Reeshma Kannampurath

*** ***** ****, **********, **, 11742 • 631-***-**** • adg5lg@r.postjobfree.com

LinkedIn: www.linkedin.com/in/reeshma-kannampurath

GitHub: https://github.com/reeshmabijosh

PROFESSIONAL SUMMARY

Aspiring Data Scientist/Data Analyst with a Master’s in Computer Science and a strong engineering and analytical background having technical expertise in data analysis, python, tableau, machine learning, and statistics. Passionate about solving problems by explaining data science to business audiences in detail with accuracy.

TECHNICAL SKILLS

Analytical Tools: SQL, Python, Tableau.

Data Science: Data Wrangling, Exploratory Data Analysis (Pandas, Matplotlib, NumPy, Seaborn), Statistical Modeling, Predictive Analytics, Data Visualization and Feature Engineering.

Machine Learning Techniques: Supervised (Regression and Classification) and Unsupervised (Clustering).

Machine Learning Frameworks: Scikit-learn, TensorFlow

Natural Language Processing: NLTK, spaCy, Genism, Sentiment Analysis, Topic modeling and Text Summarization.

EDUCATION

Data Science Career Track, Springboard, 550 + hours of coursework and hands-on experience in the following areas: Python, SQL, machine learning, inferential statistics, data visualization, data storytelling and natural Language processing.

PROJECTS

Pump it Up: Data Mining the Water Table

Task: Predict which water pumps are faulty? (predict which pumps are functional, which need some repairs, and which do not work at all?)

Created a classification Model using machine learning algorithms, such as KNN, Random Forest, XG Boost, to analyze faulty pumps.

Mining Amazon Product Reviews using NLP

Conducted Sentiment Analysis to understand the sentiment of the review, Topic Modeling to get consumer feedback in the form of topics covered by the reviews, and Text Summarization to quickly extract the summary of the reviews without reading them entirely.

MTech: Computer Science and Engineering, Visvesvaraya Technological University

BTech: Computer Science and Engineering, Cochin University of Science and Technology

EXPERIENCE

Assistant Professor Department of Information Science, Bangalore, India July 2013 – Dec 2016

Conducted lectures and seminars for Data structures and Algorithm, Theory of computation and cloud computing for undergraduate and graduate students.

Designed Lesson plans, Course materials and Lab manuals for all the subjects and Labs handled.

Lecturer Department of Computer Science and Engineering, Kerala, India Aug 2007 – Aug 2010

Conducted lectures and seminars for Software Engineering, Operating systems, Database management systems, Distributed systems for undergraduate students.

Conducted labs for programming C and C++ programming subjects.

VOLUNTEERING

CoronaWhy

Added to CoronaWhy (https://www.coronawhy.org/) Data Lake on Dataverse to keep track of datasets related to COVID-19.

Help people with the maintenance of datasets in Dataverse.

Add the relevant metadata and keeping the datasets up to date.

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