* Data Scientist with 6 years of experience executing data-driven solutions with adept knowledge on Data Analytics, Text Mining, Machine Learning (ML), Predictive Modelling, and Natural Language Processing (NLP). * Strong background in Machine Learning, Predictive Modeling and Data Mining with a broad understanding of Supervised and Unsupervised learning techniques and algorithms (eg: Regression, k-nn, Randon Forest, SVM, Naïve Bayes, Decision trees, Clustering, etc.) * Highly competent at wide varieties of Data Science programming languages such as Python, R, SQL, Tableau. * Well versed in dealing with Structured and Unstructured data, Time Series, Spatial data and statistical methodologies like Hypothesis Testing, ANOVA, Chi-Square test, and Descriptive statistics. * Adroit at employing various Data Visualization tools like Tableau, PowerBI, Matplotlib, Seaborn, ggplot2, and Plotly. * Processed large data sets in Python with libraries such as NumPy, SciPy and Pandas for data analysis and numerical computations to ready the data for ML algorithms. * Extensive experience in Text Analytics, developing different statistical machine learning, Data Mining solutions to various business problems and generating data visualizations using Python, and Tableau. * Tagging of experience in foundational machine learning models and concepts regression, random forest, boosting. * Have experience in training Artificial Intelligence Chatbots. * Experience in Extracting data for creating Value Added Datasets using Python, R, Azure and SQL to analyze the behavior to target a specific set of customers to obtain hidden insights within the data to effectively implement the project Objectives. * Experience in working with various Python Integrated Development Environments like NetBeans, Jupiter notebook, PyCharm, PyScripter, Spyder, PyStudio, PyDevand Sublime Text. * Extensively worked on statistical analysis tools and adept at writing code in Advanced Excel, MATLAB, and Python. * Implemented numerical Computation with the help of data flow graphs using TensorFlow Machine Learning. * Experienced the full software lifecycle in SDLC, Agile and Scrum methodologies. * Hands on experience in implementing LDA, Naive Bayes and skilled in RandomForests, DecisionTrees, Linear and LogisticRegression, SVM, Clustering, neural networks, Principal Component Analysis and good knowledge of Recommender Systems. machine learning algorithms such as logistic regression, random forest, KNN, SVM, neural network, linear regression, lasso regression and k-means. * Worked and extracted data from various database sources like Oracle, SQL Server, DB2, Teradata and migrated to Data Warehouse and Business Intelligence applications * Skilled in using dplyr and pandas in R and python for performing exploratory data analysis. * Involved in entire data science project life cycle, including Data Acquisition, Data Cleansing, Data Manipulation, Feature Engineering, Modeling, Evaluation, Optimization, Testing and Deployment.

Highlights:

• Management
• Modeling Experience
• NumPy
• Python Programming Language
• Structured Query Language
• Data Analysis
• Data Mining
• Mining
• SciPy
• Tableau