Company had pipeline conversion issue. Their leads did not get converted. So their revenue got decreased from 35% to 25%.

· Understand the problem by requirement gathering, collect and clean the data

· Do the hypothesis to find out the reason of the problem then start processing on data, find out the problem using data analytics.

· Analyze the data and find out the KPI and find out the reasons.

· First steps was:- EDA approach

· Data segmentation, data modelling, data analysis and data predictions with classification technique.

· Apply Machine learning approach on Indian data, and find out the sale value of July 2019.

· Find out Budget, Profit margin of the company.

· Make the clusters (K-nn Algorithm) and find out which cluster provide the maximum sale.

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· Data analysis (data cleaning, formatting, Statistical analysis, hypothesis testing, pivot, lookups, charts) of insurance data using excel, find out the insights and data visualization using excel and tableau of the results.

· I have experienced to take the product Requirements(Agile), Generate BRD, FRD, Software deployment (WebSphere), Software development and testing, Feasibility Analysis, Technical Discussions, Application Migration, Code Integration, Production(Delivery Support), UAT.

· I worked on Machine Learning (Regression, Clustering, Classification, Time series predictions) algorithms using Python to solve the business related problems.

Company provides some sample data of Shanghai and Mumbai. Expectation: - Forecast the sale in India using sample data, after applied machine learning approaches on Chinese data. First steps were: - EDA approach Data segmentation, data modelling, data analysis and data predictions with classification technique. Apply Machine learning approach on Indian data and find out the sale value of July 2019. Find out Budget, Profit margin of the company.

Company had pipeline conversion issue. Their leads did not get converted. So, their revenue got decreased from 35% to 25%. Understand the problem by requirement gathering, collect and clean the data Do the hypothesis to find out the reason of the problem then start processing on data, find out the problem using data analytics. Analyze the data and find out the KPI and find out the reasons.

Clean the data using excel and analyze the historical data of bank for customers. Apply filters, formulas, find out-> call timing of customer, which type of customer provided better result in past. Find out combination of customer like- age, marital status, education, start of month, end of month, quarter, call duration of profitable customer, channel, etc. Based on historical data, calculate the maximum profit for term deposit product.

Create database object-oriented designs, and create full application as per client requirement through rapid application development using java 7 as per client requirement. Database development using jdbc connection. Interact with client for requirement gathering, create designs, and developed and deployed the application. Create dashboard and reports; change the design of the application using visual designer. Deployment of application using tomcat on server, environment setup, and deployment of tool on AWS (EC2 service configuration and deployment). I was doing full application and product testing of tool for all features. Database testing of SQL server. Provide rights to users, do the authentication process of user access.

Generate data insights using data analytics using excel and python approach for women related crime in Maharashtra. Data cleaning and EDA process as per requirement. Create dashboard of the results and reports. Apply some machine learning algorithms for predictions and forecasting.