Responsibilities included-• Data Extraction, data cleaning, data preprocessing, EDA, Feature Engineering• Data Visualization and decision-making regarding stocks.• Building trading strategies and inserting newly generated data into databases using python.

• Data Understanding, Data Visualization using various tools like Excel, Tableau, SQL, PowerBI• Created ML models using Data driven techniques, Model based methods, ARIMA model, LSTM model for forecasting future stock prices also Natural Language Processing, Random Forest, Naive Bayes, Logistic Regression for Resume Classification, Recommender Engine, etc.• Used Various python libraries like pandas, numpy, seaborn, matplotlib, sklearn, keras, tensorflow ,plotly,ect. Data Collection, EDA, Data Cleaning, Data Preprocessing, Model validation.• Deployed models using web frame application streamlit. Project Presentation• Excel Formulas and Visualization• Based on visualizations and calculations, draw important insights which help company’s growth.

Responsibilities included- • Customer Daily report, Monthly report, Yearly report• Customer management, Team collaboration, Marketing• Monitoring day to day activities, Client interaction.• Effective in working independently and collaboratively in teams• Clean and enrich the raw data for perfect reporting and generating dashboards