Default profile banner
SS

Saideep Singireddy

@saideepsingireddy

Data Analyst at Nassau Re

Hyderabad, Telangana, India

Nassau ReUniversity of Connecticut

Saideep Reddy Singireddy is a data professional holding an MS in Business Analytics and Project Management. He possesses comprehensive experience in data analysis, data engineering, and business intelligence, including migrating on-premise data to cloud models using R and SQL. Proficient in Python, SQL, and R, he has applied advanced techniques like K-means clustering and developed dashboards using Tableau and PowerBI to provide actionable business recommendations.

Experience

Data Analyst, Corporate Actuarial

Nassau Re

Full-TimeJan 2020 - Mar 2021Hartford, Connecticut, USA

Was involved in understanding Nassau’s business data, the transition from utilizing on-premise data to cloud data for reporting purposes and the move away from MS Access to R for analytical purposes. Responsible for updating and distributing daily, weekly, and monthly data tables. Collaborated to convert SQL on-premise MS Access Reports to cloud data models using R and tested results. Automated the Exhibit of Life Insurance (EOLI) report using dplyr and SQLdf packages. Analyzed Nassau’s products business across the country and provided business recommendations. Supported reporting for Operations, New Business, and Data Analytics groups.

Graduate Analytics Consultant

University of Connecticut

Aug 2019 - Dec 2019United States

Involved in client meetings to understand business and project requirements. Integrated multiple real estate data resources using VLOOKUP and PIVOT tables in Excel. Applied K means clustering approach in Python to group similar properties. Developed Tableau dashboard to show visual map of selected properties. Identified properties potentially getting high sale returns in Charlotte, NC.

Data Engineer & Business Intelligence Internship

BakerTilly

May 2019 - Aug 2019United States

Gathered requirements and translated business requirements into technical specifications. Involved in identifying facts & dimensions, creating Entity-Relationship diagrams, and developing Data Warehouse Design and ETL strategy. Developed a front-end portal using Microsoft’s Azure Python Flask App. Built ETL process in Python using Azure SQL, Databricks, Data Factory, and Data Pipelines. Applied Image Processing using Python to convert images in PDF files to text. Applied Natural Language Processing using Python to identify key business-centric keywords. Created and maintained auto updatable dashboard using PowerBI.

Education

University of Connecticut

MS in Business Analytics and Project Management

Dec 2019Grade: 3.80/4

PSG College of Technology

Bachelor of Engineering

Computer Science and Engineering

Jun 2017Grade: 8.1/10

Skills

Data Collecting
Data Migrating
Data Cleaning
Data Mining
Data Warehousing
Database Modeling
Entity-Relationship diagrams
ETL
SuperVised and UnSuperVised Learning
Linear Regression
Logistic Regression
Decision Tree
Random Forest
Boosting
KNN
Naïve Bayes
SVM
PCA
K-Means Clustering
NLP
Validation techniques
Hypothesis Testing
A/B Testing
Customer Analytics
Exploratory Data Analysis
Feature Engineering and selection
Data Visualization
Data wrangling
Python
SQL
R
Hadoop
Spark
R Studio
Visual Studio
Visio
Excel
SAS Base
JMP
SAS Enterprise Miner
Tableau
PowerBI
SSIS
SSRS
Microsoft
Linux
Amazon Web Services (EC2)
Microsoft Azure