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Data Analyst, Software Developer, skills- SQL,Tableau,Python, ML

Bangalore, Karnataka, India
December 21, 2019

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Seeking to engage in analysis of business data using SQL in a fast paced environment and report findings especially in the area of business operation, data quality and using data visualization. Skill to create visually appealing dashboard and employing analytical skills to provide business insights for effective decision making. Experience Specifics:

Worked at Infosys as Data Analyst from Oct 2017 till March 2018

Freelancer as Software Developer from Dec 2016 to May 2017

Worked as Assistant Professor in MIC College of Engineering and Technology from July 2013 to Dec 2014 Professional Summary:

Data Analyst at ExxonMobil (Oct 2017 – March 2018) Department: Chemicals

Worked in analysis, design, development and implementation of Business Intelligence solutions using Tableau Desktop and Server.

Experienced in creating advanced chart types like scatter plots, Donut charts, Bubble charts, Histograms, Tree maps, bar charts etc.

Worked with Normal Filters, Quick Filters, Cascading Filters, Global Filters, Context Filters, Data source Filters and User Filters.

Used Trend lines and Reference lines to describe the data effectively.

Implemented advanced geographic mapping techniques and used custom images and geo coding to build spatial visualizations of non geographic data.

Designed and developed reports with Drill down, Drill through and drop down menu options and parameterized reports using Tableau.

Experience in creating Groups, Sets, Bins and Parameters. Freelancer (Confidential) (Dec 2016 – May 2017)

Research and analysis of customer data for segmentation

Preparing charts on Excel and PowerPoint to communicate analysis and findings to management

Updating missing and incorrect fields of accounts for the purpose of standardization RAMYA SRI SAI CH

Bangalore, India


Mobile: +91-809*******

Perusing PG Diploma in Data Science - IIIT-B

M.Tech in Machine Design

Preparing pivot tables and spreadsheets for analysis of findings on a routine basis.

Writing SQL queries for data validation and consistency.

Designing Tableau dashboard to provide visualizations to support decision-making.

End-to-end designing and deploying data visualizations using Tableau and SQL.

Implemented Data Blending concepts in Tableau Dashboard. Assistance Professor (July 2013 to Dec 2014)

Department : Mechanical

Maintains students database

collect and analyze students data like attendance and examination results by web scrapping and analyzing the results in excel and submitting the reports.

Guide, direct and mentor research scholars in their research projects. Assess, supervise and mentor the academic progress in students.

Create, innovate and implement some activities and programs that help in career-enhancement. Manage and support all the teaching assistants.


Published a journal in “International Research Journal of Engineering and Technology (IRJET)” Volume 3, Issue 1 January 2016.e-ISSN: 2395-0056 p-ISSN: 2395-0072 on Multi Response Optimization of Aluminum alloy using GRA and PCA by employing Taguchi Method. Educational Qualifications:


School/College or


Specialization Year of Passing

Percentage of

marks Obtained

PG Diploma


Institute of




Data Science 2019 3.55/4


Jawaharlal Nehru


University, Kakinada

Machine Design 2016




Jawaharlal Nehru


University, Kakinada







Sri Chaithanya

women’s College

M.P.C 2009 81.40


Atkinson Higher Sec.


- 2007 76.1

Technical Skills:

Visualization Tool : Tableau Desktop & Server, EXCEL. Other Tools : AutoCAD, Pro-E, Solidworks, Cam.

Programming Skills : SQL/Python

Application : Machine Learning.

IIIT PG-Diploma Data Science projects

Developed an interesting insights from given IMDB movie data using python libraries Numpy and pandas.

Implemented Business strategies to advice an financial company to identify best sectors, fund type for making investments using python libraries Numpy, Pandas, Seaborn and matplotlib.

Identified patterns using EDA (Exploratory Data analysis) and provided suggestions to overcome the given ber business problem applying python libraries matplotlib, seaborn and presenting in Tableau.

Developed a model in identifying the critical features which predicts the car price for a car manufacturing industry by using python libraries, liner regression,RFE and residual analysis.

Deployed Machine learning algorithms like clustering, PCA(Principal Component Analysis)to help in identifying the direst need of aid countries for releasing the appropriate funds. Personal Profile:

Name : Ramya Sri Sai Chintala

DOB : 17th Apr 1992

Gender /Marital Status : female/Married

Nationality : Indian

Languages known : English, Hindi and Telugu

Permanent Address : Whitefield, Bangalore

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