Manraj Singh

MS in Data Science & Business Analytics

August 2021 - August 2023

Relevant Coursework

• Computing Platforms & Frameworks for DS
• Intelligent Neural Networks & ML
• Data Science Strategy & Leadership
• Database Management
• Statistical Analysis
• Python, R, Spark, Hive, GCP BigQuery, Oracle, Snowflake, Tableau & Power BI

BS in Biological Sciences, Computer Science

August 2017 - May 2021

Relevant Coursework

• Data Structures & Algorithms
• Object-Oriented Concepts & Abstract Data Types
• Human-Computer Interaction
• Probability & Statistics
• Algorithm Design & Analysis
• Evolutionary Biopsychology

Aptiv

June 2023 - Present

Lead CX Data Analyst

• Developed an NLP-driven automated sentiment analyzer that eliminated manual review of customer feedback, reducing analysis time by 10 hours per week, and accelerated discovery of key business opportunities by aggregating thousands of open-ended comments.
• Developed and deployed NPS dashboards in Tableau, visualizing customer sentiment across all OEMs, departments, and business units, and integrated financial metrics such as operating income and revenue data to inform strategic decision-making for C-suite executives.
• Led the project management of global implementation of a Salesforce live case management system, centralizing over 100 yearly CX-related actions with Tier 1 automotive OEMs, enhancing real-time tracking to organize and improve customer relationships year-over-year.
• Established and visualized a comprehensive customer journey mapping process from scratch, bringing visibility into customer engagements at each unique stage of Aptiv’s product development lifecycle, to identify systemic bottlenecks.

OneMagnify (MS Capstone)

June 2023 - August 2023

Data Scientist

• Leveraged Snowflake technology to integrate PHQ Web SLA Claims processing system data and Salesforce IVR Case/Voice Call data into one centralized cross-cloud "Snowgrid" data infrastructure.
• Employed Airbyte middleware to create data pipelines to sync from SFDC to Snowflake in batch mode, and set up OAuth security integration to protect data.
• Utilized Python's Streamlit to deploy real-time, interactive dashboards with connected Snowflake data, through libraries such as Plotly, Matplotlib, Seaborn, etc.
• Gained ability to monitor compliance with agreed upon SLAs between company and clients, and to monitor KPIS and react to increase in call/claim volumes.

General Motors (via Dentsu International - Carat USA)

September 2021 - June 2023

Senior Media Analytics Analyst

• Developed advanced analytics dashboards, models, measurement plans, and knowledge-base assets, streamlining business intelligence and innovating people-based marketing strategies for optimal KPI analysis in GM brands' Tier 1 advertising.
• Conducted regular data audits across the pipeline (AWS Redshift), uncovering aggregation discrepancies that caused underperformance in campaigns; collaborated with cross-functional teams to realign strategies, leading to budget adjustments exceeding $700,000 to better target potential customers.

Advaita Bioinformatics

June 2021 - August 2021

Digital Marketing Specialist

• Improved SEO strategy, increasing monthly website traffic by 148% over three months by optimizing webpage elements.
• Developed marketable case studies by web scraping research databases (e.g. Google Scholar) to uncover all mentions of company services in published research papers. Performed data cleaning, created a centralized database, and visualized results on website with HTML, CSS, and JavaScript.
• Utilized Google Analytics & CRM to overhaul customer segmentation and tailor marketing campaigns towards different audiences. Increased user engagement time on social pages by 443% as a result.

Wayne State University School of Medicine

July 2019 - March 2020 (COVID)

Undergraduate Research Assistant

• Doubled procedural efficiency by developing data pipeline to statistically analyze and visualize results from MATLAB to Excel by preparing templates to crunch numbers and visualize results instantly, which removed the grunt work of analysis.
• Validated incoming data for information accuracy and integrity while independently locating and correcting concerns.

Languages and Databases

Frameworks

Tools