Sai Suraj Argula

About Sai Suraj Argula

Graduate student with 3 years of Experience in Data Analytics. My desire for logical thinking and curiosity to find solutions has motivated me to pursue a career in Data Science and Analytics. I am an aspiring data scientist who enjoys connecting the dots: be it ideas from different disciplines, people from different teams, or applications from different industries. I have strong technical skills and an academic background in engineering, statistics, and machine learning.My passion lies in solving business problems with tailored data and algorithms, communicating complex ideas to non-technical stakeholders. I am able to jump across verticals to deliver high-performing AI solutions.I am a continuous learner, always pushing my boundaries to learn more. Passionate about technological reforms AI bringing upon and want to be a part of it. I am graduating in May 2021, interested in full-time roles in data science. I love making professional acquaintances. Please feel free to reach me out at :s••••••••@gmail.com81••••••15Overview of Skills• Programming Languages – Python, R, SQL, C#, SAS • Object-oriented Programming (oops) & Data Structures and Algorithms• Data Visualization and Business Intelligence Tools (Power BI, Tableau)• Data Analytics and Statistical Data Mining, Data Science• Machine Learning - Regression, Classification, Clustering, Ensembles, Recommender systems, Dimensionality reduction, Artificial Neural Networks, Time Series Forecasting• Deep Learning - CNN, RNN, LSTM• Statistical Modelling – Descriptive & Inferential Statistics-Hypothesis Testing, ANOVA, GLM Regression Models, Logistic regression, Time series, A/B testing, predictive modeling, simulation, Probability theory• Databases – SQL, Oracle DB, IBM DB2, MSSQL Server, NoSQL (Cassandra, MongoDB)• ETL- Informatica• Full Stack development - ASP.net• Web Scraping • Other Tools – Git/GitHub, AZURE ML SAS Enterprise Miner, Rapid Miner.• Applied Text Mining, Text Analytics - NLP• Big data Ecosystem and Analytical tools - Hadoop MapReduce, Spark ML, Spark SQL, HBase, Hive, Impala, LINUX• Cloud technologies – AWS (EC2, S3, Redshift,), Azure• Python and R libraries - Pandas, NumPy, Keras, Tensorflow, Flask, NLTK, Spacy, Sci-kit learn, ggplot2Domain Knowledge of Insurance, Healthcare, Banking, and Finance.

Experience

1. Analytics Engineer

   Treasure AI

   Feb 2022 — Present · Tampa, FL, US

Education

• VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)

  Bachelor’s Degree, Mechanical Engineering

  2011 — 2015

• University of South Florida Muma College of Business

  Master's degree, Business Analytics and Information systems

  2019 — 2021