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Business analyst

California, United States
October 26, 2016

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Manvi Chandra

**** * ******* ****,#**,Alhambra,CA-91803


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Information technology professional with over 3 years of experience. Experience in Business development and analysis. Possess working knowledge of various big data technologies like Hadoop, Map Reduce, Hive and Apache Spark (ML, SQL). Experienced in data analysis and visualization using tools like Tableau, MS Power BI, and MS Excel etc.

Professional Experience

Programmer Analyst (Jan 2012 to Oct 2014) at Cognizant Technology Solutions

Leverage thorough understanding of business process and system processes to make recommendations and propose technical/non-technical solutions to meet business requirements.

Ability to understand technical architecture design of applications and communicate technical options and alternatives to Client Business Customers.

Facilitate business requirements gathering sessions with the business owners and key technical resources.

Document, categorize and prioritize business, user and system requirements.

Experience with Microsoft Office, Business Objects, Excel Cube, Pivot tables, VLOOKUP’s, Hlookups and Access Queries.

Develop SQL based application solutions and enhancements that meet user requirements.

Create, modify and test various SQL queries, stored procedures and views for obtaining data from diverse source systems and platforms.

Follow database development standards for Microsoft enterprise and application databases.

Document the logical and physical components of operational databases and their functionality during the course of their work.

Understand table indexing and query strategies, database objects maintenance and performance issues.

Minimum 3 years designing, developing, and supporting databases (Microsoft SQL Server, T-SQL, SSIS, XML).

Proficient in data visualization using power query, pivot charts, power Maps etc in Microsoft excel, Tableau, Power Bi and Qlik View.

Strong data analytic capability and providing appropriate visual representation of analyzed data.

Proficient in big data technologies like hive, spark (SQL, Ml), Map Reduce etc.

Worked on Cognizant’s in-house first patented Test design product to market and project sales to Customers. There are more than 100 customers who are actively using the product in their testing lifecycle and have realized considerable monetary and effort savings.

Maintained trackers to keep the data for pipeline, sales, and marketing activities in check.

Constantly studied and developed in-depth knowledge of industry trends, product line competition, tech support and service and involved in creating domain solutions for different verticals for the tool to enhance the sales.


Master of Science – Information Systems (2016)

Research Assistant (Sept 2015-Present)–High Performance Information Computing Center ( –California State University, Los Angeles

Program GPA : 3.9/ 4.0

Relevant coursework: Management Information System, Software Engineering, IT Consulting, Big Data and Machine Learning, IT/IS Strategy and Planning, Database Systems.

Associated Projects:

Data Analysis of data related to movies using HIVE and Apache Spark- In this Project we have extracted data related to movies from the . We used the content based filtration technique in order to find the most popular movie. The analysis was carried out using the HiveQL and Spark queries and the output as displayed on a dynamic dashboard using a tool called Tableau.

Data Analysis of stores sales data using HIVE and Apache Spark- In this project, we analyzed the retail store data and what factors would increase their sales on both holiday and non-holiday weeks. We analyzed our data using Hive QL and Spark SQL queries. We used Apriori Algorithm. We created a dynamic dashboard in Power BI to demonstrate our key insights.

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Data Analysis and Prediction of Hydrogen Gas Power Plant Data using Apache spark and Machine learning- Cal State L.A. Hydrogen Research and Fueling Facility data was used in order to predict the vehicle pressure. I created a model using Microsoft machine learning studio which used Decision Forest Regression to predict the vehicle pressure. Once the model was created, the result was verified using Apache Spark.

Git hub Link: -

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Bachelor of Technology-Electronics & Communication (2011)

Program GPA : 3.6/ 4.0

Relevant coursework: Computer Concepts and C Programming, Communication Systems, Computer Networks.

Managerial and Computer Skills

Technical Skills- Hive, Pig, Spark (ML, SQL), Cloud Computing (Databricks CE, MS Azure, IBM Bluemix, Amazon AWS), c,c++,Python,Scala,C#, JavaScript, PHP, HTML, CSS, Share Point server,MySQL.

Communication skills– Good communication skills and ability to arrive at win-win solutions.

Proficient in Business Software – Proficient in MS Word, Access, Publisher, PowerPoint, Excel, Tableau, MS Visio,MS SharePoint,Qlik View,Qlik Sense and MS Power BI.

Adaptable to change, Analytical and able to multitask.

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