Ajeet Kumar

Maintain and catalog, existing and newly created analytics models. Collaborate with data scientists, catalog and document newly created models. Work on data pipelining of input data sources to enable predictions models to multiple regions and crops and automate data pipelining of input data to be used in prediction modeling and production activities. Create necessary workflow structures to use in automated production environments, develop partnerships across regions and contribute to expanding and improving the prediction models. Collaborate with breeding partners across the globe to expand prediction models to new crops and pipelines. Deploy analytics models into a production environment and manage analytics activities based on the harvest schedule. Work with breeding/regional leads to manage and maintain analytics schedules and deliver required prediction reports on time.

Predicted Stock Price Forecasting with good accuracy to enable the company to make informed investments. Developed an algorithm to understand customer behavior leading to 95% success In targeted marketing campaigns. Conceptualized & implemented an image classification and image classification using Convolution Neural Network in Keras and Tensorflow. Conceptualized & implemented a sentiment analysis tool to rate the financial Competence of companies using machine Learning Or Deep Learning. Compiled pricing data for competitive analysis by performing web scraping in Python. Supervised model development, testing & validation of 100+ financial products and services. Created charts in Jupyter Notebook & Colaboratory notebook to perform preliminary analysis & visualize data using Matplotlib. Originated a recommendation engine to suggest an ideal cluster price for financial services offered by top companies.

Used ETL Pipeline to extract data from a variety of data sources like RDBMS servers like Oracle. MS SQL servers, API. Performed Exploratory data analysis or univariate analysis, data preprocessing, such as Data Cleaning, and data manipulation using python. Performed Data Visualization (Matplotlib, Seaborn) and applied machine learning models. Employed advanced text mining algorithms to facilitate the identification of search intent latent in individual keywords.

Graduation