Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

SRINATH NAIK

Summary

Data Science Experience (3 years)

  • 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
  • Planet, Asset, Atoll, MapInfo, Windcatcher, X-CAL/, Actix, IBwave, TEMS, TrueCall, Falcon

Certification

  • IBM certificate in Python for Data Science

Timeline

Data Scientist

Dallas Data Science
08.2021 - Current

Data Analyst

SynapsIQ
11.2019 - 05.2021

RF Optimization Engineer

StarTech Networks Inc, GTL
06.2016 - 06.2019

Master of Science in Information Technology -

Campbellsville University

Master of Science - Computer and Information Sciences

The American College of Commerce And Technology

Bachelor of Business Administration -

Symbiosis International University
SRINATH NAIK