Developing and implementing machine learning algorithms
Building predictive models and data-driven solutions
Communicating insights to technical and non-technical stakeholders
Staying updated with emerging trends in data science
Ensuring data quality and accuracy
RF Engineering Experience (5 years)
Module design and equipment installation
Efficient, innovative, and thorough testing and troubleshooting
Collaborating with other engineers and technicians
Covering multiple data sites
Committed to quality service
Overview
8
8
years of professional experience
1
1
Certification
Work History
Data Scientist
Dallas Data Science
Dallas, TX
08.2021 - Current
Performed data cleansing and manipulation on complex datasets, laying the groundwork for subsequent analysis
Applied scikit-learn package in Python to implement a range of machine learning algorithms including decision trees, regression models, SVM, and clustering for enhanced statistical analysis.
Utilized Python for data pre-processing, cleaning, and feature engineering while also performing data imputation techniques to address missing values.
Visualized data using matplotlib and seaborn libraries to perform Exploratory Data Analysis (EDA) and identify patterns and correlations among features.
Performed statistical analysis on diverse data sets using linear regression and classification models
Utilized pandas, numpy, seaborn, scipy, matplotlib and scikit-learn in Python to create a range of machine learning algorithms
Worked on different data formats such as JSON, XML, CSV, .dat and exported the data into data visualization/ ETL platform
Evaluated model performance using techniques like R square, adjusted R square, confusion matrix, Root mean squared error etc.
Used problem-solving skills to find and correct the data problems, applied statistical methods to adjust and project results when necessary
Data Analyst
SynapsIQ
Ashburn, VA
11.2019 - 05.2021
Performed data analysis and generated reports to support decision-making processes
Developed and maintained data visualization dashboards to communicate insights effectively
Collaborated with cross-functional teams to gather requirements and understand business needs
Conducted data cleaning and preprocessing to ensure data integrity and reliability.
RF Optimization Engineer
StarTech Networks Inc, GTL
Plano, Tex
06.2016 - 06.2019
Designed and implemented RF systems for wireless communication networks, ensuring compliance with industry standards and regulations.
Performed site surveys, link budget calculations, and coverage predictions to optimize RF system performance.
Collaborated with cross-functional teams to integrate RF systems with other network components.
Conducted regular maintenance and troubleshooting activities to ensure system reliability and uptime.
Trained and mentored junior engineers on RF system design and implementation best practices.
Optimized cell site configurations based on customer feedback regarding service quality in specific locations or regions.
Created customized scripts using scripting languages like Python or Perl for automating repetitive tasks in optimization projects.
Implemented software upgrades on base stations and other network elements as part of optimization efforts.
Analyzed network performance data to identify opportunities for improvement in coverage, capacity and quality.
Trained colleagues in best practices related to RF optimization processes and procedures.
Utilized specialized tools such as TEMS Investigation or Atoll for post-processing drive test data or generating coverage maps.
Interpreted results from various types of testing conducted on the live network environment.
Monitored KPIs such as dropped calls, blocked calls and call setup times on a regular basis to ensure optimal network performance.
Performed RF optimization for multiple cellular networks, including GSM, WCDMA and LTE.
Reviewed network designs prior to deployment in order to identify any potential issues that could affect overall performance.
Generated detailed reports summarizing optimization activities and results achieved.
Education
Master of Science in Information Technology -
Campbellsville University
05.2018
Master of Science - Computer and Information Sciences
The American College of Commerce And Technology
Falls Church, VA
05-2016
Bachelor of Business Administration -
Symbiosis International University
05.2013
Skills
Machine Learning Algorithms (Supervised and Unsupervised Learning)
Predictive Modeling
Data Analysis and Visualization
Programming Languages (Python, R, SQL)
Data Mining and Exploration
Statistical Analysis
Communication and Presentation Skills
Project Management
Collaboration and Teamwork
SA, NSA, LTE, UMTS, WiMax, CDMA - 2000, GSM, WiFi, EVDO, Indoor /Outdoor DAS
Computer Science Undergraduate Grader at Erik Jonsson School of Engineering and Computer Science - The University of Texas at DallasComputer Science Undergraduate Grader at Erik Jonsson School of Engineering and Computer Science - The University of Texas at Dallas
Data scientist-Data science and innovation (Consumer Data office) at Westpac GroupData scientist-Data science and innovation (Consumer Data office) at Westpac Group