Shoeb Saifee Email & Phone Number

Menomonee Falls, Wisconsin, Us

I am an accomplished Senior Data Engineer with a proven track record of driving data-driven solutions and optimizing processes within the e-commerce industry. As a dedicated professional at Kohls.com, I specialize in harnessing the power of data to deliver strategic insights, facilitate decision-making, and improve overall business performance.Key Skills:1) Design and develop scalable data pipelines, extracting, transforming, and loading data from various sources into the data warehouse.2) Optimize data integration processes to enhance efficiency and improve data quality, enabling accurate and timely analysis.3) Collaborate closely with data scientists and analysts to define data requirements and deliver actionable insights.4) Implement data governance policies, ensuring compliance with industry regulations and best practices.5) Lead data engineering initiatives, providing technical guidance and mentoring junior team members.

Data Engineer and Analyst for building and developing an industry-leading flagship product, Predictive Acquisition Cost (PAC), a drug pricing model based on industry pricing estimates. The very profitable product solved drug pricing challenges in the pharmacy industry and was adopted by stakeholders across the supply chain.  Created a complex data pipeline with drug pricing data gathered from multiple resources in various formats: a government website called State Maximum Allowable Cost (SMAC), published industry benchmarks, and retail and pharmaceutical websites. Used AWS services: RDS, EC2, S3, EFS, DynamoDB, and API Gateway.  Performed unstructured to structured data conversions and data integration and cleansing to improve quality.  As part of a team effort, built a process to match the drug name with the GCN (Generic Code Number) and then passed the data to a predictive analytics algorithm.  Designed and built processes to generate dashboard reports used to prepare data for analytics or modeling, including statistics such as matching rates, data outliers, and any gaps.  Maintained existing data and monitored data refresh for all factory processes to ensure accuracy.

San Francisco, Ca, Us

Designed, developed, and implemented a corporate infrastructure, a data architecture, a data repository, and an analytics environment from scratch. Designed and deployed data pipelines and data services to support predictive analytics solutions used by financial managers to make informed private market investment decisions about pre-stage startups.  Built a data lake and processes for exploratory data analysis of structured and unstructured data. Collected large data volumes from third-party vendors (Dow Jones, Pitchbook, Crunchbase, Angel.co, etc.) and from the company being evaluated. Enabled investment managers to perform valuation multiples analysis using a metrics-based approach to measure a company's performance and understand how similar businesses compare in value.  Ensured and sustained data quality with an extensive QA process that identified potential data issues. Generated data quality reports and then worked to remediate any issues.  Developed web utilities in collaboration with vendors to support the investment analysis process. Managed data migration to a new CRM solution (Affinity). Implemented many small data pipelines to fetch data, using Affinity API, into our system and vice versa from our data warehouse to Affinity CRM. Managed data feeds and generated reports for measuring and monitoring performance.

New York, Ny, Us

Inductis is a top notch consulting and analytics company which got acquired by EXL services in 2006. EXL's services are structured around insurance, banking, financial services, utilities, healthcare, transportation and travel industries. I worked here as a Marketing Analytics consultant in US healthcare analytics for Aetna. Awarded Star Employee of the quarter for individually handling clients, understanding their business needs and providing various technical solutions in a very short period of time. Develop and document repeatable data loading, profiling and reporting programs in SAS for use across clients. Designed and Implemented quality check reports to verify, validate the health of a database. This utility was earlier designed for just Marketing department but now it is been used across all the departments within Aetna. Designed and implemented multithreaded Data Migration procedures using SAS and Perl to automate the transfer of data from high volume SAS storage to IBM UNICA on AIX servers. Replaced and eliminated time-consuming manual process, saving analyst 2 hours daily and dramatically increasing reporting capabilities by developing and rolling out new database design which helped in retrieving the reports faster and efficiently out of the UNICA system. Designed built-in code versioning system with command line access for AIX development server users to help them maintain the code library efficiently in SAS and Perl with proper access mechanism. Designed a process to check and validate bulk email-ids at a rate of 1 million per minute for sending emails to customer with valid email id. Hence reducing the spam sent by more than 15%. Helped resolve critical Data Archive process; identified problems, recommended improvements, and worked in collaboration with the technology team to implement issue resolutions.

New Delhi, Delhi, In

Firefly e-Ventures Ltd is a 100% HT (Hindustan Times) Media subsidiary, focuses on creating and building brands and businesses in the Internet media space. It’s one of the fastest growing internet company in India which holds brands like Hindustantimes.com, Livemint.com, Desimartini.com and Shine.com in its portfolio. - Implemented an algorithm to identify ‘fraud’ candidate profiles using SAS procedures.- Created a CV Quality score based on profile completion of candidates allowing to sort good (contactable, more detailed) profiles above others.- Implemented a script to create candidate XMLs to store and index all candidate profile information for SOLR based candidate search engine. Achieved a 97% reduction in generation time as compared to JDBC/ODBC based data conversion by using text exports and parallel processing.- Designed and implemented end to end server side data migration for shine.com from SQL server to MySql , SAS and Mongo using open source technology on Windows and UNIX platform.- Conceptualized Full mobile database migration for HT Mobile Solution (12cr mobile number records) from different platforms including Velti (Oracle base mobile CRM) and SQL server into MySql and SAS.- Created automations (email, file share, ftp) and provided access-controlled interfaces to generate all the reports consisting of KPIs saving significant manual efforts and also standardizing the reports.

In

- Did explantory data analysis, data processing and data cleaning in order to plan implementation for prospective analytics technique.- Capturing and amalgamating data from multiple sources (internal/external client , databases etc.) into centralized database in SAS.- Provide data extraction and analytics support for variety of internal customers and internal recipients via flat files, SAS dataset , Pivot tables, Excel dashboards and reports.

Implemented a News Automation system in J2EE.Implemented file upload, SMS verification & alerts and email newsletter as a part of the project.Technologies used include JSP, Ajax, and HTML.

Hyderabad, Andhra Pradesh, In

Implemented a Speech Recognition System using Neural Networks.

Master Of Science - Ms, Computer Software Engineering

Bachelor Of Engineering (B.E.), Computer Science