Gowtham Reddy I.
Data Scientist @Tredence Inc.
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WORK HISTORY
Data Scientist @Tredence Inc.
Toronto, ON, CA
EDUCATION
University of Windsor
Master's degree, Computer Engineering, Data Science
Sreenidhi Institute of Science and Technology
Bachelor's degree, Electrical and Electronics Engineering
ABOUT GOWTHAM REDDY I.
I have 4+ years of professional experience in Data Science along with strong mathematical & statistical background. Profound knowledge & experience in developing machine learning predictive models to solve challenging business problems in different domains such as Customer & Merchant experience, Engagement & Growth, Marketing, Advertising, Product, Operations, Web Analytics, WFM, Finance, Supply chain. Technologies & Skills: Programming Languages: Python, SQL, Hive, R Programming, Snowflake SQL, C, Linux, OOPs, Data Structures. Machine Learning: Supervised & Unsupervised learning, Regression, Classification, Clustering, Lasso/Ridge, Decision Trees, SVM, Naïve Bayes, K-NN, Feature Engineering, Dimensionality Reduction, Bagging & Boosting, Ensemble learning- XGBoost, CatBoost, Random Forest, Anomaly Detection, Hyper parameter Tuning, Optimization, Time Series Forecasting-Holt Winters, ARIMA, SARIMAX; Recommendation Systems, Collaborative & Content based filtering, NLP. Causal Inference: Probability, Hypothesis Testing, Statistical A/B Testing, Descriptive & Inferential Statistics, Sampling Techniques. Packages/Libraries: Scikit-learn, Pandas, NumPy, matplotlib, statsmodels, Seaborn, TensorFlow, SciPy, ggplot. Data Platforms: AWS- S3, Sage Maker; Hadoop Ecosystem- HDFS, MapReduce, Hive, Spark; Teradata, SQL Server, ADLS, Snowflake. Technologies: Predictive Modeling, Quantitative analysis, Data Analytics, Prescriptive Analytics, Data Mining, Visualizations & Reporting Business Skills: Marketing, Advertising, Customer & Merchant experience, Engagement & Growth, Operations, Product, WFM, Finance. Tools: Databricks, AWS, Azure, Tableau, Power BI, Teradata, Colab, Jupyter notebook, Spyder, Git, Docker, MS Excel, Agile/Scrum, JIRA.
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