Mounica Jagannathan profile photo 1 on Tal

Mounica Jagannathan

Student @ The Apollo University

Chittoor

4+ years of work experience

The Apollo University
Sep 20223 yrs 10 mosPresent

Chittoor, Andhra Pradesh, India

Hair Coaction
Jun 20253 mosAug 2025

Delhi, India

During my internship as an AI Developer at Hair Coaction, I had the opportunity to lead a team in building a deep learning-based hair disease prediction system from the ground up. From handling raw image datasets to transforming them through denoising, enhancement (CLAHE/Histogram Equalization), and data augmentation, I worked on strengthening the model’s learning foundation.We experimented with multiple deep learning and transfer learning architectures, applied L1/L2 regularization techniques, and optimized activation functions to improve performance. By following a modular coding approach and systematically evaluating results, we ensured clarity and scalability. The project culminated in deploying a fully functional application using Streamlit — turning complex AI research into a practical, real-world solution.
Suvidha Foundation (Suvidha Mahila Mandal)
Apr 20253 mosJun 2025

Remote

I developed LexBot: Transformer-Based Argument Generation for Legal Support Systems, an AI-driven solution designed to assist in automated legal reasoning and argument generation. Built using Python, PyTorch, and Hugging Face Transformers, the system leverages Mistral models fine-tuned on legal benchmark datasets such as CaseHOLD and LexGLUE.The project focused on legal NLP, argument mining, and structured reasoning to generate context-aware legal arguments. I also authored a research paper detailing the methodology, fine-tuning strategy, evaluation metrics, and experimental results, aiming for publication in a reputed conference/journal.
NeuVeu
May 20242 mosJun 2024

Renigunta, Andhra Pradesh, India

I contributed in the data preparation and visualization stages of the project. I assisted in collecting, cleaning, and preprocessing large datasets comprising weather and retail/sports sales information. Using SQL and Python with libraries like Pandas and NumPy, I helped ensure the data was accurate, consistent, and ready for analysis by addressing issues such as missing values, duplicates, and formatting inconsistencies. Following this, I designed and developed interactive dashboards using Power BI to uncover and present key insights. Through dynamic visualizations—such as filters, slicers, and charts—I effectively illustrated the relationship between weather patterns and sales trends across various product categories. My work aimed to transform complex datasets into intuitive, actionable insights that supported informed decision-making based on seasonal sales behavior.

Education

The Apollo University

Bachelor of Technology - BTech, CSE

The Apollo University

20224 yrs2026
Sri Chaitanya College of Education

Junior High/Intermediate/Middle School Education and Teaching

Sri Chaitanya College of Education

20202 yrs2022

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Headline

Student @ The Apollo University

About

I'm a CS student at The Apollo university who's skilled in Data Analytics, creating AI models, developing apps and websites using both MERN stack and Python, and seeking an job opportunity to apply my experience in a real tech scenario, participates in hackathons and free contributions, and also interested in freelancing

Location

Chittoor

Work experience

Student at The Apollo University, Sep 2022 - Present · 3 yrs 10 mos, Chittoor, Andhra Pradesh, India

AI Developer Intern at Hair Coaction, Jun 2025 - Aug 2025 · 3 mos, Delhi, India, During my internship as an AI Developer at Hair Coaction, I had the opportunity to lead a team in building a deep learning-based hair disease prediction system from the ground up. From handling raw image datasets to transforming them through denoising, enhancement (CLAHE/Histogram Equalization), and data augmentation, I worked on strengthening the model’s learning foundation.We experimented with multiple deep learning and transfer learning architectures, applied L1/L2 regularization techniques, and optimized activation functions to improve performance. By following a modular coding approach and systematically evaluating results, we ensured clarity and scalability. The project culminated in deploying a fully functional application using Streamlit — turning complex AI research into a practical, real-world solution.

AI Research Intern at Suvidha Foundation (Suvidha Mahila Mandal), Apr 2025 - Jun 2025 · 3 mos, Remote, I developed LexBot: Transformer-Based Argument Generation for Legal Support Systems, an AI-driven solution designed to assist in automated legal reasoning and argument generation. Built using Python, PyTorch, and Hugging Face Transformers, the system leverages Mistral models fine-tuned on legal benchmark datasets such as CaseHOLD and LexGLUE.The project focused on legal NLP, argument mining, and structured reasoning to generate context-aware legal arguments. I also authored a research paper detailing the methodology, fine-tuning strategy, evaluation metrics, and experimental results, aiming for publication in a reputed conference/journal.

Data Analyst Intern at NeuVeu, May 2024 - Jun 2024 · 2 mos, Renigunta, Andhra Pradesh, India, I contributed in the data preparation and visualization stages of the project. I assisted in collecting, cleaning, and preprocessing large datasets comprising weather and retail/sports sales information. Using SQL and Python with libraries like Pandas and NumPy, I helped ensure the data was accurate, consistent, and ready for analysis by addressing issues such as missing values, duplicates, and formatting inconsistencies. Following this, I designed and developed interactive dashboards using Power BI to uncover and present key insights. Through dynamic visualizations—such as filters, slicers, and charts—I effectively illustrated the relationship between weather patterns and sales trends across various product categories. My work aimed to transform complex datasets into intuitive, actionable insights that supported informed decision-making based on seasonal sales behavior.

Education

Bachelor of Technology - BTech, CSE, The Apollo University

Junior High/Intermediate/Middle School Education and Teaching, Sri Chaitanya College of Education