Dhwani Rajesh C. github.com/dhwanirc

adcg5t@r.postjobfree.com 919-***-**** linkedin.com/in/dhwanirc

Work Experience Data Scientist, TKXS LLC, USA Jul 2019 - Present

- Building high-quality statistical models by executing the entire model-building process, including data cleaning, feature engineering, model selection, validation and delivery for determining the efficient marketing strategy.

- Mapped Google map API with data to calculate travel distance to automate assigning tasks to business representatives by mathematical optimization algorithm and reduced the cost by 35% compared to manual practice.

- Collaborate with marketers to identify areas of opportunity for a data science solution, and translate business questions into statistical models, visualizations, and analysis.

- Developed and delivered business intelligence reports and performed flexible data queries and analysis.

- Validated existing data models and cross-verified results on statistical terms, such as - Accuracy, Kappa Value, RMSE, ROC, etc. TECH STACK: R, Python (Jupyter Notebook), SQL Server, Tableau Advanced Data Scientist Intern, ABB Inc, USA Jan 2019 - Jul 2019

- Built recommendation system to suggest relevant news to the marketing team with News API and Natural language processing with tf-idf and LDA to improve business opportunity.

- Forecasted number of customers complaints with 88% accuracy by designing time-series model pipeline.

- Communicated with all levels of stakeholders including directors, analysts and other functional teams to maintain data consistency and present business insight. TECH STACK: Python, R, PowerBI, MySql Graduate Research Assistant, University of North Carolina, Charlotte, USA Feb 2018 - May 2018

- Developed a drainage method in ArcGIS and Python with Lidar-Derived Digital Elevation Model (DEM) to preserve the natural flow of the streams in collaboration with North Carolina Department of Transportation.

- Optimized R’s Random Forest Library by deciding the optimal split which is a linear combination of all randomly selected features in a single decision tree to have better time and space complexity. TECH STACK: R, Python, ArcGIS Machine Learning & Software Engineer, Narola InfoTech Pvt. Ltd., India Sep 2016 - May 2017

- Designed a tool in MATLAB for diamond planer machine to plan the cutting angles for a rough diamond in the most optimized way to maximize the profit with genetic algorithms and operational research algorithms.

- Achieved 98% accuracy in generating a 3D point cloud of rough diamond from images. Education Master of Science, Computer Science Aug 2017 - Dec 2018 University of North Carolina, Charlotte, USA GPA: 3.9/4 Bachelor of Engineering, Electronics & Communication Jun 2012 - May 2016 Gujarat Technological University, India GPA: 3.7/4 Technical Skills Languages and Database: Python, R, C MySQL, SQL, Amazon S3 Other Tools: Tableau, Power BI, REST API, MATLAB, SPSS, Hadoop (MapReduce, Hive, Pig), Spark Machine Learning: Regression, Classification, Clustering, Operational Research, Artificial & Convolutional Neural Network, Time-Series Analysis, Bagging and Boosting Projects Complaint Handling System: Automated process of

handling complaints by classifying department through NLP with 88% accuracy and notifying customers the

status of complaint in real time. Awarded as most

creative tech-solution by Carolina Fintech Hub

hackathon among 7 Universities. Tools: Python, Kibana, Twillio API

Teradata Data Challenge: Presented a business

strategy for campaign’s acquisitions to achieve the goal of attracting new riders/teams and increase funds. The process included data cleaning of large datasets,

visualization and model building to predict funds and participants. Tools: R, Python, SQL, Tableau, Excel