PRACHI RATNAPPAGOL
London
Summary
Seeking an entry-level data scientist position. Strong foundation in statistical and machine learning techniques, with a keen interest in data directed field. Dedicated to using data-driven insights to solve complex problems and drive business growth.
Overview
2
2
years of professional experience
1
1
year of post-secondary education
Work History
Website Designer
Bricklane Coffee Shop
London
06.2022 - Current
- Created models and prototypes for pre-implementation testing.
- Adapted designs to suit diverse browser and device requirements.
- Evaluated user experience data to enhance current and future products.
- Enhanced design validation processes through strategic testing.
- Collaborated with planning and development to aid product evolution.
Student Learning Assistant
Queen Mary University of London
London, England
09.2021 - 03.2022
- Met with group of up to 17 individuals to oversee Practical and laboratory activities
- Taught skills SQL, Python and Visualization tools via both lab and individual instruction.
- Developed and led special events that increased programming skills and communicate with confidence.
- Offered counseling to help students deal with academic, personal, or behavioral issues.
Education
MSc Big Data Science - Data Science
09.2021 - 09.2022
Key Modules: Data Mining, Applied Statistics, Principles of Machine Learning, Natural Language Processing (NLP), Big Data Processing (Hadoop, Spark, Scala), Cloud Computing, Information retrieval, Neural Networks and Deep Learning.
Skills
- Proficient in statistical analysis, predictive modelling, and machine learning algorithms
- Strong programming skills in Python and R, with knowledge in data manipulation and visualization
- Knowledge of SQL and experience working with relational database
- Familiar with tools and libraries such as TensorFlow, scikit-learn, and pandas
- Understanding of data pre-processing techniques and feature engineering
- Excellent problem-solving abilities and a logical approach to data analysis
- Ability to communicate present complex findings in a clear and concise manner
Accomplishments
Academic Project:
Movie Recommendations Using Sentiment Analysis | Individual project
Developed a Movie recommendation system to predict ratings or preferences of a movie. Provided a total of ten movie recommendations to users based on similar traits/demographics of the movie that has been searched. Additionally, movie details include the movie rating, its release date, cast, genres, and casts information. Use of content-based filtering and sentiment analysis is done.
Document Creation Application | Group Project
Developed statistical analysis skills with completion of course project on REST APIs and built a prototype on Cloud application along with a group of four. Created REST APIs that will handle requests and return a response.
Face Recognition based Door Monitoring system | Group Project
Certified at International Conference on “Recent Trends in Computer Science and Information technology” (ICRCSIT - 20). Proposed the development of smart home security system using Raspberry pi and face recognition techniques that permit or restrict the entry of the person who is trying to enter the home.
Interests
- Freelancing : Providing Custom Website Design Solutions for Discerning Clients | Website
- Practices Yoga
References
Name and email-id on request
Timeline
Website Designer - Bricklane Coffee Shop
06.2022 - Current
Student Learning Assistant - Queen Mary University of London
09.2021 - 03.2022
Queen Mary University of London - MSc Big Data Science, Data Science
09.2021 - 09.2022
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