Pavithra C P

PAVITHRA C P DATA SCIENTIST I’m a machine learning and deep learning enthusiast. Interested in Natural Language Processing and Python. Interested to work on cutting edge technology. CONTACT  CAREER OBJECTIVE     To be competitive in my field and learning oriented environment for developing my professional as well as personal skills. -- Trivandrum, Kerala @pavithra  pavithra-c-p  May 2019 - Present  Mirafra Technologies Pvt. Ltd, Bangalore Role: Data Scientist SKILLS Programming Python C C++ MySql Postgres LaTeX ○○○○○ ○○○○○ ○○○○○ ○○○○○ ○○○○○ ○○○○○ Operating Systems Linux Windows ○○○○○ ○○○○○ Software & Tools Data handling/analysis ○○○○○ (e.g. numpy, scipy, pandas, scikit-learn, NLTK) Machine Learning ○○○○○ (e.g. Classifier algorithms, Clustering algorithms) Deep Learning ○○○○○ (e.g. RNN, LSTM, CNN) Visualisation ○○○○○ (e.g. matplotlib, boxplot, ...) IDE ○○○○○ (e.g. Anaconda, Jupyter, Spider) Languages English Malayalam Tamil  WORK HISTORY ○○○○○ ○○○○○ ○○○○○ CERTIFICATES Automated software testing tool selenium Works deal with different machine learning algorithms and Natural Language Processing for problems like Machine Translations, Recommendation systems and Health problems.  EDUCATION  2017 - 2019  KTU, Kerala M.Tech (Computational Linguistics) CGPA: 8.6  2012 - 2016  Calicut university, Kerala B.Tech (Computer Science) CGPA: 8.01  AREAS OF INTEREST Natural Language Processing Machine learning Deep Learning Data Mining  PROFESSIONAL SUMMARY • 2+ Years of hands-on experience in Machine Learning, Natural language processing. • 2+ Years of hands-on experience in tools like Scipy, NLTK, Pandas, Numpy, Spacy. • 2+ Years of experience in Data Analysis and EDA. • 2+ Years of hands-on experience in the language Python(3.x). • 2+ Years of experience in Deep Learning(RNN, LSTM). • Beginner in SPARK.  PROJECTS • Summarizing and Root Cause Analysis of Customer log using ML Domain: Natural Language Processing and Machine Learning Description: Analysing the customer log files and generate summary over large log file. Then predict root cause and detail root cause of the given problem using Machine Learning. Language : Python 3.8 Algorithm used : T-5 Summarizer, SVM, Elmo Embedding, Cosine Similarity Platform : Anaconda, Jupyter Responsibility : Coding, Debugging • Abnormal heartbeat detection to prevent heart problems. Domain : Medical Description : Identifying different datasets for ECG analysis and heart beat feature extraction. Language : Python 3.6 Platform : Anaconda, Jupyter Responsibility : Coding, Debugging • LTV prediction model Domain : Data creation and Machine Learning Description : Building a dataset to predict in-app purchase (IAP) of a user and using Multinomial Logistic regression created a model to predict the same. Language : Python 3.6 Algorithm used : Multinomial Logistic regression Platform : Anaconda, Jupyter Responsibility : Coding, Debugging • Recommendation system using spark Domain : Machine Learning Description : Recommendation system with different product dataset and music dataset using python and spark. Language : Python 3.6 Tools Used : SPARK,sql, git actions Platform : Anaconda, Jupyter Responsibility : Coding, Debugging • Word Sense Disambiguation using word embedding and neural network. Domain : Natural Language Processing Description : Used various techniques to disambiguate the sense of a word in a sentence. Two techniques were explored. One is using embedding and other using neural network. Language : Python 3.6 Tools Used : NLTK Platform : Anaconda, Jupyter Responsibility : Coding, Debugging • Sense Identification for Language Translation Assistant System. Client : Storyweaver (Pratham Books) Domain : Natural Language Processing Description : Identify sense of words in a sentence to disambiguate the meaning of words based on context. Lesk algorithm was implemented and explored more techniques. Language : Python 3.6 Tools Used : NLTK Responsibility : Coding, Debugging • Corpus Creation for Language Translation Assistant System. Client : Storyweaver (Pratham Books) Domain : Stories (Natural Language Processing) Description : For conversion of stories from English to other languages, identify the unique words and phrases from the stories and create a corpus regarding the words as well as with phrases. – Spacy used for all data preprocessing. – Explore pytextrank algorithm for phrase identification from sentences. Language : Python 3.6 Tools Used : NLTK, Spacy, pytextrank, textacy, pandas, Enchant Platform : Anaconda, Jupyter Responsibility : Coding, Debugging • Gender Identification From SMS Text Messages (M.Tech Mini Project) Language: Python Description: The project is mainly based on gender identification from short messages. Through these a comparison study was performed based on two methods : First one is based on n-gram feature and the second method is based on feature extraction technique. Both the technique was analyzed with two classification algorithms: Naive bayes and Support vector machine. • Suspicious Activity Detection Using Machine Learning. (B.Tech Project) Language: c++ Description: The project dealt in the field of Image Processing. The project was to detect any suspicious activities taking place inside an ATM. Detection of using Guns inside the ATM was the primary focus. Also a study on classifier, mainly HAAR and LBP classifiers were done.  PUBLICATIONS Level Sensitive Context Aware Translation Suggestions  Pavithra C P, Supriya Mandal  2021  IEEE 18th India Council International Conference (INDICON)  arXiv An Overview of Relevant Literature on Different Approaches to Word Sense Disambiguation  Pavithra C P, Supriya Mandal  2021  Fourth International Conference on Electrical, Computer and Communication Technologies, IEEE-ICECCT  arXiv Detection and Verification of Rumour in Social Media : A Survey  Pavithra C P, Shibily Joseph  2019  National Conference on ”Innovations in Engineering Technology, IJARCCE  arXiv Deep Learning Approach For Rumour Detection In Twitter : A Comparative Analysis  Pavithra C P, Shibily Joseph  2019  International Conference on Systems, Energy and Environment  arXiv  DECLARATION The above-mentioned information is true to the best of my knowledge and believe that I shall serve your esteemed organization with sincerity. Trivandrum April 4, 2022 Pavithra C P