Senior Systems Engineer

Dushyant Bhatia

Linkedin.com/in/dushyant-bhatia/ GitHub ****************@*****.*** 480-***-**** E Lemon St, Tempe, AZ, 85281 Summary

Solution-driven analyst with around 3 years of experience in cross-functional teams working on the development, documentation and delivery of process innovations. Currently seeking opportunities to leverage professional and academic experience in the field of Data Analytics to contribute towards fresh, cost-effective solutions and efficient operations. Education

W. P. Carey School of Business at Arizona State University, Tempe, AZ Aug’19- May’20 Master of Science in Business Analytics (STEM), 3.9 GPA Jaypee Institute of Information Technology, Noida, India Jun’12 – Jun’16 Bachelor of Technology in Information Technology

Certifications: Udacity Data Analyst Nanodegree Program (Jul’20) Tableau Certified Analyst (Jun’20) Professional Experience

Senior Systems Engineer Nov’16- Jul’19

Infosys Limited- Telecommunication Client(Telstra) Pune, India

• Part of a cross-cultural agile team working on the Service Fulfillment for a Fortune 500 telecommunication client

• Gathered and understood business requirements from the client, devised business workflows independently

• Took initiative to automate the development of SQL scripts reducing the team’s manual work efforts and time by 25%

• Utilized SOAP Web Services in Java using XML, JSON format for order description in requests, and responses

• Performed cost-benefit analysis using Python libraries to reduce the overhead expenses on the workforce by 5%

• Analyzed 10M+ customers’ data to identify the trends, patterns and potential location for the client’s business expansion

• Documented and reported the quantitative analysis of the metrics and KPIs using Tableau dashboards

• Guided and oversaw the work of 2 recruits within the team and conducted quarterly training workshops

• Awarded as the ‘Most Valuable Player’ during the annual performance review for taking full ownership for the databases management charter of the team

Student Consultant- Fraud Detection- Capstone Project Jan’20- May’20 South Carolina Education Lottery USA

• Leveraged the interactive dashboard in Tableau to identify the outlier patterns in data gaining business insights

• Handled imbalanced data while developing the ML model to detect anomalies and identify the fraudulent cases

• Highlighted high-risk transactions that would reduce the manual efforts, thus saving costs for the business Technical Skills

Programming Languages: Python (numpy, pandas, Scikit-learn), T-SQL, R, Java, REST API, HTML Visualization: Tableau, Python (Matplotlib, Seaborn), PowerBI Software: MS Excel [pivots, vlookup, VBA]), Palisade (@Risk), Minitab, AWS (basic) Machine Learning Algorithms: Linear Regression, Logistic Regression, K-Nearest Neighbor, Decision Tree Learning, Random Forest, Gradient Boosting, K Means Clustering, Neural Networks Techniques: Data Management, Data Mining, Data Visualization, Data Integrity Validation, Predictive Analytics, ML Modeling, Forecasting, Feature Engineering, Social Network Analysis, Statistical Analysis, A/B Testing Analytics/ ML Projects

Predicting Sales Price of a House (Kaggle – Top 10 %) Nov’19

• Developed an ensemble Stack Model (Ridge Regression, Random Forest, GBM) to predict the house’s sale prices

• Performed EDA and feature engineering to generate new features and reduce the feature dimensionality by 15%

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