Brijesh Tanwar
About Brijesh Tanwar
Brijesh Tanwar is a Senior Manager at Kotak Securities with a background in data science and business development, holding a Bachelor of Technology in Chemical Engineering from IIT Bombay.
Professional Experience at Kotak Securities
Brijesh Tanwar currently holds the position of Senior Manager at Kotak Securities. He began this role in 2022 and is based in Mumbai, Maharashtra, India. In this role, Tanwar is responsible for overseeing various managerial functions and contributing to the company's strategic initiatives.
Previous Role as Data Scientist at Loylty Rewardz Mngt Pvt Ltd
Before joining Kotak Securities, Brijesh Tanwar worked as a Data Scientist at Loylty Rewardz Mngt Pvt Ltd. His tenure at the company spanned from 2020 to 2022. Located in Mumbai, Maharashtra, Tanwar's role involved advanced data analysis and implementation of various machine learning techniques to enhance customer loyalty programs.
Educational Background from IIT Bombay
Brijesh Tanwar graduated from the Indian Institute of Technology, Bombay, in 2020, with a Bachelor of Technology degree in Chemical Engineering. During his four-year course, Tanwar developed a solid foundation in engineering principles and data analysis techniques.
Expertise in Advanced Data Analysis and Machine Learning
Brijesh Tanwar has developed significant expertise in advanced data analysis and machine learning. He is proficient in time series techniques such as ARIMA, SARIMA, HWES, and FbProphet. Additionally, Tanwar utilizes various Python libraries including numpy, pandas, sklearn, xgboost, fbprophet, statsmodels, matplotlib, and seaborn for data analysis and modeling. His skills also include implementing machine learning techniques like Gradient Boosting, XGBoost, Random Forest, and KNN.
Experience in NLP and Traditional Data Analysis
Brijesh Tanwar is experienced in applying Natural Language Processing techniques such as Sentiment Analysis and Multiclass Labeling. He is also proficient in traditional data analysis techniques including Logistic and Linear Regression, as well as K-means Clustering.