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Data Python

Location:
CV Raman Nagar, Karnataka, India
Posted:
June 22, 2020

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Resume:

Vishnu Muraleedharan

MSc (CS) Data Science Analytics

Mob. 858-***-**** E-mail: addzti@r.postjobfree.com OBJECTIVE:

Seeking assignments into Data science, Analytics, Business Intelligence, with a reputed organization

SUMMARY:

A Computer Science post graduate with professional training in Data Science, Business Intelligence and Analytics. Passionate about exploring data and finding pattern to answer key business questions.

Certification in Data Science, BI & Analytics from Introtallent Pvt Ltd, Bangalore.

Proficient with Excel features, functionalities and formulas used for creating MIS, Dashboards, and Reports for Business.

Practical knowledge of Tableau BI and hands-on experience in designing and developing dynamic dashboard using dynamic filters, parameters, LOD expression etc.

Excellent at writing SQL queries, nested queries, grouping, sorting and summarizing data

Proficient with Python scripting, pandas, numpy, scikit learn (sklearn), mlxtend. Clear understanding of Statistics for Data Science, Linear Regression, Logistic Regression, Clustering, Market Basket Analysis etc.

Worked on Reporting, Dash boarding and Visualization Projects as a part of Data Science certification program

Excellent communication skills, both written and verbal. KEY SKILLS:

Data Science & Machine Learning: Linear Regression, Logistic Regression, Decision Tree, Random Forest KNN, K-means, Association Rule Mining

(APRIORI)

Python: numpy, pandas, concat, merge, data preparation, sklearn (SciKit Learn), plotting

MS Excel: Spreadsheet formula (Text Functions, IF, Sumif, Countif, Vlookup, HLookup, Large, Small etc.), Conditional formatting, Pivot table, Slicer, Charts, Data Validation, Logical Functions, Date Functions, Statistical Functions, Data Visualization, Dash boarding, MIS and Report Creation.

Tableau: Data Interpreter, Calculated Fields, Parameters, String Functions, Logical Functions, Number Functions, Filters, Charts, Data Visualization, Data Blending, Dash boarding and Story.

SQL: Create, Drop, Alter table, Select, Group by, Order by, Joins, Sub query, nested query, case etc.

PROJECTS:

BI Analytics Project: Sales Analytics

Tools used: Tableau Business Intelligence and MS Excel Responsibilities:

Created and excel based report to track business performance by region, product, Quarter, month etc.

Used Sumifs, Countifs, Vlookup, Conditional formatting, data validation, charts, pivot table and slicer to prepare the report.

Ideated and identified lag and lead indicators for the business.

Design and develop Tableau BI dashboard to show overall business performance of Global Superstore across geography.

Customized the dashboard as per feedback from the mentor.

Risk Modeling to predict the loan defaulters

Tools used: Python and MS Excel

Responsibilities:

Understanding the business problem of a banking client and defining the optimal solution using CRISP DM framework.

Getting data into Python, performing EDA to understand the data, cleansing the data, missing value treatment, outlier treatment, dummy creation, sampling the training and test data from the master data.

Used Logistic Regression algorithm to predict the customers who are higher risk of defaulting the loan repayment.

Tested the model output with an accuracy of 86.2% (adjusted R squared) CREDENTIALS:

Certificate in Data Science, BI & Analytics from Introtallent, Bangalore

Msc Computer Science, CAS(IHRD), Mavelikara,, University of Kerala

Bsc Computer Science, CAS(IHRD), Karthikapally, University of Kerala E

PERSONAL DETAILS:

Date of Birth : 16-05-1997

Marital Status : Single

Nationality : Indian

Address : 206/2, Mandara, 13th A Cross, Nagawara palya, C V Raman Nagar, Bangalore -93

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