GOWTHAM KRISHNASWAMY

adgu9k@r.postjobfree.com linkedin.com/in/gowtham-krishnaswamy Edison, NJ

github.com/gowtham-krishnaswamy public.tableau.com/profile/gowtham.krishnaswamy

PROFESSIONAL SUMMARY

Dedicated Data Science graduate with 2 years of experience and keen ability to extract meaning from and interpret data using data science methods to solve business problems. Comprehensive experience in the collection, validation, and analysis of data, proficiency in Python with passion and experience in statistics, data science, statistical languages and machine learning. Demonstrates a leadership strategy characterized by integrity, tenacity, reliability and collaboration. M.S. in Data Science.

SKILLS

Languages Python, SQL, R Programming, C++, Java

Databases Oracle, MySQL, PostgreSQL

Packages Used Scikit-learn, NumPy, Pandas, Keras, TensorFlow, Matplotlib, Seaborn, NLTK, SpaCy, SciPy

Tools used AWS, Tableau, Spark, Git, Databricks, MapReduce, Jupyter Notebook, Microsoft Excel

Certifications AWS Certified Cloud practitioner, AWS Certified Machine Learning speciality

Areas of Interest Machine Learning, Deep Learning, Statistical Analysis, NLP, Predictive Modelling, Computer Vision

EXPERIENCE

Data Scientist Intern Fatou Marketplace New York, NY June 2020 – August 2020

Extracted information from unstructured data using NLP toolkits like NLTK and SpaCy with 90% accuracy.

Designed and developed Machine Learning models using AWS with high efficiency.

Leveraged structured data and unstructured data, accomplished ETL and pre-processing using Python.

Combined various machine learning models through ensemble modelling to increase the overall accuracy of prediction.

Identified data sources and automated data collection using web scraping, visualized data and presented analysis.

Data Analyst University of Denver Denver, CO August 2019 – August 2020

Created reports and dashboards and presented analysis to the Executive Leadership spanning IT, HR and Payroll.

Lead a team and built a time series model (ARIMA) to accurately forecast the future hiring needs with MAE of 11.

Designed and developed more than 15 Visualizations, Dashboards, KPIs and Business Intelligence reports using Tableau.

Gathered, cleaned and analysed large data to ensure accurate visualization and performed EDA using Python and SQL.

Data Analyst Onceptual Business Solutions Coimbatore, IN March 2018 – October 2019

Migrated sales data through ETL pipelines. Created data models and stored the migrated data in Oracle database.

Segmented customers using clustering, identifying order trends, leading to increase in customer activity by 30%.

Leveraged data and performed data analytics to identify peak operational hours, thereby slashing the labor cost by 50%.

Created over 100 SQL queries and reports using Tableau to gain data-driven market insight, increasing in profit by 40%.

EDUCATION

Master of Science in Data Science University of Denver Denver, CO GPA:3.77 August 2018 – August 2020

Relevant Courses: Python, R, Statistics, Data Visualization, Machine Learning, Data Mining, Distributed Computing

Bachelor of Science in Computer Science Anna University Chennai, IN June 2014 – June 2018

Relevant Courses: Python, Artificial Intelligence, Database management systems, Data Structures, Algorithms, Statistics

ACADEMIC PROJECTS

Sensor data processing: Created a solution in AWS platform to collect, store and analyse sensor data. Created backend using AWS Lambda, designed REST API through API Gateway and stored data in a NoSQL database (DynamoDB).

Bacteria case prediction using time series forecasting: Forecasted the number of bacteria cases in Melbourne based on the past 30 years data using Seasonal ARIMA (SARIMAX) time-series model in python with mean absolute error of 198.

Credit Card Fraudulent Transaction using ANN: Designed and developed a deep learning model using Artificial Neural Network in Keras to classify fraudulent transactions in credit card transactions data. Achieved an F1 score of 84%.

Diabetic Retinopathy Detection using Support Vector Machine: Built a machine learning model using k-SVD algorithm for dictionary learning and Support Vector Machine (SVM) to classify diabetic retinopathy in retinal images.

Image classification using Logistic Regression: Accomplished dimensionality reduction and developed a logistic regression model using TensorFlow that classifies a handwritten digit to a numerical value. Achieved an accuracy of 91% on test data.

PUBLICATION

“A Self-Switching Base Vector Selection Mechanism for Differential Mutation of Differential Evolution Algorithm”, Proceedings of ICCSP-2017 – IEEE International Conference on Communication and Signal Proceedings.

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