SAI KRISHNA TEJA LAM

Enthusiastic software engineering graduate with hands-on experience from projects and internship. Strong problem-solving skills and collaborative mindset. Eager to contribute to a dynamic software development team and thrive in the fast-paced tech industry.

Sparks Foundation - Data Science & Business Analytics (Jan - May 2021 ):

• During my internship, I specialized in data collection, analysis, and visualization.
• I developed code to gather and process data from various sources, built and fine-tuned machine learning models using R, Python, and other tools, and created insightful dashboards with BI tools like Tableau and PowerBI.
• My diverse skill set enables me to extract actionable insights and drive informed decision-making processes.

Detection of fake news in social media - Cyber Security:

• Developed and trained an NLP technique for detecting 'fake news' on social media.
• Utilized the Word2Vec model to represent words in a large text corpus as vectors in an n-dimensional space, bringing similar words closer together.
• Employed K-Means for data prediction, specifically finding centroids. Utilized the 2016 US presidential election datasets for system creation. Achieved a final accuracy of 87%.

RPC based communication - Distributed Systems :

• Establised a computational server using remote procedure calls to perform operations like upload, download, delete,rename files in client and server side.
• Created a synchronized storage service like Dropbox with a computational
  server performing operations in synchronous & asynchronous way.

Emotion Recognition using Python- Machine Learning :

• Developed a machine learning model utilizing a Conventional Neural Network to discern human emotions.
• Implemented a model to detect facial emotions using pre-trained CNN architecture, such as VGG16.
• Utilized haarcascade_frontalface_default.xml for accurate face detection.
• Achieved a final accuracy of 74% by employing the Adam optimizer and early stopping algorithms.