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Social Media Data

Fort Wayne, Indiana, United States
March 07, 2018

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Deependra Singh Jhala

Cell: +* (812)-***-**** Email: LinkedIn GitHub


Data Analyst with 5+ years of experience in collaborating with cross functional teams for data extraction, interpretation and analysis to generate insightful reports for stakeholders concerning product quality and Business KPIs. EDUCATION

Indiana University Bloomington GPA: 3.7/4.00

Master of Science in Data Science


Programming Languages: Python, R.

Databases: - SQL Server, MySQL, PostgreSQL, SAP HANA Tools: - Tableau, R-Studio, Jupyter/Ipython Notebook, Microsoft Excel. Statistics: - Regression, Probability, Confidence Intervals, Hypothesis Testing. Data Science Libraries: - Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, ggplot2, GraphLab. Machine Learning: - Logistic Regression, Random Forest, Support Vector Machine, KNN, Naive Bays, PCA, Gradient Boosting WORK EXPERIENCE- Data Analysis

Quality Associate Analyst SAP Magna-Infotech DEC 2011-JUL 2017

• Extracted, compiled and analyzed data to generate reports concerning functional validation of multiple SAP Products such as: - Financial Services Banking, CRM, ERP, Recycling Administration.

• Used Tableau to create interactive & insightful dashboards for stakeholder concerning key business metrics

(KPIs) such as customer incidents analysis & code coverage of test plans.

• Trained Machine Learning classifier (Python Scikit-Learn) model on dataset of 57k defects raised by SAP customers and testers, in order to predict the defect categorization of issues which test engineers desire to report todevelopment. This resulted in 29% increase in efficiency of multiple quality teams.

• Developed SOAP web-services automation tool using Python & Flask which eliminates the need for manual input and reduced the automation time by 74%.

• Drove SAP Fiori Mobile application quality assurance project activities of the whole team in terms of test plan execution, defect management, reporting to stake holders etc. ADVANCE ANALYTICS PROJECTS- Machine Learning

Social Media Analyzer – Analytics tool which allows users to analyze & compare impact of social media campaigns

• Developed a data visualization tool using Flask (Python Micro-framework), GraphAPI, PostgreSQL & Plotly. This tool uses APIs to collect data from Facebook Pages, Stores data to PostgreSQL & plots performance of Page using insightful graphs. Users can also view their competitor’s social media impact & performance. Credit Card Fraud Detection(Python) – Anonymized credit card transactions labeled as fraudulent or genuine

• Handled highly skewed dataset using under-sampling &re-sampling. Used different classification models- SVM, Logistic Regression, Random Forest. Applied k-fold cross validation for hyperparameter tuning and performance evaluation. House Price Prediction(Python) – Using Advanced Regression Techniques

• Performed insightful data exploration, Missing value imputation, Label Encoding & used Lasso, Ridge, boosting for house price prediction. Evaluated performances of difference models using RMSE. Web Traffic Time Series Forecasting(Python) – Forecast future traffic to Wikipedia pages

• Exploratory Data Analysis of Time Series data. Used ARIMA & Prophet for forecasting traffic & evaluated performance of time series models on validation datasets.

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