Summary
Overview
Work History
Education
Skills
Websites
Technical Knowledge
Qualifications And Certifications
Timeline
Generic

Sai Santosh Lakshmi Sindhura Kanchibhotla

Bartlett

Summary

Close to 7 years of experience in IT majorly related to Data Analysis and Reporting. Good knowledge of Data science skills (statistical packages), Managing databases (MYSQL, Oracle), and Statistical program languages (python (numPy and pandas) and R). Experience with extracting raw data from different sources like APIs, Server logs, and Databases to clean/modify them and analyzing with machine learning algorithms to view the results/reports to identify and predict trends and hidden results in the data to benefit business decisions. Worked closely with various teams across the company to identify and solve business challenges utilizing large structured, and unstructured data. Using scikit-learn, to build models like regression, classification, clustering, and random forest/gradient boosting trees on a variety of datasets including large-scale data, unbalanced data, and unsupervised learning data. Used machine learning algorithms and deep learning algorithms to build a model able to predict malicious URLs for FedEx’s internal network. Worked on Azure, GCP environment in analyzing and creating pipelines for large datasets. Created dashboards in Tableau and Power BI for visualization of analyzed data. Experience in Quality assurance standards to maintain SLAs for completing the tickets on ServiceNow and for implementation of these methodologies during the design process and reaching the benchmarks and requirements of the project. Followed the Project management guidelines (PMI) completing the designs on time with proper and supporting documentation.

Overview

11
11
years of professional experience

Work History

Developer/Data Conversion Analyst

Protech Solutions
02.2022 - Current
  • Working for Connecticut State project for Child Support Program (CCSES+)
  • Involved in ETL process using SQL server management studio (SSMS), Version Control, and Microsoft Office for millions of records
  • Actively participate in the state meeting in the project initiation and design phase
  • Working on analyzing the data for conversion SQL and validation SQL scripts and mapping the data as per the new system using legacy mainframe architecture
  • Creation of dashboards focusing on the granularity of cases present in the CCSES+ system using Power BI.

Data Analyst

FedEx Services (UMRF)
02.2020 - 12.2021
  • Identify technical issues on diverse data platforms using reporting tools such as Splunk
  • Analyzed server log data as per the requests and generated reports, dashboards, and alerts
  • Resolved raised concerns in a proactive manner based on analysis
  • Assisted in building a Machine Learning Project that locates and categorizes malicious URLs in server logs of the internal network
  • Worked on building the model and creating the dataflows and pipelines using Azure Data Factory to monitor the server logs in detecting malicious URLs
  • Created dashboards using Power BI for the network operations center (NOC) in analyzing and identifying anomalies detected in server log data
  • Earned experience in breakthrough technologies through Machine Learning Projects that included Feature Engineering, Behavioral Analytics, and Predictive Modelling dashboard creation
  • Monitored and analyzed server log performance data to identify and resolve issues, ensuring high-quality service delivery
  • Collaborated with NOC and security operations center (SOC) teams to align efforts and achieve common goals, based on analytical reports.

Technical Associate - IT

ICRISAT
01.2018 - 01.2019
  • Led the design and management of the organization’s database using Data Manipulation Language and Data Query Language which relates to the crop critical data
  • Optimized SQL queries for performance by building views, stored procedures, and triggers
  • Refined the accumulated data for data analytics purposes that played an instrumental role in forecasting crop growth and other essential data
  • Regression models predict crop growth for better yield in semi-arid tropical conditions
  • Worked on ETL processes to load data from numerous sources (XML, Excel, CSV files, and doc files/feeds).

Network Operations Center (NOC) Engineer

General Electric
01.2013 - 07.2016
  • Incident Management experience handling high-critical infrastructure and applications in the production environment
  • Facilitate escalations, outage notifications, and troubleshooting on the bridge calls with the restoration of services as the primary objective
  • Problem Management experience working on problem tickets where major/recurring incidents are ticketed and discussed with the SMEs for identifying the root cause and implementing a permanent solution
  • Change Management experience in verifying the impacted components of a CI in CMDB and approving the change tickets
  • Also, handle the task of silencing monitoring during the change window.

Education

Master of Science - Management Information Systems

Univesity of Memphis
Memphis, TN
12.2022

Skills

  • Database Management
  • Bigdata Analytics
  • Data Quality Management
  • Data-Driven Solutions
  • Data Governance
  • Reporting and data gathering
  • Data Security and Confidentiality
  • Research and Data Analysis
  • Data Warehousing Management
  • Data Validation
  • Data Collection & Research
  • Analyzing data
  • SQL database expertise
  • User Requirements
  • Agile Methodologies
  • Version Control
  • Information Security
  • IT Infrastructure
  • Cloud Computing
  • Business Process Analysis
  • Business Intelligence
  • Data Modeling
  • Change Management
  • Systems Analysis
  • Technical Analysis

Technical Knowledge

Azure, GCP, SailPoint, CyberArk, Service Now, Jira, Top desk, MySQL & Oracle, Azure SQL database, PL-SQL, Mongo DB, GitHub, Ansible, Docker, Jenkins (CI/CD), Gitlab, Microsoft Visual Studio, Machine Learning Algorithms: K-Means Clustering, ARM, Random Forests, Decision Trees, Naïve Bayes, Linear Regression, Logistic Regression, Support Vector Machines Deep Learning Algorithms: Artificial, Bayesian, and Convolution Neural Networks, Time series analysis, Hadoop Distributed File Systems, Hive, Py Spark, Data bricks, Snowflake, R (RStudio, ggplot2, dplyr), Python (SciPy, NumPy, Matplotlib, Pandas), Tableau, Power BI

Qualifications And Certifications

  • Graduate Certificate in Business Project Management, University of Memphis, 12/2022
  • Graduate Certificate in Data Analytics for Management, University of Memphis, 12/2022
  • Data Analysis in HealthCare by ELVTR, 12/2023
  • CyberArk Certified Trustee (1059844), CyberArk, 06/21/2020
  • Microsoft Azure Fundamentals AZ-900 (H895-8329), Microsoft, 07/10/2021
  • CISCO Intro to Cybersecurity, CISCO, 10/18/2022
  • ITIL4, Axelos, 10/17/2023
  • Microsoft Power BI Data Analyst DP-300, Ongoing
  • Master’s in Information Systems, University of Memphis, Tennessee, 12/22, 3.65
  • Bachelor of Technology in Civil Engineering, JNTUH, India, 06/12, 3.75

Timeline

Developer/Data Conversion Analyst

Protech Solutions
02.2022 - Current

Data Analyst

FedEx Services (UMRF)
02.2020 - 12.2021

Technical Associate - IT

ICRISAT
01.2018 - 01.2019

Network Operations Center (NOC) Engineer

General Electric
01.2013 - 07.2016

Master of Science - Management Information Systems

Univesity of Memphis

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Sai Santosh Lakshmi Sindhura Kanchibhotla