Rajeev Tripathi Email and Phone Number

An Enthusiastic Data analyst and model predictor who has a strong interest in the data field. A lifetime learner, good observant who has excellent analytical and visualizing skills.Hands-on experience in Machine learning, MS SQL, Power BI, Excel, Visualization, ETL, and Dashboard Creation.Detailed information about my expertise-◻ SQL-HackerRank has awarded me 5-star ranking for SQL. I have practiced more than 100 SQL queries on w3school, sqlbolt, sqlzoo, and datalemur. Solved basic to advanced queries using Joins, CTE, and Subqueries.◻ Data Visualization-Understanding business requirements, analyzing the data, identifying key performance indicators (KPIs) and present it using effective visuals. Knowledge of pandas matplotlib and seaborn library for different data visualization. Received the certification on Data Visualization: Intellipaat.◻ Excel-During my virtual internship at Intellipaat, assessed the data quality, and cleaned and transformed the data in Excel. Also familiar with pivot tables, VLOOKUP, conditional formatting, chart visuals, and use basic formulas like- sum, average, etc.◻ Power BI-Created more than 10 dashboards that provide meaningful insights for business growth. Hands-on experience in power query, interactive visual reports, ETL, and DAX. Intellipaat certification of analyzing and visualizing data with Microsoft Power BI.◻ Python -In python, have knowledge of Basic Python and different concepts that are useful for machine learning prediction and data analysis purposes with the help of different modules and libraries such as NumPy, Pandas, Matplotlib, and Seaborn for Data Visualisation and Exploratory Data Analysis.◻ Machine Learning & Statistics:Done different projects on supervised, and unsupervised learning algorithms by implementing different learning models like Linear Regression, Logistic, Decision Tree, Random Forest, KMeans, SVM, KNN, Naive Bayes, OLS, etc.Implemented different Hypothesis Testing – Z-Test, T-Test, Anova-test, Chi-Square test, etc. and knowledge of concepts like descriptive and inferential statistics, CLT theorem, Different sampling techniques, etc. related to machine learning concepts.◻ Presentation Skills-I can provide insights to the stakeholders and top-level management by thoroughly understanding the business requirements by compiling the whole work on Microsoft PowerPoint.