Python, SQL

KANDAVALLI MANOJ

Email Id: ***************@*****.***

Mobile number: 889-***-****

Objective:

To become a professional business analyst, where my knowledge and skills can be challenged and

meticulously applied to meet and exceed organizational targets.

Academic Qualifications:

Masters of Business Administration (FinTech) GITAM University

Visakhapatnam. (June 2018-June 2020)

Bachelors of Technology

KLUniversity

Vijayawada. (June 2013-April 2017)

Internship:

Teck Team Solutions, Vizag “Developed a CEO dashboard using Tableau” (May 2019 -June 2019)

Research on the company’s performance and Identify the metrics and KPIs of the company and looking at their business opportunities in the market. Analyzing the company’s financial data to create a CEO dashboard using Tableau.

“Observations of different processes in Steel Making, RINL, Vizag” (May 2015-June 2017)

Learned about the processes involved in manufacturing of steel from raw material, the processes like raw material handling, coke preparation, sintering process, working of blast furnace, working of basic oxygen furnace, Rolling mills. Also Knowledge about maintenance and spares in Steel making.

Projects:

Mergers and Acquisitions of Pharmaceutical Industry. (October 2019-December 2019)

The primary focus is to review the trends of Mergers and Acquisitions in the light of pharmaceutical industry and also aims to examine the impact of Mergers and Acquisitions on the financial performance of the companies involved in Mergers and Acquisitions in pharmaceutical industry.

Technical and Fundamental Analysis on NOVARTIS. (January 2019-March 2019)

Analysed securities and identified investment decisions of NOVARTIS using Technical analysis and Fundamental analysis. Focused on patterns of price movements, trading signals and various other analytical charting tools to evaluate a security’s strength or weakness and indicating whether the security is undervalued or overvalued by examining related economic and financial factors.

A Study on time series with ARIMA model (September 2018- November 2018)

Identifying the underlying structure of the time series and fitting an Autoregressive Integrated Moving Average (ARIMA) Model on IMPORTS dataset through Airports and seaports. This study demonstrates how ARIMA time series and Regression models are useful to study and forecast Cost, Insurance and freight (CIF) for imports.

Facial Key point detection using Neural Networks (Oct 2018 - Dec 2018)

Predicting key point positions on face images. It is used as a building block in several applications, such as Tracking faces in image, Analyzing facial expressions, Face recognition. t. In deep learning, a convolutional neural network is a class of deep neural networks, most commonly applied to analyzing visual imagery. CNNs use a variation of multilayer perceptron's designed to require minimal preprocessing.

Skills:

TABLEAU

Python

SQL

Microsoft EXCEL

Extra CurricularActivities:

Participated in Singapore FinTech Festival. (November 2018)

Volunteered Vizag FinTech Festival. (October 2018)

Worked as Fabricator and Welding Engineer for Team Infuria racing, ISIE competition. (August 2016)

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