Name: Binjal Soni

Job Role: Data Scientist

Experience: 1 Year 6 Months

Address: Gandhinagar, India



Skills

Machine Learning 95%
Natural Language Processing 90%
Data Analysis 90%
Generative AI 85%
Data Visualization 85%

About

About Me

With a strong foundation in Data Science, I am particularly passionate about projects that leverage my expertise in Machine Learning, Neural Networks, Large Language Models, Deep Learning, Generative AI, and Natural Language Processing. My proficiency in Data Analysis and Computer Vision enables me to address intricate problems effectively. I am eager to contribute to innovative projects that push the boundaries of technology and drive impactful results.

  • Area of Interest: Data Science, Machine Learning, Neural Network, Natural Language Processing, Computer Vision, Deep Learning, Prompt Engineering, Generative AI, Large Language Models, Data Visualization, Data Analysis, Big Data & Data Engineering
  • Frameworks: DJango, Visual Studio Code, Jupyter Notebook, Microsoft Power BI, PI System, Streamlit & Tableau
  • Soft Skills: Communication, Teaching, Problem-solving, Time Management, Teamwork, Leadership, Creativity, Adaptability & Critical Thinking
  • Programming Language: Python, C++ & C

0 +   Projects completed

LinkedIn

Experience

Experience


Zydus Life Sciences
Data Science Intern
June 2023 - April 2024

During my internship, I leveraged predictive modeling techniques to optimize operational parameters of pharmaceutical machinery such as FBD, HSMG, and GCM. Additionally, I developed "Document Assist," an AI chatbot for document interactions in English audio, and spearheaded "DMAR," a real-time Min/Max CPP report system for machinery and batch comparisons. These initiatives aimed to enhance user accessibility and facilitate data-driven decision-making in pharmaceutical manufacturing processes. By analyzing historical data and employing machine learning algorithms, the goal was to predict optimal settings for factors like temperature, pressure, and speed, ultimately improving production efficiency, reducing batch time, and maintaining stringent quality standards.

Tax Tech India Pvt. Ltd.
Quality Assurance Engineer
March 2022 - August 2022

During my time at TTI as a Quality Engineer, I learned a lot about checking software by hand and understanding the important steps for making sure it works well. I got to practice a lot by actually testing software myself and following clear steps to make sure it was good enough for use. It was all about making sure the software worked right and didn't have any problems when people used it.



Education

Education


LDRP Institute of Technology & Research, Gandhinagar
Bachelor of Engineering
2017-2021

Grade: 9.01 CGPA

Pandit Deendayal Energy University, Gandhinagar
Master of Technology
2022-2024

Grade: 9.32 CGPA

Projects

Projects

Below are the sample Machine Learning, Natural Language Processing, Large Language Models, Data Analytics projects which I have done during my post graduage study along with internship.

Optimizing the Parameters of Different Pharmaceutical Machinery

Engaged in optimizing pharmaceutical machinery parameters, including fluidized bed dryers, high shear mixer granulators, and Glatt coating machines. Utilized data visualization and various optimization techniques to ensure consistent batch times by identifying and implementing optimal parameter values.

PDF Summarization and Multilingual Text to Audio Translation

Developing a project enabling users to upload research papers for automated summarization into audio formats in multiple languages, including English, Gujarati, and Hindi. Leveraging pretrained deep learning models to facilitate this process, ensuring efficient summarization and multilingual Text-to-Audio translation.

Fake News Detection using Different Statistical Models with and without Clickbait

The study explores using machine learning to detect fake news and clickbait on Twitter, created and used clickbait as input parameter to get better accuracy, showcasing LSTM's strong performance and a hybrid model's creation for improved accuracy.


Document Assist: Facilitating Efficient Interactions with Our AI Chatbot

We are designing and implementing a pioneering chatbot using large language models for a pharmaceutical firm. This chatbot will enable document upload interactions and deliver responses in English audio, significantly improving user accessibility and experience.

Palm Classification using Different Computer Vision Models

Successfully developed a palm classification project distinguishing between male and female palms using various computer vision models. Achieved peak accuracy employing Resnet50, showcasing proficiency in model selection and implementation for enhanced classification outcomes.

More projects on Github

I am passionate about addressing business challenges, uncovering hidden insights from data, and making accurate predictions.


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Gandhinagar, Gujarat, India

Linkedin

Binjal Soni

Email Address

binjalsoni1999@gmail.com

Download Resume

resumelink



Have a Question? Click Here