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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE (Street Address )-417-5280 http://LINKEDIN LINK AVAILABLE EDUCATIONThe University of Texas at Arlington, Arlington August Street Address - Present Master of Science in Business Analytics (Specialization: Data Science) CGPA 3.6/4.0 Relevant Coursework: Python, Databases, Timeseries Forecasting, Machine Learning, Data Mining Algorithms, Data Warehouses. Bhoj Reddy Engineering College (JNTUH), Hyderabad, India October 2012 - June 2016 Bachelor of Technology in Information Technology GPA: 8.2/10 Relevant Coursework: Object Oriented Programming, Databases, Discrete Math, Data Structures and Algorithms, Operating Systems, Computer Networks, Python and Scripting Languages.SKILLS Languages - Python, SQL, Alteryx, Java, ABAP. Tools- Tableau Desktop, Tableau Public, R, Git, Spark. Cloud Services - Microsoft Azure Services - Azure Data Lake, Azure Databricks, Azure Data Factory, Azure, SQL, Google Cloud Services Big Data, Compute, Storage & Databases. Machine Learning Algorithms - Linear Regression, Logistic Regression. SVM, K-Means, Random Forest, LSTM, CNN, RNN, Deep Neural Networks, Ensemble Learning, XG Boost.PROFESSIONAL EXPERIENCEHoneywell InternationalAnalytics Specialist, PMT, and HPS Team September 2021 - July 2023 Engineered a production-ready Tableau dashboard by analyzing unstructured data incorporating Salesforce reports to build customer behavior models; driving a 34% revenue growth; implemented mobile dashboards to inform data-driven sales strategy to the 150+ sales management. Conducted strategized tests and Restructured channel partner's university analytics framework, trimming inefficiencies by 50% and boosting HR data accuracy by 70% utilizing Tableau, Alteryx, and Excel, leading to more informed decision-making. DXC Technologies (Hewlett Packard Enterprise) November 2016 - September 2021 Data Analyst, GSCS SUPPLY CHAIN Team Developed domains, data elements, views, tables, and structures after extracting data by optimizing SQL queries by 30%. Designed and participated in collecting and solving functional specifications of Invoice creation in the Order Management team comprising 20+ supply chain pipelines to a huge impact of $ 5 million. Maintained nearly 100 PDAPI Jobs where certain output-type upgrades were required to revamp the performance at the Fusion end. Spearheaded a performance-sensitive outlier detection system to display multidimensional inventory exhaustively. Title: DASHBOARD PROJECT December 2016 - April 2017 Expedited migration of GSCS supply chain process integrating OTI Dashboard KPIs (key performance indicators) relevant to a business objective. Formulated and devised the detailed User interface of the GSCS supply chain OTI Dashboard including UI/UX and AngularJS including Customer Analysis, Design Research, Branding and Graphic Development, and User Guides/Storyline. ACADEMIC PROJECTS April 2024 - May 2024Title: Credit Card Churn Prediction Using Artificial Neural Network (ANN) Model Achieved an accuracy of 78.7% and a ROC AUC score of 85% in predicting customer churn. Identified key factors contributing to customer churn, enabling the company to target high-risk customers with retention strategies. Reduced customer churn rate by 20% through targeted marketing and personalized customer service interventions based on any models predictions. Tools Used: Python. Title: BANK MARKETING Led a 5-member team of MSBA major students to present a project presentation on key indications of customer patterns; devised pattern recommendations for using data analytics to maximize term deposits for 2 banks. Created a personalized customer pattern prediction model ply random stratified sampling, random under-sampling addressing the class imbalance, and implementing machine learning models into 10 iterations with hyperparameter tuning to predict customer patterns subscribing to a term deposit based on customer response to multiple strategized campaigns. Tools Used: Python, Tableau. Title: UBER DATA ANALYSIS Forecasted Uber Prediction for next year in all states with Auto Regressive Moving Averages (ARIMA) and dynamic regression model to detect price trends. Tools Used: R.Title: DELTA++, IMEI Tracer August 2015 - Feb 2016 The Delta encoding-based technique, incorporating Delta++ strategies to reduce update traffic by transferring only changes (or) patches between two versions of an application. IMEI is a unique 15-digit code authorized by GSMA, an identity certificate for any phone. Providing security was the main agenda of application. Integrated users to add email accounts of guardians and owners will get the IMEI number when any phone is switched off and then on. Tools Used: Java. ACTIVITIES AND ACHIEVEMENTS Mining Quality Prediction Using Machine & Deep Learning, Machine Learning with Python, and Data Analytics Essential from the Coursera Project Network on Coursera. The DELTA++ project was submitted to IEEE Internet Computing magazine. Presented IEEE paper on IMAGE ENCRYPTION and DECRYPTION, public key cryptography, and certified by Tech Fort Solutions on Android Development at Bhoj Reddy Engineering College. Presented a Technical seminar on AngularJS and NodeJS at Hackathon Hyderabad.Won performance award at HEWLETT PACKARD ENTERPRISE. |
