Manmohan Bisht

Conducted marketing mix modeling to optimize advertising budgets and improve ROI for clients in the retail and healthcare industries. Utilized data from multiple sources, including sales data, customer surveys, and media spending data, to analyze the effectiveness of various marketing channels. Implemented advanced statistical techniques, such as multivariate regression analysis, to identify key drivers of sales and ROI. Conducted sentiment analysis on news articles related to publicly traded companies to predict stock price movements. Utilized NLP techniques to analyze and classify text data, and built machine-learning models to forecast stock prices. Developed an AI-assisted college student query system to provide personalized support to students and improve the efficiency of the support process.

Involved in Data Prepossessing, Data Cleaning Techniques for making the data useful for creating Machine Learning models. Analyzed the data and found insights into the dataset, Performed EDA and created visualizations using Tableau.

Developed and implemented predictive models using machine learning techniques to forecast stock prices for a financial institution. Utilized data mining techniques to extract and analyze large sets of historical stock market data to identify trends and patterns. Built and maintained a data pipeline for collecting and cleaning real-time stock market data for model training and testing.

Conducted research on Private Equity, Investment Banking, and Consulting Companies. Prepared reports and charts on the basis of Share Analysis. Tracked, monitored, and recorded market data as well as preparation of forecasts on financial economic events.