bachelor of Technology in Civil Engineering from the National Institute of Technology Silchar.

He has held key positions at organizations like Weris Inc. as a Sr. Transportation Data Science Analyst, and previously worked as a Data Analyst at the District Department of Transportation (DDOT). His experience also includes roles as a Graduate Research Assistant, a Co-op Intern, and a Volvo Project Associate (Data Science) at various institutions.

In addition, he has contributed as a Teaching Assistant, Co-Founder, Project Leader, General Secretary, and Intern at different stages of his academic and professional journey, showcasing a well-rounded background in data science, research, and leadership roles.

Continuous learning is a cornerstone of Paranjyoti's career, evident in his pursuit of new technologies and methodologies for addressing complex transportation challenges through data-driven solutions.