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Data Python

Ballwin, MO
April 24, 2020

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Jyothirmayee Kothakota +1-650-***-****


4+ years of academic and professional experience in Data Analytics,Predictive Analytics, Data Visualization and Python Developer.

Skillful in analyzing and interpreting large data sets to provide data directed approaches to accelerate business growth.

Proficient in using Predictive Analytics, Data Mining algorithms, and Cloud-Based Technologies.

Working Experience in Data Modeling, Database Design, ER Models, Relational database, Normalization & SQL.

Extensive experience working with relational databases like SQL, MySQL.

Skillful in using Python libraries Pandas, NumPy, MatPlotLib, Seaborn,Scikit Learn,NLTK,Keras,TensorFlow.

Experienced in using BI visualization tools such as Tableau, Power BI.

Expertise in using statistical models such as Hypothesis Testing, ANOVA, Regression, and A/B Testing.

Hands-on experience in using google analytics for web based or digital marketing analytics.

Experience in Data collection, Visualization, Analysis, Hypothesis Testing, Computational & Quantitative Methods, Linear Regression.

Expertise in using data mining models like Dimension Reduction, Association Rule Mining, Logistic Regression, KNN, Random Forest, SVM, Decision Trees, Clustering, K-Means Techniques.

Hands-on implementation experience in NLP, Document Representation, Text Categorization, Sentiment Analysis, Topic Modeling, Text Visualization.

Practice in Predictive analytics using Forecasting, Autocorrelation, Exponential Smoothing, Regression, ARIMA.

Good Knowledge of deep learning models like DNN, CNN, RNN, LSTM, GAN, Transfer Learning.

Strong skills in Data Analysis, Data Requirement Analysis, and Data Mapping for ETL process.

Strong documentation and analytical skills, strong problem-solving skills.


Data Analytics Database Management Data Mining Predictive Analytics Machine Learning Data Visualization

Business Intelligence Data Warehousing Prescriptive Analytics Sentimental Analysis Statistical Analysis Natural Language Processing Deep Learning Big Data Data Structures & Algorithms CRM – Salesforce


Languages- Python, R, SQL, Spark,C, JAVA.

Tools- Salesforce, AWS, Git,Alteryx

Databases- Oracle, MySQL, Microsoft SQL Server, MS Access.

Visualization- Power BI, Tableau, Excel, Google Sheets, Salesforce Dashboards, Python, R

Machine Learning- Classification, Regression, A/B testing, NLP, Statistical Analysis, Hypothesis Testing, Clustering.

Package Libraries- Pandas, NumPy, Scikit, MatPlotLib, ggplot2, TensorFlow, Keras, Seaborn, NLTK.

Web Frameworks- Rshiny, Flask


Data Science & Analyst TopOPPS, St. Louis. Feb 2020 – Present

Worked on Developing various custom objects using Salesforce for Customer Success.

Used Data Loader to import and export data.

Created and maintained reports and dashboards across business needs and monitored data quality.

Identified & implemented Salesforce best practices to increase business performance relating to efficiency &

improved service.

Used Python Libraries like Flask for web-based dashboard developments.

Developed API’s to create authentication for the web application.

Jr. Python Developer RockLine Solutions Pvt Ltd, Hyderabad, India. Sep 2015 – Nov 2016

Worked on development of customer support and complaint registration system. This is a Customer feedback and

complaint management system.

Designed, developed, tested and maintained data management system website using Python and MySQL.

Validated scripts – sometimes challenging as it demanded many web-based logics rather than correlation and


Used Python Database API's to access database objects.

Wrote python scripts to parse XML documents and load the data in database.

Image Compression Using NN JNTU, Hyderabad, India May 2014 – June 2015

Reduced the amount of internet bandwidth used while loading images using Neural Network.

Used both lossy and lossless compression techniques to score the model

Assisted in architecture development, debugging, and testing. Also Validated data quality before presenting insights.

Involved in data gathering and interacted with users to understand the requirements, Analyzing needs for user



Natural Language Processing – Women’s E-Clothing Review Jan 2020-Present

Developed Text Analytics on Women’s E-Clothing Review using Sentimental Analysis

Used various Machine learning concepts (SVM, Decision Tree, Random Forest, AdaBoost and Naïve Bayes) and

statistical concepts to build the model.

Image Classification using Convolutional Neural Networks

Developed Deep learning model for Histopathologic Cancer Detection.

Created an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans.

Credit Card Fraud Detection Sep 2019 – Dec 2019

Credit Card Fraud Detection using various Machine learning algorithms (Logistic Regression, Decision Tree, KNN) and

Data Wrangling using Python (Libraries like NumPy, Pandas, Scikit Learn, Matplotlib)

Visualization Project

Data Visualization for Disease Transmission Rates in America – Tableau


Data Exploration and Data Wrangling analysis using Spark

Wrote complex queries using Spark SQL and extracted insight. Also Performed Data Mining using Pyspark

and developed reports.

Lab Data Management (web application)

Created a Web Application for Lab Data Management – R Shiny

Developed data visualization dashboards for making business decisions and Tested, maintained the web application.

Image Classification using Convolutional Neural Networks

Developed Deep learning model for Histopathologic Cancer Detection.

Created an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans.

Web Scrapping Jan 2019 – May 2019

Developed a web scrapping project and collected product information using Python

Used libraries Like Beautiful Soap,Requests,XML for extracting the data and parsing the HTML tags.

File Utility

Delivered Summer break challenge of building a File utility for handling data files using Python

Black Friday Sales Prediction

Built the Prediction model (Random Forest, Gradient Boost Algorithms) on the customer purchase behavior of various

multi category products of an organization using Python libraries (Pandas, NumPy, Scikit Learn)

SQL Project

Designed and created a My SQL Database for storing movies data involving data modelling, SQL queries,

Triggers, Functions and generated the reports

Oscar Winners Prediction

Designed a data wrangling project on Oscar winners Dataset and provided the analytics by

summarizing their main characteristics in R


Master of Science in Data Science Maryville University Of Saint Louis, St.Louis, MO Jan 2019 - Present

Bachelor of Technology in Electronics And Communications Engineering India Sep 2011 - June 2015


Tableau Python R Programming

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