Vineet Kumar

I'm Vineet, as a second-year M.Tech student at IIT Roorkee, I am deeply immersed in data analytics and data science. With a robust background in mathematics, honed through years of academic pursuit, I bring a wealth of analytical skills to the table. My particular fascination lies in harnessing the power of mathematics, statistics, machine learning and deep learning to untangle complex business challenges and offer actionable solutions.

Data Science, Data Analytics, Data Visualization, Machine Learning, Deep Learning, NLP

• "ARIMA and LSTM for Streamflow Time Series Forecasting: A Statistical and Machine Learning Approach". | National Institute of Hydrology, Roorkee June 2024 - August 2024
• We aimed to predict and forecast the inflow data for the Mosul Reservoir, Iraq, using historical monthly inflow data from Jun 1972 to May 2008.
• The primary objective of this analysis is to understand and anticipate future water inflow patterns, which is critical for efficient reservoir management and planning.
• This objective achieved using three different time series forecasting models, ARIMA, SARIMA, and LSTM Neural Network.

Optimizing Hydropower Generation through Evolutionary Algorithm Technique of Karun Reservoir | Applied Mathematics and Scientific Computing IIT Roorkee May 2024 - July 2024. 

• This study aims to enhance a Genetic Algorithm (GA) method to optimize weekly hydropower generation for the Karun Reservoir Dam in Iran over 13.5 years.
• The study includes time series data for reservoir inflow, storage, environment flow, maximum outflow, total Reservoir outflow, and minimum power load requirements.
• The aim is to use the GA to optimize water resource management.

Advertising Sales Prediction by using Machine Learning | Applied Mathematics and Scientific Computing IIT Roorkee December 2023 - January 2024. 

• Advertising sales prediction refers to the process of using data and predictive analytics to forecast the future sales performance of advertising inventory or space.
• This prediction is crucial for advertising agencies, media companies, and publishers to optimize their sales strategies , allocate resources effectively, and maximize revenue.

EDA on Titanic Dataset | Applied Mathematics and Scientific Computing IIT Roorkee December 2023.

• The Titanic dataset is popular for data analysis.
• It contains information about the passengers onboard the Titanic, including features like age, gender, fare, cabin, and survival status.
• We will perform exploratory data analysis (EDA) on the Titanic dataset using Python in this project.

EDA on Airline Booking Dataset | Applied Mathematics and Scientific Computing IIT Roorkee November 2023. 

• The project encompasses a comprehensive exploration of British Airline Dataset, comprising essential phases such as data cleaning, feature engineering, data visualization, query analysis, and comprehensive analysis. It reveals patterns and insights related to booking trends, customer demographics, and flight preferences.
• The study not only sheds light on the current state of the airline industry but also provides actionable recommendations for improving overall operational efficiency, customer experience, and revenue management.
• This EDA serves as a foundational exploration of the airline database, laying the groundwork for further in-depth analyses and predictive modeling.

QUALIFIED THE GATE MATHEMATICS 2023

Vineet Kumar, Deepti Rani and Millie Pant (2024). "Optimizing Hydropower Generation through Evolutionary Algorithm Technique of Karun Reservoir."

 International Conference on Emerging Trends in Business Analytics and Management Science (BAMS-ORSI 2024), IIT Bombay.

 Paper ID: 217.

• Dr. Millie Pant,

     professor

     Department of Applied Mathematics and Scientific 

     Computing IIT Roorkee

     pant.milli@as.iitr.ac.in

• Dr. Sourav Sasmal

      Assistant professor

      Department of Applied Mathematics and Scientific Computing IIT Roorkee

      sourav.sasmal@amsc.iitr.ac.in