Responsibilities include:

• Using advanced computational Mathematics and Data Visualization tools like Microsoft Power-BI and Python (Matplotlib & Plotly) to analyze various data and draw inferences and testing them using Statistical Hypothesis Testing.
• Creating a Python web scraper app to scrape useful data from CoinMarketCap website.
• Creating various databases to store and retrieve data using MySql & Neo4j.
• Integrating Machine Learning and Deep Learning algorithms into various projects, leveraging their predictive and analytical abilities to propel the process towards the objectives. From using clustering algorithms for effective market segmentation to deploying deep learning neural networks in complex recognition tasks.
• In the project involving customer behavior prediction, We used NLP algorithms for predicting customer satisfaction based on user review comments about products, thereby personalizing customer interactions, enhancing customer engagement and contributing to the achievement of improving customer experience.
• In Cryptocurrency market analyses project, I used supervised learning algorithms predicting closing prices aiding in better investment in the future.
• In E-Commerce Products project, We created an image classifier to automate product categorization. Leveraging the power of Deep Learning, this image classifier can analyze product images & intelligently classify them into appropriate categories, without any manual intervention.
• On each project we embarked on, I ensured a well-coordinated approach by facilitating effective communication among team members, encouraging everyone to share their unique perspectives. In an interdisciplinary field like data science, where varying skills from data collection, processing, visualization, model building to the interpretation of results are needed, harnessing the potential of every team member is critical. This practice promoted collective intelligence and enhanced creativity and problem-solving capacity.

Responsibilities include:

• Collaborating on the development of a data-intensive application, which assisted in automating the generation of motion videos with emphasis on marketing advertisement videos. The goal was to deliver effective, time-saving solutions that seamlessly translate marketing needs into compelling video content.
• Developing an advanced web scraper using JavaScript, Node.js, Puppeteer, React and MongoDB to retrieve the data needed for video creation.
• Developing a website with Node.js, React, MongoDB and a professional Git/GitHub workflow.
• Automating CI/CD pipelines for unit and integration testing, as well as the deployment the web app, database and Nginx using Docker Compose, GitHub Actions and scripting.