Mayur Korde

KultureHire

I have worked on several Projects and I have Provided Actionable Insights on the basis of Data.
Project - 
• Gen-Z Career Aspirations

Tools -
• MS-Excel
• Power BI
• SQL

Business Analyst Intern

The Sparks Foundation

Data Science & Business Analytics Intern

APS Property Solutions Pvt Ltd

•About the Company - 
APS is a leading Real Estate solutions provider offering a wide gamut of services, ranging from highly targeted commercial leasing to asset advisory and management. They specialize in commercial interior works and undertake various construction projects.

•Industry - Real Estate
•Level - Intermediate

• Task - Identify Premium Pricing Attributes For Home Insurance Using R

•Purpose & Problem -
In this menternship, created by real estate consultant company APS India, I have conducted exploratory data analysis using R to identify the attributes of a house and its owner which can effect the price of the house's insurance premium.

•Deliverables -
The insurance industry relies heavily on data science tools to optimize their pricing models. In the insurance business, customers go only for the lowest priced policies - and hence, competitive, data-driving pricing is a must for all insurance companies.

Data Analyst

PortalFrame

•About the Company - 
PortalFrame uses ML-powered solutions to help businesses transform their ROI. Their current mission is to help retailers find the best locations in 50+ Indian cities by triangulating about customers' work, home and socialisation spots. Portal Frame is working on the edge of an emerging tech industry - Data as a Service. The company brings to you a menternship that challenges you to identify the app categories that generate the most revenue on Google Play Store and Apple app store.

•Industry - SAAS
•Level - Intermediate

•Task - Analyze Mobile App Data On Various Platforms And Generate Recommendations Based On The Analysis And Various Metrics Available In The Datasets Using Python

•Purpose & Problem -
Every month approximately 75000 apps are launched on the Play Store. Unsurprisingly, the biggest category is that of games. But, did you know that the second biggest app category is that of Education? There are many interesting insights to be unearthed by exploring the app data that measures performance of apps across categories. These insights can be utilized by technology startups to identify their niche and launch their product.

•Deliverables -
In this menternship, I have identified the attributes that can predict the success of a mobile application on Android and Apple app stores & gave recommendations.
1)Exploratory data analysis report
2)A report on which app profiles are the most profitable in terms of revenue from Ads across both platforms (iOS and Android)

Danube Home International

•About the Company - 
Danube Home is a leading furniture retailer in Hyderabad. They offer over 25000 essential products across several furniture categories. The store has been in operation since 1993 and are one of the few furniture retailers in the country who provide their customers with a free interior design consultation.

•Industry - Retail
•Level - Intermediate
•Data Analysis & Visualization

•Task - Analysis Of Sales Data Of Retail Stores Across America Using Exploratory Data Analysis And Data Visualisation

•Purpose & Problem -
Priced at $21 billion India's furniture retail industry is slated to grow by 12% in the five years. Currently the industry is dominated by a few major retailers, but armed with the right model for tracking sales and profits across various geographies would give a furniture retailer the edge they require to strategize for a bigger share of the national market.

•Deliverables -
In this menternship, I have worked with the sales data of retail stores across America, I have done Data Analysis using SQL & I have developed a dashboard comparing sales vs profit for multiple product categories across geographies & successfully completed the assigned task.

Avetti Commerce

•About the Company -
Avetti commerce designs online marketplaces for companies based on their needs and budget. From B2B to D2C and everything in between, they have the right solution for you! With the globalisation of marketplaces, e-commerce platforms have the potential to transform a business's profitability. Avetti Commerce helps companies realise their digital transformation goals with their comprehensive and flexible online marketplace designs.

•Industry - E-commerce
•Level - Intermediate
•Model Formulation

•Task - Built a Predictive Model For Employee Attrition using Python.

•Purpose & Problem -
In order to retain their employees, companies have to go above and beyond to meet their needs and expectations. Staying on top of the employee sentiment and addressing it can be a challenging task for the HR team. HR analytics or people analytics makes this simpler and far more efficient than ever before. This helps track employee behaviour and identify trends in the same. This way, HR can make an engagement plan that not only satisfies the employees but delights them!

•Deliverables -
In this Internship, I have been assigned with the task to create a machine learning model that takes attrition data of a global technology firm and predicts attrition in the future & I have successfully completed the task.

Data Scientist

Arka Mediaworks P Ltd

•About the Company -
Arka Mediaworks pushes the boundaries of commercial cinema by taking on projects that are breathtaking in their scale and potential. This production house has made films and television shows in six Indian languages and has production centres in four major hubs of movie production.

•Industry - Entertainment & Media
•Level - Advanced
•Model Formulation

•Task - Built a Content Based Recommender System to Recommend Movies using Open source Data in Python.

•Purpose & Problem - 
Arka Mediaworks released its Telugu film Uma Maheswara Urga Roopasya on Netflix in 2020, which ranked in Netflix’s India's Top 10 list. With over 500 new titles added to the banks of OTT platforms like Netflix, Amazon Prime and Hotstar every year - it is vital for a production house to acquire data-based insight into the viewing preferences of its audience and create films that will remain popular for a long time. Data scientists can predict these viewing preferences by investigating the viewing history of millions of users and analysing the artistic attributes of the most-liked films.

•Deliverables - 
During this Internship, I have been tasked with creating a movie recommender system using Content, Collaborative, Popularity and Hybrid filtering techniques on Python & I have successfully completed all the tasks.

Data Scientist • Intern at KultureHire

•Skilled & Dynamic Professional, Can Think Statistically & Competent in Handling Large Data.
•Good at Mathematics, Statistics & a Certified Data Science Expert.
•Enjoys Learning Trending Skills & Technology. 
•Done Self-Projects & Case Studies Which Has been Uploaded on GitHub & Link is Available Under Websites.

•A Good Team Player, Capable of Working Under Pressure & Can Understand Complex Concepts with Clarity.
•Positive Outlook, A Problem – Solver, Has Abilities to Provide Data Insights, Provide & Suggest Solutions.  

•Please reach me at -
•kordemayur816@gmail.com
•9561418875

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