Data Analyst Engineer

Manvitha Ala

Address Nitro, West Virginia, *****

Phone 331-***-****

E-mail ************@*****.***

Education:

Master of Science (Computer Information Technology) Purdue University(Indiana), GPA-3.38 May 2020

Bachelor of Technology (Computer Science and Engineering) JNTUH, India, GPA-3.0 May 2016

To obtain a long-term career as a Data Analyst Engineer that will provide challenging opportunities and has the potential to boost my career growth along with professional development. Looking forward to bringing my skills and contributing to the company.

Around 2 (two) years of IT industry experience with query optimization using SQL.

Experience in Predictive Modeling and Data Visualization using Python and Tableau.

Experienced in business intelligence activities increased due to the production including data mining and analytical processing to identify trends in the data then reporting and charting findings for dissemination within the company; provide ad-hoc reports as requested under the guidance of senior data analysts.

Strong knowledge of Data Warehousing Concepts and Data Modelling Techniques like Dimensional Data Modelling, Star Schema Modelling.

Good knowledge of Normalization /Denormalization and database design methodology.

Strong full stack knowledge and skill full to build the interactive and user websites on scale.

Expertise in large systems architecture development and administration, as well as the configuration of networks.

Skills

C, C++, C#, JAVA, Python, Java Script, Angular, React JS, j query,

Visualization Tools : Tableau 2018, Power BI, Python(Seaborn, Matplotlib), ggplot2,WEKA

MS office suite : Word, Excel, Power Point, Vision, Project, Access

Operating Systems : WINDOWS, LINUX, UNIX

Databases : Oracle 11g, MS SQL Server 2016, MySQL, NOSQL,

Database Skills : Query writing, Data Modelling, SQL Performance tuning

Other Tools : Apache, Visual Studio, Scikit-Learn, Azure, pytorch, panda, Tensor Flow, json/rest

Hardware & Networking, MCSE and CCNA

Basic configuration of routers & switches.

Client-server, Excel, Validation

Hardware, Exchange, Vision

Visual Studio, Data analyst, Power Point, Data mining, Data Modelling, Data Visualization, Data warehouse, NOSQL, ETL, Programming.

Certifications:

1.Microsoft Certified Systems Engineer (MCSE) Cert

2.CompTIA Security

3.Programming Foundations with JavaScript, HTML and CSS

4.Information Security: Context and Introduction

5.Computational Neuroscience

6.NoSQL and DBaaS 101

7.Data Privacy Fundamentals

8.Data Science for Business - Level 1

9.Big Data 101

Work History

Graduate Research Assistant, Data Analyst

Purdue University

Developed and maintained market research libraries and create summaries and recommendations.

Created mechanisms for tracking effectiveness of pricing initiatives by evaluating performance and attrition of all impacted merchants.

Excellent knowledge of relevant programming languages such as SQL and Python.

Utilized quantitative data to answer questions decision-makers have.

Good knowledge of basic statistics, statistical software such as SPSS, and spreadsheet tools such as Excel.

Created Data Visualization, visually compelling charts that will help data readable.

Developed Data Cleaning consists of retrieving data from one source to another, handling missing data and inconsistent data that affect analysis.

Using ETL tools, Collecting and transforming data through data preparation, integration, cloud pipeline designer.

Data Analyst, SQL Developer

AMAZON.COM, Hyderabad, INDIA

Assist in database designing, writing views, stored procedures and query optimization using SQL.

Predictive Modeling and Data Visualization using Python and Tableau.

Departments to establish KPIs and monitor success of new algorithms and products.

Created dashboards based on in-depth weekly, monthly, quarterly and annual metrics reporting of current online traffic, conversion trends and highlights of ongoing marketing campaigns using Tableau.

Collected, consolidate and analyze data/metrics from multiple sources such as site analytics and Store analytics.

Performed statistical analysis including univariate, bivariate and multivariate methods, Logistic regression in Python to analyze company's data and E-commerce website to identify business trends and create visual outputs for business to make decisions.

Responsible for analyzing data and articulate insights as stories, which are then converted into actionable recommendations for business initiatives.

Projects:

Final Project, Team Member

Collected the Data, analyze the data(200 students) and compare it whether it is having impact on the students due to texting language is impacting schoolwork and formal email communication of students using simple java codes and executed in JVM Machine.

Amazon RedShift Project, Team Leader

Developed the AWS Project writing a SQL Query in Red Shift Loading the data by not changing the firewalls.

Allowed us to deploy a scalable data warehouse in a matter minutes and start to analyze data right away using existing business intelligence tools.

Detection of cyber trolls from twitter, Team Leader

Identified the cyber trolls and cyber-bullying comments, Detected the victims who are impacted are teenagers and analyzed it through unsupervised machine learning.

Used algorithms included in WEKA: i) Random Forest, ii) J48 (WEKA's C4.5 implementation), iii) K-Nearest Neighbor (KNN), iv) Sequential Minimal Optimization (SMO) and v) Bayes Theorem-based algorithms.

Secure Web Project, Team Leader

Designed a client-server model to exchange data amongst the two ends in a secure fashion, using secure socket programming or SSL. Developed complexity of their source code, which increases the likelihood of unattended vulnerabilities and malicious code manipulation.

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