Shivgan J

Data Science Tutor New York SQL VBA Python Blockchain in New York

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Tutor in New York City

Tutoring Data Science on Python / R, Data Analytics has been my hobby and recreational activity. Many tutoring projects are volunteering and networking oriented in New York / Manhattan. Developed various passive course in Data Analytics and have connections and linkages to a good network (with tutors) in USA and India for best outcome to global learners. Our training theme is centered around projects, for example, your portfolio or even themes you are doing at work. This is very different from the repetitive courses given by other tutors with a fixed syllabus. The outcome of such engagement is a product you can use. I connect you to the right tutors in NYC, just after you job for an hour, with the right content (so that your exhausted mind can grasp stuff), supported by an offshore team. I am an Electrical Engineering graduate, GAARP-FRM certified, PG Dip in Fin analysis and Risk Management, PG Diploma in IT, cleared CFA L1, International - MBA (15-16). Courses that I learned during schooling (in 2011) include Financial Modeling using Excel, CFA L1 and L2, VBA for Financial Modeling, Excel for Equity modeling, Excel for Risk Management, other subjects. In engineering I did my thesis on "Risk modeling on MATLAB for design". I have learned most of the things with my experience during jobs with Bank and during tutoring for different companies. I posses good balance of academics, profession and modeling and a very chilled and easy going person. EXPERIENCE I have experience of tutoring Analytics using SQL, Excel, VBA, Python, R and matlab for Financial, risk, trading, and other applications. matlab for Finance has been by flagship course with the last organization. Earlier in my career I have worked and also developed several passive recorded courses in analytics. I have developed courses on Excel optimization to make Excel programming more robust and make excel do the best for you. Five year of Tutoring experience with various organizations. Have learned who learned Analytics from various banks and companies. My online courses on Wiziq had several hundred registrants. My extensive experience from banks and tutoring helps me to tutor programming in a very relaxing and exciting manner. VBA Python R Excel SAS SQL using learning from both worlds. Quant Finance, CFA Quant, FRM Qannt courses taught with the help of Excel. Have a satellite team based out of India to support your questions that I might not be able to answer. Subject areas I teach includes: Quantitative Methods for GRE / SAT / GMAT, CFA L1, FRM L1, matlab/R/SPSS for Quant, Excel-VBA Programming, Quantitiative and Analytics Excel programming & VBA programming. Sub topics: Basics of Excel: Vlookups, Hlookups, Index Match, Dependents, Data tables (1 way and 2 ways), Pivots, Charting, Filters, SQL integration, VBA coding, Address and indirect, Offset, Array functions, etc. Applications: Regression, Histograms, Monte carlo simulation, rank correlation, dashboards, more. Automation using VBA: Loops (for, do while, case), Recorder, Arrays and Matrices, if else, indexing, etc. Machine Learning vs Statistical Modeling & Supervised vs Unsupervised Learning Machine Learning Languages, Types, and Examples Machine Learning vs Statistical Modelling Supervised vs Unsupervised Learning Supervised Learning Classification Unsupervised Learning Supervised Learning I K-Nearest Neighbors Decision Trees Random Forests Reliability of Random Forests Advantages & Disadvantages of Decision Trees Module 3 Supervised Learning II Regression Algorithms Model Evaluation Model Evaluation: Overfitting & Underfitting Understanding Different Evaluation Models Module 4 Unsupervised Learning K-Means Clustering plus Advantages & Disadvantages Hierarchical Clustering plus Advantages & Disadvantages Measuring the Distances Between Clusters Single Linkage Clustering Measuring the Distances Between Clusters Algorithms for Hierarchy Clustering Density-Based Clustering Dimensionality Reduction & Collaborative Filtering Dimensionality Reduction: Feature Extraction & Selection Collaborative Filtering & Its Challenges

Tutor Details

Email Address Confirmed
Phone Number 929-356-... Confirmed
Years of Experience 6
Provider Type Individuals


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richa j

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