Naman Sharma

Summer Analyst

Interned as a Summer Analyst in the Corporate Payments Team of Intellect Design Arena Ltd. Successfully completed a project to create a complete Business Plan for Payments Product Launch Feasibility in the European Markets. The roles & responsibilities undertaken were:

• Understanding Intellect's proprietary Corporate Payments product for cloud implementation (PaaS Model). Understanding the digital transformation of traditional payment systems and the risks involved with their current usage in the global payments industry.


• Creating a complete business viability plan that includes TAM assessment, pricing strategy, Gap Analysis, and an investment proposal that takes into account the overall project costs, revenue streams, contributions & margins.


• Planning the organizational support structure and preparing the final investment deck for the product's launch in European markets.

Company Information ( Linkedin )

Infocom - Intern

Interned at ONGC - Oil and Natural Gas Corporation, in the Information & Communications (InfoCom) Department for a duration of two months. The training provided a detailed overview of the Satellite Communication Systems, Cyber Security Systems, Networking Structures used in the organization. A comprehensive tour of the organization's Data Center helped me familiarize with the numerous on-going projects, their systems and its functions.

As a part of an assigned project, I designed as well as configured a basic Organizational Network , using the Packet Tracer Network Simulator. All the errors and bugs were debugged under the guidance of my mentor.

Company Information ( Linkedin )

Business Analyst Trainee

Worked under the supervision of project mentor & developed the project entitled “Classify Suspected Infection in Patients". The project was aimed at deriving valuable business insights through analysing various datasets. The tasks performed to successfully execute the project were:

• Loading and combining various datasets for analysis.


• Cleaning and transforming raw dataset to prepare it for data analysis.


• Selecting various data-subsets to analyze, visualise and derive valuable business insights through various data analysis techniques.


• Reporting the business insights in form of a final project report, indicating what data points can be relied upon to accurately classify Suspected Infection in Patients in turn aiding the business growth.

View Completion Certificate  |  Company Information ( Linkedin )

Data Science & Business Analytics Intern

During the course of this Internship, I worked through tasks involving:

• Prediction using Supervised and Unsupervised machine learning models.


• Exploratory Data Analysis on various datasets using MS-Excel and Python.


• Data Visualization through various Dashboards made using Tableau.


• Python Libraries Used: Pandas, NumPy, Scikit-Learn, MatPlotLib, Seaborn

The accomplishment of these tasks helped me broaden my skill sets and introduced me to various new opportunities and applications of Data Analysis and reporting.

View Completion Certificate  |  Company Information ( Linkedin )

Campus Ambassador

Took responsibility as a Campus Ambassador for JobCheck. The tasks of the Live Project included working with social media team to boost the organisation's outreach and awareness amongst the targeted audience. The project included ideation on expansion of the organisation's operations into new markets.

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Covid-19 Dashboard

Global Coronavirus Dashboard, displaying multiple data points such as total deaths, total cases, mortality rate and growth since last month. These data-points are updated regularly through a live database based on google sheets. Data is visualised in the dashboard in the form of Bar Graphs representing - Cases per Country & Deaths per country (Top 10), Line Graph representing - Daily Global Case Count & a World map displaying Cases by Country on the map.
View Dashboard

Exploratory Data Analysis on Indian Cuisine Dataset

The aim of the project was to derive and report valuable insights from a Indian Cuisine Dataset (Consisting of 10+ features) using Exploratory Data Analysis, implemented using Python. EDA was performed to analyze the given dataset, leveraging pyhton visualization tools, summary tables, and hypothesis testing to uncover underlying patterns and structures in the dataset. The data cleaning and transformation steps included identifying outliers, missing data and other data-related issues. These issues were corrected before analyzing the data.

Python Libraries Used: Pandas, NumPy, MatPlotLib & SeaBorn.