A skilled data analyst with 7+ years of organizational experience in executing data-driven solutions to increase efficiency, accuracy, and profitability. Proficient in predictive modelling, data processing and data mining algorithms, as well as scripting languages, including Python and R – Programming language, Power BI, Sci-kit learn, and SQL. Capable of creating, developing, testing, and deploying highly adaptive diverse services to translate businesses and functional qualifications into substantial deliverables.

Technical Skills:

• Python (6+ Years) • R – (3+ Years) • Power BI (6+ Years) • Google Cloud Analytics - 2+ Years • MySQL (4+ Years) • Tableau – (2+ years) • MS Excel Pivot

Recent Projects

image from Machine Learning--Insurance Prediction

Machine Learning--Insurance Prediction

Read More on GitHub… Our client is an Insurance company that has provided Health Insurance to its customers now they need your help in building a model to predict whether the policyholders (customers) from the past year will also be interested in Vehicle Insurance provided by the company. An insurance policy is an arrangement by which a company undertakes to provide a guarantee of compensation for specified loss, damage, illness, or death in return for the payment of a specified premium.
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image from USA Movie View Analysis

USA Movie View Analysis

Read More on GitHub… USA Movie View Analysis This repo goes along with my video “Solving real world data science tasks with Python BeautifulSoup! In this video we scrape Wikipedia pages to create a dataset on Disney movies. The video is formatted with tasks for you to try to solve on your own throughout. For the best learning experience, at each task you should pause the video, try the task on your own, and then resume when you want to see how I would solve it.
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image from Automobile Customer Analysis

Automobile Customer Analysis

Read More on GitHub… Description: An automobile company has plans to enter new markets with their existing products (P1, P2, P3, P4 and P5). After intensive market research, they’ve deduced that the behavior of new market is similar to their existing market. In their existing market, the sales team has classified all customers into 4 segments (A, B, C, D ). Then, they performed segmented outreach and communication for different segment of customers.
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image from Machine Learning: Fake News Prediction

Machine Learning: Fake News Prediction

Read more on GitHub… In an era where fake WhatsApp forwards and Tweets are capable of influencing naive minds, tools and knowledge have to be put to practical use in not only mitigating the spread of misinformation but also to inform people about the type of news they consume. Development of practical applications for users to gain insight from the articles they consume, fact-checking websites, built-in plugins and article parsers can further be refined, made easier to access, and more importantly, should create more awareness.
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More

Machine Learning: Diabetes Analysis Prediction

Machine Learning: Sentiment Analysis - Customer Reviews

Disney Movie View Analysis

Machine Learning: Diamond Price Prediction in Forex

All Projects