Hello I'm
Hello I'm
Ruchita Shaha
Artificial Intelligence and Machine Learning Graduate; Enthusiatic and ambitious learner, focused on providing exquisite results
About me
I am a Final-year Artificial Intelligence and Machine Learning student.A strong interest in the field of Data Science and Natural Language Processing developed in me, with the immensly growing technological enhancements.
Recently I have worked as a Machine Learning Programmer for a Hyderabad based IT System Data Services startup, concentrating on Computer Vision domain, and worked specifically on the Facial Recognition Technology. I have implemented Deep Learning models and certain metrics for validation enhancement. I am well-versed with prominent Python libraries such as - OpenCV, scikit-learn, SciPy, TensorFlow, plotly , and many more.
Grasping new methodologies and experimenting them is where I believe the growth lies in.
Moreover, I am a person who is committed to personal and professional development.
Work Experience
Machine Learning Programmer, Hyderabad, Telangana
Jan 2023 - May 2023
In my professional journey, I received the opportunity to showcase my skills in the Computer Vision domain, where facial expressions of the Cattle Images were analyzed to classify as per the Dairy Industry requirement . Highlighting the tools, I majorly used NumPy, OpenCV, Pillow, SciPy, tensorflow and few other libraries. This allowed me to deep dive into the complexity of image analysis and contribute towards better insights. The major tasks I performed included Batch Segmentation,Grayscale Image Classification using appropriate DL models such as Sequential Model, PointRend Resnet 50 and metrics such as SSIM, Euclidean Distance.
Projects
Food Ordering App
- Implemented secure Register/Login process for Admin and User with Regex verification and enabling Admin to manage the food items
- Browsing the menu, users can place order, get order history, update profile; menu has ID, name, quantity, price, discount, stock
Movie Ticket Booking System
Python Modular Functions
- Enhanced the features to display and book seats, get ticket statistics, fetch the user details along with dynamic pricing using theatre seat availability
Customer Default Prediction
- Applied KNN, SVM, Decision Tree models, and achieved an accuracy of 76% with SVM, while 73% with KNN and Decision Tree models in the customer default prediction process
Concrete Strength Prediction
- Attained accuracy of 90% via Random Forest Regressor and 89% via Gradient Boost Algorithm to predict the strength of concrete
Text Summarization
- Implemented Extractive Text Summarization approach using NLTK, and the heapq data structure over a paragraphed input
- Demonstrated Abstractive Text Summarization approach using PageRank and Cosine Distance metric to reveal word relevance
Certifications
Python Certification Exam
On completion of 8 weeks Python module, comprising of OOPs, Regular Expressions, Data Structures, and few more; successfully completed the Python Certification Exam.
Data Scientist Certified
Attended the Data Science sessions for 2 months and then worked on 2 Capstone projects
Blockchain TechnologyWorkshop
Completed 2 days Hands-on workshop on Blockchain Technology held in March 2022 at Sanjay Ghodawat University, under Data Science Analytics and Cybersecurity (DSAC) Club by Ureka Foundation, UK.
Skills and Relevant Courses
Machine Learning
Natural Language Processing
Computer Vision
Data Science
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C++
Python
R
SQL
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Advanced Statistics
Probability
Calculus
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Object Oriented Programming
Compiler Design
Big Data Analytics