SERGE-ERIC KELLER
347-***-**** ***************@*****.*** LinkedIn Gainesville, VA
SUMMARY
Results-driven Data Analytics professional with over 9 years of experience leveraging advanced analytics, statistical modeling, and data visualization to drive business insights and decision-making. Proficient in using tools such as Python, SQL, Qlik Sense, Power BI, and Tableau to analyze large datasets and extract actionable trends. Expertise in optimizing business processes and delivering strategic recommendations that enhance performance and profitability. Strong communicator with a proven track record of collaborating with cross-functional teams to translate complex data into clear, impactful insights for stakeholders. Highly adept at identifying opportunities for growth, cost savings, and efficiency improvements through data-driven strategies.
Professional Experience
Bank of America — Charlotte, NC
Data Analytics Manager
October 2021 – Present
Led a team of 10 analysts in analyzing and interpreting complex datasets to drive insights and reports on liquidity status, risk, and operational efficiency.
Spearheaded the development of error-free FR2052a reports to the FRB, improving liquidity management by 15%.
Collaborated with senior leadership and cross-functional teams to align data initiatives with business objectives, resulting in a 12% rise in overall efficiency.
Designed and implemented data visualization dashboards in Tableau to provide real-time insights on KPIs, leading to more informed decision-making by executives.
Drove end-to-end project management for data initiatives, including gathering requirements, developing data strategies, and delivering final reports and presentations.
Utilized SQL, and advanced Excel to extract, analyze, and present financial data from large datasets.
Verizon — Piscataway, NJ
Senior Analytics Consultant
June 2019 – September 2021
Conducted in-depth analysis of customer behavior and marketing portfolios to support business strategies, contributing to a 20% reduction in non-performing campaigns.
Developed interactive Tableau and Qlik Sense dashboards for real-time monitoring of operational performance and customer trends, enhancing management decision-making.
Partnered with test and development teams to build an in-house tool for near real-time reporting, improving operational accuracy by 18%.
Automated data collection and reporting processes using Python and SQL, saving the team about 25 hours of manual work weekly.
Samsung Electronics America — Ridgefield Park, NJ
Business Management Data Analyst
June 2018 – June 2019
Analyzed large datasets to identify key trends in customer transactions, providing insights that helped increase cross-sell rates by 8%.
Collaborated with marketing teams to optimize product segmentation models, driving a 15% increase in targeted marketing campaign success.
Built and maintained complex SQL queries to extract and analyze data for reporting and business needs.
Delivered comprehensive reports, Qlik Sense, and Power BI dashboards for internal teams, improving the speed of data-driven decision-making.
Sumitomo Mitsui Banking Corporation (SMBC) — New York, NY
Data Analyst
December 2017 – June 2018
Conducted quantitative analysis, providing insights that led to a 10% reduction in credit risk exposure.
Developed data-driven models for improving customer segmentation and product targeting, contributing to a 7% increase in loan originations.
Collaborated with financial analysts and risk management teams to streamline reporting processes, reducing the reporting cycle time by 20%.
Utilized SQL and Excel to extract, analyze, and report on large datasets for regulatory and business reporting.
Bank of Montreal (BMO) — New York, NY
Business Data Analyst
December 2016 – December 2017
Analyzed business processes and financial data to identify inefficiencies, implementing data-driven solutions that reduced operational costs by 8%.
Developed financial models to assess profitability and risk for new product offerings, enabling informed decision-making by senior management.
Collaborated with cross-functional teams to streamline reporting and forecasting processes, improving accuracy and reducing cycle time by 15%.
Utilized Excel and SQL for data analysis, reporting, and providing actionable insights to optimize business performance.
Spotify — New York, NY
Data Analyst
November 2015 – December 2016
Analyzed user behavior data to optimize personalized recommendations, leading to a 10% increase in user engagement and retention.
Developed and maintained dashboards in Tableau for tracking key performance indicators (KPIs) related to user acquisition and content consumption.
Collaborated with the product and marketing teams to evaluate A/B tests, providing insights that improved campaign effectiveness by 15%.
Utilized SQL and Python to extract and manipulate large datasets, delivering actionable insights to drive data-informed decision-making.
SKILLS
Data Manipulation: SQL, Python (Pandas, NumPy, Matplotlib), SAS Enterprise Miner.
Data Visualization: Qlik Sense, Tableau, Power BI, Splunk, Alteryx.
Data Analysis & Modeling: Python, SQL, Excel (V-lookup, Pivot, Data Profiling, Data Validation).
Database Management: SQL Server, Oracle.
Project Management: Agile, Scrum methodologies.
Planning & Tracking: SharePoint, Confluence, Jira.
ETL: Informatica, Talend Open Studio, SAP Business Objects, Pentaho.
Testing: Functional Testing (UAT, SIT), Non-Functional Testing (PT), Automation Testing (RT), A/B Testing, ANOVA.
Programming: Python, HTML, CSS, C#.
Leadership and Team Management
Education
Bachelor of Science in Biology
Montclair State University, NJ
Graduated: May 2013
Relevant Coursework: Pre-med.
Master of Science in Business Intelligence & Data Science
Saint Joseph’s University, PA
Graduated: May 2018
Relevant Coursework: Data Analytics, Visualization & Mining, Predictive & Performance Analytics, Statistical Analysis, Machine Learning, Process Simulation.
Certificates
SAS Enterprise Miner
Qlik Sense Business Analyst
Azure Fundamentals
Lean Six Sigma Yellow Belt