Data Analyst Python

SINDHUSHA REDDY VEMPATI

LinkedIn +1-301-***-**** adfx65@r.postjobfree.com

Data Science enthusiast who excels at analyzing and modeling data sets to enhance business operational performance. Efficient at using Machine Learning algorithms to derive actionable insights. WORK EXPERIENCE

RAPPAHANOCK RAPIDIAN COMMUNITYSERVICES Culpeper, VA Data Science Intern - Capstone Jan 2020 – May 2020

• Utilized the daily living activities scores data and demographic data of the clients to identify the factors affecting Improvement and Level of care Determination.

• Used statistical models such as ANOVA, Chi-Square and IBM SPSS Tool for modelling and analysis. Tools, Languages and Frameworks – Python (Scikit Learn, Pandas, Numpy), R, MS Office, Excel, SPSS Butterfly Edu Fields Hyderabad, India

Data Analyst Oct 2015 – Dec 2016

• Cleansed Data collected from 500+ schools belonging to the hands-on science projects for high school students Python.

• Developed SQL queries to retrieve data that support performance improvement activities and for data visualization.

• Created visually impactful dashboards in Excel and Tableau for data reporting to analyze the performance of these science projects in market.

Tools, Languages and Frameworks – Python (Scikit Learn, Pandas, Numpy), SQL Excel, Tableau Maximind Solutions Hyderabad, India

Data Analyst Jan 2017 – Oct 2018

• Retention Analytics: Performed predictive analysis for a real estate firm to estimate the likelihood of customer renewing the lease and identify key factors that drive the customer towards churn.

• Budget Forecasting: Based on trends and market opportunities, developed forecasting models & product trackers for allocation of a budget of $1.5 billion

• Participated in case studies and took up ad hoc tasks like developing business reports and presentations which are used for board meetings

Tools, Languages and Frameworks – SQL, Tableau, Advanced Excel, MS Office ACADEMIC PROJECTS.

Metadata extraction and analysis of an Airline dataset: Extracted metadata data from a semi-structured dataset belonging to an Airline using Python.

• Performed EDA and developed models such as Decision Trees and Random Forests using Weka to predict the client’s decision in flying with the airline or not after reserving ticket. Customer Retention Analysis: Utilized Customer Data in predicting the response of a customer to a given policy using Binary Logistic Regression, Random Forest, Naïve Bayes algorithms in R. Predictive Analytics: Developed model to correctly classify a tumor as either malignant or benign using diagnostic data using SVM algorithm with a Recall of 94.8% and Accuracy of 98%. Association rules: Synthesized data to recommend how new products should evolve and identify best product mix to improve footfall and revenue using Apriori algorithm.

SKILLS

Programming: Python, R, SQL, VBA, SPSS

Frameworks and Libraries: scikit-learn, pandas, numpy, matplotlib, nltk Visualization and Analytical Tools: Tableau, Power BI, Advanced Excel Functional Skills: Predictive Analysis, Ensemble Methods, Neural Networks, Risk Prediction Analysis, Report generation, Customer Segmentation, Exploratory Data Analysis.

EDUCATION

Master of Science in Data Analytics – George Mason University, Fairfax, VA Jan 2019 – May 2020

• Relevant courses undertaken: Applied Statistics and Visualization for Analytics, Analytics and Decision Analysis, Data Management and Mining, Text Mining using Python, Advanced Database Management, Data Representation, Visualization and Processing, Applied Predictive Analytics.

Bachelor of Technology in Material and Metallurgical Engineering – RGUKT, India Jul 2011 – May 2015

• Relevant courses undertaken: Database Management Systems, Probability & Statistics.

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