R PRAVEEN KUMAR

Experienced Senior Analyst with expertise in financial modeling and business analysis. Skilled in Python, SQL, statistics, visualization, machine learning, deep learning, and NLP. Achieved Pole Star Award for top performance at Daloopa Pvt. Winner of Daloopa Ideathon and certified in Data Science and Machine Learning and Financial Modeling. Seeking a data scientist position to utilize my skills and experience in developing end-to-end machine learning models for real-world problems.

Zoho Project Automation

Initiated and developed an automated system to monitor employee performance, leveraging Selenium for web scraping to extract and preprocess data from diverse sources. Personally constructed and managed the SQL database, optimizing data storage and retrieval for seamless integration with a Power BI dashboard updated hourly. This empowered management with real-time insights, enabling swift decision-making based on accurate performance metrics. The project significantly reduced manual workload and enhanced data accuracy, earning recognition from management for its contribution to operational efficiency.

Delta
Delta is a web-based tool developed for comparing changes in Excel files hosted on a web server. It categorizes discrepancies like missing data and incorrect merging, offering a user-friendly interface for reviewing both full and partial files. Developed using Python with pandas for data manipulation, openpyxl for Excel operations, and streamlit for the web interface.

Stocky AI
Developed an end-to-end stock prediction project that utilized data collection, data pre-processing, feature engineering, machine learning, and web application development. Collected stock data from Yahoo Finance and pre-processed the data to remove missing values and normalize the features.
Built an LSTM neural network model to predict stock prices. Deployed the model on Streamlit, allowing users to input a stock symbol, select a time period, and visualize the predicted stock prices using candlestick charts. Demonstrated proficiency in data science techniques such as data
pre-processing, feature engineering, machine learning, and web application development. Developed skills in Python, TensorFlow, Keras, Pandas, NumPy, Matplotlib, and Streamlit. Utilized problem-solving and critical thinking skills to solve real-world problems.