About Me

Data Scientist professional having 8.6 years of IT experience and 4 years as a Data Scientist, including profound expertise and experience on statistical data analysis such as transforming business requirements into analytical models, designing algor...cal data analysis such as transforming business requirements into analytical models, designing algorithms, and strategic solutions that scales across massive volumes of data. Expert in R, Python, SQL, SAS Professional working experience in Machine learning algorithms such as linear regression, Logistic regression, Naive Bayes, Decision Trees, Random Forest, KNN, SVM, Clustering, k-Means, Natural Language Processing. Professional working experience in Natural Language processing algorithms for text classification, sentiment analysis, entity recognition etc for Tokenization, Stop Words, Stemming, Lemmatization, Word2Vec, Count Vectorization, TF, IDF, TF-IDF . Experience using various packages in R and Python like scikit - learn, numpy, pandas, Tensor flow, NLTK, spaCy, ggplot2, caret, dplyr, pROC. Extensive experience in Text analytics, generating data visualization using R, Python. Extensive experience in generating data visualization using Power BI. Experience in writing code in R and Python to manipulate data for data loads, extracts, statistical analysis, modelling. Utilized analytical applications like R and Python to identify trends and relationship between different pieces of data. Skilled in performing data parsing, data manipulation and data preparation with methods including describe data contents, compute descriptive statistics of data, regex, split and combine, Remap, merge, subset, reindex, melt and reshape. Good knowledge in Database Creation and maintenance of physical data models with Oracle and SQL Server databases Proficient in Statistical methods like Regression Models, hypothesis testing, confidence intervals, principal component analysis and dimensionality reduction. Experienced in writing complex SQL Quires like Stored Procedures, triggers, joints, and Sub quires Interpret problems and provides solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics. Working closely with clients, cross-functional teams, research scientists, software developers, and business teams in an Agile/Scrum work environment to drive data model implementations and algorithms into practice. Strong written and oral communication skills for giving presentations to Non-Technical stakeholder