I am not your average analyst! As a graduate student of the Data Science program and a Finance enthusiast, I have incorporated certain skills in Python automation and Machine learning. I have experience working with 3 startups in my past. 1. DADDYODA (14 months): This is my own startup aimed at supporting bloggers and storytellers to share their views globally. My vital tasks include: --> Python automation - Automated promotional emails using Python increased efficiency by 30%. --> Web development - Built a multi-user login website leveraging WordPress, HTML, and CSS. --> Marketing Analytics and Search Engine Optimization. 2. FACE (4 months): This is a startup where I provided technical support to MBA graduates, whose mission is to teach high school and college students with emerging technologies. My role here includes: --> Product development - Prepared a curriculum of Python, Data analytics, and ML. --> Online tutoring - Taught students aged between 10 to 16 years, utilizing a concept of gamified learning. 3. GoTTR (6 months): This is a New York-based startup where I got an opportunity to work with a Columbia Business school professor, where we connected timeshares to the renters. My responsibilities here include: --> Python automation - Developed a Python script to automate data scraping process, reduces manual work from 3 hours to few seconds. --> Analytical solution - Led a team of 5 to computerize data tracking process and established an email alert system, notify any uncertainties, and saved more than $5000 per month. I believe that my past vocational and scholastic experiences have instilled the skills and knowledge to be a valuable asset in my search for analytics-related roles. Skills: • Tools: Python, R, MS Excel, Tableau, MySQL, WordPress. • Libraries: Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, Keras, Beautiful Soup. • Data techniques: Neural Networks (Deep learning), Supervised and Unsupervised Machine Learning, Exploratory Data Analysis, Web Scraping, Data Visualization, Hypothesis Testing, Time Series, ETL, Statistics.