Lakshmi Alekhya Siram
@lakshmialekhyasiram
Computer science graduate with expertise in AI and Machine Learning.
What I'm looking for
I am a passionate computer science graduate from VIT-AP University, specializing in Artificial Intelligence and Machine Learning. With a strong academic background and hands-on experience in developing predictive models and neural networks, I bring proficiency in Python, R, and TensorFlow. My expertise extends to data pre-processing and algorithm optimization, with a proven track record of collaborative problem-solving in research-driven environments.
My professional journey includes internships at HCL Tech and Codegyan IT Solutions, where I contributed to IoT solutions and predictive model accuracy. I led initiatives in the University Climate Change Club, promoting sustainability and environmental awareness. My projects, such as the Dynamic Stock Forecaster and Sentiment Analysis of Hotel Reviews, showcase my ability to deliver impactful solutions.
I am committed to leveraging technology for meaningful outcomes, with interests in stock market trading and sustainable practices. I am eager to contribute to innovative projects that align with my passion for AI and data-driven insights.
Experience
Work history, roles, and key accomplishments
Project Developer Intern
Codegyan IT Solutions
Oct 2024 - Nov 2024 (1 month)
Leveraged Python and libraries like NLTK and Scikit-learn to preprocess datasets and enhance predictive model accuracy. Designed a sentiment analysis platform for analyzing social media data.
App Development Intern
HCL Tech
Jan 2024 - Apr 2024 (3 months)
Created and implemented a comprehensive IoT solution for cycle allocation, enhancing operational efficiency by 40%. Integrated Android development technologies to improve efficiency by 35%.
Education
Degrees, certifications, and relevant coursework
VIT-AP University
Bachelor of Technology, Computer Science and Engineering
2021 - 2025
Grade: 8.13 CGPA
Pursuing a Bachelor of Technology in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning. Achieved a CGPA of 8.13, demonstrating proficiency in programming and data analysis.
Sri Bhavishya Junior College
MPC, Intermediate
2019 - 2021
Grade: 96.2%
Completed Intermediate education with a focus on Mathematics, Physics, and Chemistry, achieving a percentage of 96.2%. Developed strong analytical and problem-solving skills.
Jawahar Navodaya Vidyalaya
CBSE, Secondary Education
2018 - 2019
Grade: 95.2%
Completed 10th grade under the CBSE curriculum with a focus on foundational subjects, achieving a percentage of 95.2%. This laid the groundwork for advanced studies in science and mathematics.
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Location
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