Sai Deekshith Mulakala

Highly talented and driven engineer with proficiency in Python, ETL, Cloud platforms, SQL, and PowerBI. a track record of successfully working with teams to produce high-quality data solutions. A committed and diligent professional, I am constantly looking for new possibilities to use my technological expertise and add to the success of an organization. Seasoned .NET Developer with good coding experience. Proven skills in application development and system configuration. Frequently acknowledged for friendly customer service.

• Used Microsoft Excel to develop inventory tracking spreadsheets.

• Certified in Python Programming Essentials by Cisco, Networking Academy
• Certified in Data Science Ethics by Coursera

• Healthcare Data Analytics, University of North Texas, 12/2021, 05/2022, Gathered real-time social media data from multiple platforms using APIs and web scraping techniques. Ensured data quality and compliance with relevant terms of service. Conducted preprocessing tasks to clean and normalize the collected social media data. Removed noise, stopwords, and special characters. Performed tokenization, stemming, and lemmatization to convert the text into a structured format. Developed a sentiment analysis model using machine learning and natural language processing techniques. Trained the model using labeled data to classify social media posts into positive, negative, or neutral sentiment categories. Utilized big data technologies, such as Apache Kafka and Apache Spark, to handle the incoming stream of social media data. Implemented a scalable data processing pipeline to handle the high volume and velocity of data. Created an interactive visualization dashboard to display real-time sentiment analysis results. Used popular visualization libraries like D3.js or Plotly to represent sentiment trends, word clouds, and other relevant insights.
• Blockchain Payment System in E-Commerce, University of North Texas, 01/2023, 05/2023, Conducted in-depth research on blockchain technology and its applications in the e-commerce domain. Designed and developed the architecture of a blockchain payment system for e-commerce platforms. Implemented and configured the blockchain payment system using Ethereum platform and smart contracts. Integrated the blockchain payment system with popular e-commerce platforms like Magento and WooCommerce. Implemented robust security measures, including encryption and authentication protocols, to safeguard payment transactions and user data. Optimized the performance of the blockchain payment system by analyzing and addressing scalability challenges using techniques like sharding and off-chain transactions.